Information has a
price.
The Large Pricing Model (LPM) computes a live market price for every article, video, podcast and dataset. Calibrated by real transactions. A receipt on every quote.
Pricing every piece of information on Earth.
LLMs predict the next token. LPM™s predict the next price.
Type a topic, ask a question, or paste your own writing. The LPM computes its market value.
The quote.
Every priced asset on the network carries a benchmark price, an execution price, a confidence score, and an evidence trail — recomputed every one to two seconds.
10 live quotes from the network — right now
Maritime Coatings Cut Drag, Reset Shipping Math
Eighteen months of fleet trials suggest molecular surface technology is no longer an experimental line item but a structural variable in marine economics.
Cargo operators are quietly rewriting their fuel models after a third independent fleet reported sustained drag reductions in the high single digits — a figure that compounds quickly across thousand-mile routes.
The coatings, applied during routine drydock, alter how the hull interacts with seawater at the molecular scale. Engineers describe the effect as the ship "forgetting" most of the friction it would otherwise carry.
Insurance underwriters have begun adjusting maintenance assumptions, and at least two shipbuilders are rewriting their reference specs around the technology rather than treating it as an aftermarket option.
Three major banks now model fleet-wide fuel savings of $4–$6 per nautical mile on container routes — numbers that, held over a year, exceed the commissioning cost of a single mid-size vessel.
Nanotech coatings reset drag math; eight-percent fleet savings reported
Three commercial fleets report sustained reductions across an eighteen-month trial — insurers and shipbuilders quietly recalibrating reference specs.
- 14:32SHIP-IDX opens up 0.84% as coatings data circulates across Asia desks
- 14:28Maersk says Q3 fuel costs down 6.1% YoY across Apex-class fleet
- 14:21Lloyd's moves two hull-coating underwriters to standard-tier classification
- 14:14Korean shipbuilder revises 2027 reference spec to include coating as standard
AI margins are about to compress — and what survives the squeeze
分子コーティング、船舶燃費を約8%改善
三社の商用船隊で18か月にわたる海上試験を実施。摩擦と整備サイクルの双方で構造的な改善が確認された。
大型貨物船の運航各社は、これまで実験的とされてきた分子レベルのコーティング技術を、航海経済の構造変数として再定義し始めている。
定期ドック入りの際に施されるこの処理は、船体と海水との相互作用を分子スケールで変化させる。技術者はこの効果を、船が摩擦の大半を「忘れる」状態だと説明する。
保険会社は整備前提を見直し、少なくとも二社の造船所が、後付けではなく標準仕様としてこの技術を組み込む方向で設計指針を改訂している。
三大銀行は、コンテナ航路で1海里あたり4〜6ドルの燃料節減を新たな前提に織り込み始めた。年間で見れば中型船一隻の就航費用を上回る規模だ。
Les revêtements moléculaires redéfinissent l’économie maritime
Dix-huit mois d’essais en mer sur trois flottes commerciales suggèrent un déplacement structurel des hypothèses d’ingénierie marine.
Les opérateurs de fret réécrivent discrètement leurs modèles de carburant après qu’une troisième flotte indépendante a fait état d’une réduction soutenue de la traînée — un chiffre qui se compose rapidement sur les routes de mille milles.
Les revêtements, appliqués lors des passages au bassin, modifient la manière dont la coque interagit avec l’eau de mer à l’échelle moléculaire. Les ingénieurs décrivent le navire comme « oubliant » la majeure partie de la friction.
Assureurs et chantiers navals révisent désormais leurs spécifications de référence autour de la technologie : trois grandes banques modélisent des économies de 4 à 6 dollars par mille marin — un chiffre qui, sur un an, dépasse le coût de mise en service d’un navire de taille moyenne.
- Trois flottes, dix-huit mois d’essais en mer.
- 4 à 6 dollars d’économie par mille marin.
14 PREMIUM TOWERS FACE STRUCTURAL AUDIT AFTER MONSOON DAMAGE
Petition before high court next week could pause new construction across the western suburbs corridor.
Officials confirmed late Tuesday that fourteen high-rises in the western suburbs would face independent engineering review after assessments flagged concerns following last month’s heavy rain. The order applies to towers completed within the past five years and may extend to twenty-three additional sites pending appeal.
The review covers towers in Borivali, Kandivali, Mira Road and Dahisar, where facade seepage and service-core cracking appeared in post-monsoon inspection notes. Developers have 72 hours to file third-party certificates, while resident associations are preparing a consolidated stay plea before Tuesday’s hearing.
Municipal engineers said towers that fail the first round may be moved into a second-stage audit covering basement waterproofing, lift cores and podium drainage, with lenders and insurers expected to seek updated structural disclosures before any fresh inventory in the corridor is cleared for sale.
Two senior officials said the city is also reviewing whether monsoon-response rules for premium residential towers should be tightened before June, including mandatory drainage stress tests, facade sealing logs and a central register of post-handover defects that buyers, banks and insurers could inspect in real time.
- TRANSPORTWestern Line slow zone expands after signal fault near Andheri07:12
- CIVICVersova ferry terminal clears coastal regulator review08:18
- COURTDharavi rehab petition moved to Friday division bench09:04
- CRIMEBandra heist suspects tracked to Palghar toll plaza09:44
- WEATHERIMD issues yellow alert for Thursday evening storm cells10:06
- SPORTIndians seal series as Bumrah defends the final over10:37
- BORIVALI4 towersnotices sent
- KANDIVALI3 sitesfacades flagged
- MIRA ROAD5 reviewscertificates due
- HC LISTINGTue 10:30stay plea
Markup vote on the spectrum bill expected before midnight; three holdouts named
Three sovereign-wealth funds quietly increased their stakes in continental infrastructure bonds
The takeaway. Norway, Singapore and Abu Dhabi each added to existing positions in the same three quarters — roughly €18 billion combined, across rail, fibre and power-grid issuers.
An asset manager, a futurist, and a regulator walk into a hearing room
A live recording from Senate Banking on the Stable-Coin Reform Act — with three guests who almost never share a stage.
Tarifrunde Metall: Streiks in vier Bundesländern angekündigt
Gewerkschaft IG fordert 7,2 Prozent — Arbeitgeberverband warnt vor strukturellen Folgen für den Mittelstand.
Berlin — Die IG Metall hat am Dienstagabend einen koordinierten Streikaufruf für Werke in Baden-Württemberg, Nordrhein-Westfalen, Hessen und Bayern beschlossen. Betroffen sind nach Angaben der Gewerkschaft rund 84.000 Beschäftigte in 162 Standorten der Metall- und Elektroindustrie.
Der Arbeitgeberverband Gesamtmetall rief am Mittwochmorgen zu erneuten Verhandlungen vor dem Wochenende auf. Die Tarifkommission hatte zuvor mit großer Mehrheit gegen das jüngste Angebot von 4,1 Prozent gestimmt.
Der DAX-Industrieindex schloss am Mittwoch 0,4 Prozent im Minus; Zulieferer mit hoher Lohnkostenquote gaben deutlicher nach. Im Hintergrund verhandeln Vermittler im Auftrag des Bundesarbeitsministeriums — bislang ohne öffentliche Zusage einer Schlichtungsrunde.
- DAXIndustrieindex schloss 0,4% im Minus; Zulieferer unter Druck
- POLITIKBundesarbeitsministerium entsendet Vermittler — keine Zusage
- KOMMENTARWarum 7,2 Prozent den Mittelstand überfordern könnten
The price tells you what it costs. The decomposition tells you why.
Live Pricing Lab (Beta).
The Index BETA v 1.0.6Analyzing your content…
Getting real-time market valuation
How prices form.
The LPM prices an asset from its own properties — not from advertiser demand for an audience. Content goes in. A quote comes out. Every settled transaction feeds back. This is endogenous pricing. The price comes from the asset, not from an auction.
Hot as a locker-room injury report. Evergreen as an explainer. Every quote ships with its band.
In production.
Live everywhere. 150+ languages. Zero marketing spend.
Every number is moving while you read this.
One Signal, every surface.
The Signal is the live mark of a priced asset. It carries the price, the verification URL, and the proof of life. Wherever information moves, the Signal travels with it.
The Federal Reserve held rates steady at its November meeting, signalling two cuts in 2026 $4.217.
Markets read the decision as dovish; the 2-year Treasury yield dropped 7 basis points within minutes of Chair Powell's press conference $2.405.
Nvidia's Q3 print, released the same morning, beat consensus by 14 percent on the back of data-center revenue growth of 94 percent year-over-year $3.052.
Three sources cited. Total settled: $9.674 · 87% verified.
Same SVG glyph. Same verification URL. Same price. From a 12 px badge in a feed to an inline citation in an AI response — the Signal is a receipt, not an opinion.
Build on it.
One pricing engine. Three surfaces. Plus an open API for agents and developers. Every quote — on every surface — comes from the same LPM, calibrated in real time, on the same data.
Machine Economy Lane
A standard rate card for AI.
Stop scraping. Stop negotiating bilateral deals. Get a priced, metered, rights-managed path to every piece of content in the corpus — through one endpoint.
- Per-call, per-document, or per-token pricing — quoted by the LPM in real time.
- Explicit rights on every transaction: view, summarize, retrieve, train.
- Auditable receipts for every access — for legal, for compliance, for the record.
- Budget controls, rate limits, and cycle detection built in.
Pricing API
One endpoint. Every priced asset.
Build pricing into your product. Search, watchlists, alerts, derivatives, agents, vertical apps — anything that needs a price for information, in real time, with confidence and evidence.
- Quote, history, forecast, evidence — REST endpoints for every LPM output.
- 14 trust factors and a confidence score returned with every quote.
- Built for search, agents, derivatives, dashboards, vertical apps.
- Open API spec — competitive systems welcome.
QMV Private
The LPM, in your vault.
Banks, law firms, healthcare, government. Content valuation that never leaves your environment — no similarity network, no public comparables, no information leakage.
- Isolated instance — runs inside your perimeter or in a dedicated tenant.
- Priced on the Content Genome and your Publisher Genome only. The public corpus is not consulted.
- For proprietary research, clinical data, legal analyses, internal corpora.
- Custom engagement. SOC 2 · ISO 27001 · enterprise SLA.
Every result comes with its market value attached.
- Search a priced index of information — topics, articles, videos, podcasts, datasets.
- Live market value, confidence, and forecast on every result.
- Track topics, build watchlists, see what the market is paying attention to.
- Free to search. Sign up to save and follow.
Trade what's worth knowing.
- Live prices on millions of assets across 30+ countries.
- Trade as a buyer, a seller, or both — on the same venue.
- Settle in cash, TPC™, or TimePay™.
- Evidence and confidence on every quote — see why the price is what it is.
Connect your site. The LPM prices your inventory. Readers pay.
- Connect any site — articles, videos, podcasts, datasets. Set up in minutes.
- Every asset gets a live market price, set by real demand.
- Get paid in cash, TPC™, or TimePay™ — whichever your audience prefers.
- 14 trust factors and a confidence score on every quote — defensible to your team.
The missing layer.
For three decades the internet ran on a single pricing primitive: the impression — a probabilistic estimate that someone might click an ad. It was a proxy for value, not value itself.
When a model can produce ten million plausible articles an hour, the impression loses its scarcity, and its price. The proxy collapsed. At the same time, agents began transacting on behalf of humans — reading, summarizing, citing, reselling. Agents cannot negotiate bilaterally. They need a price they can quote, pay, and audit. They need a market.
LLMs are the engine of creation. The LPM is the engine of valuation. The world built one without the other for a decade.
The Large Pricing Model™ is the missing layer — an endogenous, evidence-based price for every piece of information, available to humans, to agents, and to the systems built on top of both.
And when demand sets the price, creators capture it. Every read, every citation, every summary — across the full lifecycle of the work, not just the launch hour. The goal isn't a truer price. There is no such thing. The goal is the price the market will pay, paid every time the market consumes the work.
Demand sets the price.
Creators capture the revenue.
Search the Index. Watch the Exchange. Connect your site. Read the methodology. Every price on this page is live — and pays a creator somewhere on the network.
Regulatory posture
ZZAZZ is a venue for pricing and exchanging digital information — not securities, derivatives, or financial instruments. The Large Pricing Model assigns market value to content; settlement is for content, not ownership in any company. ZZAZZ operates under applicable digital commerce, copyright, and content-licensing frameworks in every market we serve, and works with counsel to remain so as the rollout expands. Read our regulatory posture →
What is a piece
of information worth?
Ask the market. The Large Pricing Model watches every decision people make about content — every payment, every ad completed, every walk-away — and learns the answer in real time.
A breaking story at 9:01 AM
is not the same article at noon.
A breaking story has one price. By noon, three outlets have the same facts. The original retains priority but loses exclusivity. The next day it enters the archive. On day three, an event reignites demand. The price responds.
Value is not a line that decays to zero. It is a function of supply, demand, and time — and the function is non-monotonic.
The arc of a story.
Every piece of content has a price trajectory. Some peak in minutes. Some hold for years. The model learns the shape of the arc and the position on it.
A breaking story decays in hours. A research paper holds for decades, then surges when its findings get cited. The same model reads both arcs.
Every transaction repriced in less than a second.
One article, priced live. Each marker is a real-time trade — green for cash, navy for TPC™, amber for TimePay™. When the article is expensive, TimePay™ disappears — the market decides what currencies clear, not an editorial guess.
Two input domains.
One model.
The Large Pricing Model decomposes the problem into two halves. The content genome captures intrinsic properties of the piece itself. The market state captures everything external — demand, supply, decay, who's buying.
Format — Text, video, audio, image. Each has distinct consumption and decay characteristics.
Originality — First-mover, derivative, or rewrite. The premium is in the delta from what already exists.
Density — A 50-word headline and a 5,000-word investigation occupy different points on the value curve.
Provenance — Publisher track record, editorial standards, historical accuracy. Trust compounds.
Demand — Real-time consumption velocity. The signal is in the rate of change, not the level.
Decay — Breaking news depreciates faster than evergreen analysis. The half-life is observable.
Supply — Competitor coverage, substitutes, saturation. Price falls when information becomes redundant.
Consumer type — Human reader, AI agent, enterprise. Different access rights, different price lanes.
One shared encoder.
Three policy heads.
One shared encoder, three policy heads. Each head sees a different slice of the state tensor. QMV's policy sees only content and comparables — environment masked. QAP's policy sees the full tensor including user context. QAP++'s policy sees machine-consumption parameters. Same encoder weights, different input visibility, three prices. The spread between any execution price and the benchmark is always visible and auditable.
The benchmark. Intrinsic value of the content on the open market, computed from the content genome and comparable graph with environment context masked. Visible to everyone. Updated continuously. Free to observe.
Reference rate · auditedThe execution price for humans. Full state tensor — content, publisher, user context, environment. What a buyer pays in cash or earns through verified attention. Always comparable against QMV.
Bounded · live · settles transactionsThe machine price. Per-token metered access for AI agents — training, RAG, summarization, derivatives. Rights-aware. Audit-logged. Settles atomically. The bridge between the LPM and the LLM economy.
Per-token · rights-aware · atomicA walled instance of the same model. Same LPM, same accuracy, same settlement infrastructure. Content, prices, and transaction history are fully isolated — nothing links to the public exchange. The enterprise gets every capability without market exposure.
Different buyers.
Different price lanes.
A human reading on a phone, an AI agent training on a corpus, and an enterprise running its own walled exchange are not the same buyer. They have different rights, different access patterns, and different settlement instruments. The model prices each lane separately and audits all three against the same QMV benchmark.
Pay in cash, in tokens, or by completing a verified ad. The price adapts to demand and event proximity. The execution price always shows alongside the QMV benchmark — the spread is the story.
Per-token metered access. Training, RAG, summarization, derivative work — each priced according to use, with the right (or absence of right) recorded on every transaction. Atomic settlement, audit-logged.
A walled instance of the same model. Content, prices, and transaction history are isolated from the public exchange. Same accuracy, same trust factors, same settlement infrastructure — without market exposure.
One LPM. Three output heads. Every buyer reads the same benchmark and pays in their own lane.
A confidence score.
Fourteen trust factors.
Every quote ships with a receipt. Confidence — how sure the model is. Fourteen trust factors across three pillars — what moved the price, by how much, with what evidence. The reasoning is exposed, not the weights.
"Is this price normal?" Six factors. Benchmarks and ranges that anchor the price to comparable content, comparable categories, comparable events.
"Is this price dependable?" Five factors. Visible safeguards — recalibration cadence, computational depth, stability regime, sensitivity, data completeness.
"Why is this price what it is?" Three factors. Top drivers ranked, confidence reasoning, lifecycle position.
A glass box,
not a black box.
Every quote the Large Pricing Model produces ships with a receipt. Fourteen factors across three pillars. You don't trust the price because we ask you to. You trust the price because you can read it.
A price the world can audit.
Legacy ad pricing offers no benchmarks and no context — just a CPM and a hope. The trust framework is the opposite. Every quote comes with a transparent record of what went in, how it compares, what guardrails held, and what drove the price.
You don't trust the price because we ask you to. You trust the price because you can examine each signal that moved it, each guardrail that held it, and each piece of evidence behind it. The model produces the price and proves it. You read both.
Every quote is a transparent claim about value with a traceable logic. Visible guardrails, spike protection, and benchmark comparisons mean the system is governance-ready by construction. Trust is part of the asset, not a wrapper around it.
Every quote carries
its own audit trail.
Fourteen factors, organized into three questions a price has to answer. Together they are the receipt. Apart, each one tells you something specific the price is grounded in.
"Is this price normal?"
Benchmarks and ranges that anchor price to reality. Context-aware norms and market reference points. Improves price acceptance and conversion.
"Is this price dependable?"
Visible safeguards that prove the pricing is controlled. Evidence discipline, reasonability checks, anti-volatility posture. De-risks brand and enterprise adoption.
"Why is this price what it is?"
A price receipt that connects the number to drivers anyone can understand. Top influences surfaced, confidence reasoning, lifecycle position.
Comparability
"Is this price normal?"6 FACTORSBenchmarks and ranges that anchor the price to reality. Context-aware norms and market reference points. The factors here improve price acceptance — because the price is shown to be consistent with what similar things, in similar moments, have been worth.
How many semantically related pieces were used as reference. The user reads: "Based on 17,551 similar articles." The number itself is a credibility signal.
Average similarity of the comparables. Quality of evidence matters more than quantity. The model reports its own typical range here.
The price band derived from semantically similar content. Shows where this quote sits relative to comparable pieces — and makes pricing market-grounded.
Rolling median plus percentile bands for the content category. Shows whether the current price sits below, within, or above the normal range.
Same idea, but for content format. Explains why pieces on similar topics can price differently — format is intuitive and defensible.
Prices observed during comparable past events. Normalizes "unusual" moves. The user sees that this spike is consistent with prior events.
Reliability
"Is this price dependable?"5 FACTORSVisible safeguards that prove the pricing is controlled. Evidence discipline, reasonability checks, anti-volatility posture. The factors here de-risk brand trust and enterprise adoption.
Recalibration cadence — Ultra (under 1 second), High, Medium, Low. The user sees how live this price is, and whether it's been actively maintained.
Computational depth of the quote — how many neurons participated. The point isn't the number; it's that there's evidence the model worked, not guessed.
Regime classification: Stable, Medium, Volatile. Identifies whether the current pricing window is calm or turbulent for this asset.
How much would the price change if key inputs shifted? Demonstrates that price behavior is proportional and explainable, not knife-edge.
Percentage of expected signals present. When a signal is missing, confidence adjusts accordingly. The system never pretends it knows more than it does.
Explainability
"Why is this price what it is?"3 FACTORSA price receipt that connects the number to drivers anyone can understand. Top influences surfaced, confidence reasoning, pricing lifecycle. The pricing feels earned because the reasoning is visible.
The three to five biggest contributors to this specific quote, ranked. "Event proximity raised this by 38%. Category benchmark held it 12% below the daily peak. Publisher tier added 9%."
Why the model is sure or unsure. The score has its own short justification — high evidence and high stability, or low completeness and high volatility.
Where this quote sits on the asset's price performance curve. Hot, warm, long-tail. Approaching peak. Past peak and decaying. About to be revived.
What you see when
you click a quote.
An illustrative example. The actual receipt is interactive — every line is a link to the underlying evidence.
The publisher reads the price. So does the regulator. So does the buyer. So does anyone else on the market.
Whitepapers.
The intellectual record.
Technical publications, theoretical foundations, and the framework behind the Large Pricing Model and the ZZAZZ Exchange. Confidential papers available on request to qualified parties.
The technical deep dive.
The Large Pricing Model: Technical Deep Dive
The complete architecture. Three-stage pipeline. The four genomes. Initial price generation. CARL coordination across the comparable graph. Publisher policy registry. The 14 trust factors and how they're computed. Reflexivity treated as design.
FEBRUARY 2026 · CONFIDENTIAL · 14 PAGESWhy every price proves itself.
LPM Trust Framework
The three-pillar trust surface — Comparability, Reliability, Explainability. Fourteen independently verifiable trust factors, each described, each grounded in observable signals. The settlement-as-loss-function argument.
FEBRUARY 2026 · CONFIDENTIALTrust Factors: The Complete Reference
A factor-by-factor walkthrough. Each of the fourteen factors, what it measures, what signals feed it, how it appears on the receipt, and the economic reasoning behind its inclusion. Worked examples drawn from production.
FEBRUARY 2026 · CONFIDENTIALRead online. No request needed.
The Price of Knowledge: Information Economics in the LLM Era
Why information deflation is accelerating, what retains value, and how the LPM creates the first real market for digital content. Two-way information economy where humans and AI agents are both buyers and sellers.
FEBRUARY 2026 · PUBLICDOTS™: Digital Ownership Trust System
The CUSIP of content. How DOTS provides cryptographic identity, title, rights, and ticker for every digital asset — converting heterogeneous content into uniform, tradable instruments.
2026 · PUBLICTimePay: Time as Currency in the Information Economy
A practical paper on attention as a settlement instrument. How completed ad-time becomes a valid form of payment, how the LPM prices it, and why it equilibrates against cash and tokens at the moment of decision.
2026 · PUBLICConfidential papers,
available on request.
Full technical papers are shared with publishers, partners, investors, and qualified researchers. Contact us with a brief note on context and use, and we'll route the request.
Where information
trades.
Every story has a price. Every transaction is recorded. Every settlement is final. The information economy now has its trading floor.
A clearing venue for content.
The Exchange is where the LPM’s pricing meets actual settlement. Buyers — humans through the Index, AI agents through the Machine Economy Lane — pay live LPM prices. Sellers — publishers, creators, anyone with a content asset — receive proceeds in fiat. ZZAZZ acts as Central Clearing Party between every counterparty.
Like DTCC for equities and LCH for derivatives, the Exchange is the back office that makes the front office trustworthy. Every transaction is logged with timestamp, parties, content ID, price, payment method, and rights granted. Full audit trail. Settlement on Net-45 in fiat. Conversion risk borne by the exchange.
Every settlement, written down.
A snapshot of the public trade tape. Each row is a settled transaction — the time, the asset, the lane, the size, the price.
The market we are building.
A market needs a venue.
Equities have NYSE. Derivatives have CME. Oil has NYMEX. Information had nothing — every piece of content priced by guess, traded over the counter, settled bilaterally if at all. The Exchange replaces that with a single venue, a single clearing party, and a single rule: the LPM sets the price, the parties sign the trade, the CCP settles.
When information becomes a tradable, settled, audited asset class, everything downstream changes. Publishers earn from every interaction. Agents pay metered prices. Disputes resolve against a logged record. The economy of attention finally has a record.
Five steps.
Sub-second.
Discover. Price. Pay. Settle. Learn. Every transaction generates ground truth that makes the next price more accurate.
From discovery to ground truth in under a second.
Through the Index, search, any LLM via ZZAZZ Connect, any app via API, or the IPX Terminal. Every entry point lands on the same priced inventory.
The LPM computes a QAP quote in real time. Full trust factor panel visible to the buyer — confidence percentage, comparable count, demand signal, decay state, frequency tier.
Three lanes: fiat, TimePay (15–30 seconds of verified attention), or a mixture. The wallet equation governs eligibility:
The Central Clearing Party verifies payment, grants access, records the transaction with full metadata, and generates receipts. Atomic — the trade either settles fully or rolls back.
The transaction outcome — paid, walked away, partially completed — feeds back into the LPM as ground truth for policy optimization. Every settlement makes the next price more accurate.
Three ways to settle. One outcome to the seller.
Reader pays QAP in dollars. Settles instantly. Card, wallet, ACH. Most common for one-off premium reads.
Reader watches a verified ad, 15–30 seconds, for a TimePay credit converted at the floating FX rate. Same revenue to the seller as fiat.
Per-call, per-document, or per-token billing. Metered, audited, compliant. Settles continuously rather than waiting for Net-45.
The buyer chooses the lane. The seller receives the same revenue regardless. ZZAZZ takes the conversion risk.
What trades
on the Exchange.
Text. Video. Audio. Datasets. Anything wrapped in a DOTS instrument is tradable. Format-agnostic by construction.
Anything that can be authored.
News articles, investigations, research papers, white papers, blog posts, transcripts, technical documentation.
Clips, full-length features, live streams, event broadcasts, lectures, interviews. Live-stream lifecycle pricing supported.
Podcasts, music, recordings, audiobooks, sound design. Same DOTS instrument as text — different priced behavior.
Spreadsheets, structured data, statistics, market data, scientific datasets. Per-row or per-file licensing.
Photographs, illustrations, infographics, charts, generative art. Editorial or commercial rights granted at trade time.
Presentations, courses, multi-format packages, interactive content. Bundled DOTS instruments with composite pricing.
Price follows the asset.
A live concert streams at one price while it’s happening, then archives at a different price the moment the broadcast ends. A breaking news article peaks at 9:01 AM and decays by noon. A research paper holds steady for years and surges when its findings get cited. Every asset has its own arc; the LPM follows it.
Sellers can attach an asset to QMV (the benchmark), QAP (the execution price for humans), or QAP++ (the metered AI price). They can set price floors and ceilings if they want bounds. Most don’t — the market is the floor and the ceiling.
Anyone with a content asset.
Publishers list through DAP. Independent creators upload directly. Datasets get listed by the institutions that maintain them. Audio masters come from labels and rights holders. Anything generated inside an LLM via ZZAZZ Connect can be listed straight to the Exchange and priced by the LPM.
There is no listing fee. There is no editorial gate. There is no priority placement for sale. The LPM prices the asset; the market values it; the trade either clears or doesn’t. The Exchange is open by construction.
Settlement.
Net-45. Audited.
ZZAZZ acts as Central Clearing Party between every counterparty. The familiar model from DTCC and LCH — applied to information.
Flat. Predictable. Inclusive.
Paid in fiat regardless of what lane the buyer used. Same revenue from a fiat reader, a TimePay watcher, or an AI agent. ZZAZZ takes the conversion risk.
Pricing, settlement, dispute resolution, fraud, audit — all included. Deducted at settlement. Visible on every transaction record.
A familiar model. Applied to information.
In equities, the DTCC sits between every buyer and seller — when you buy a share, you actually buy from the CCP, and the CCP buys from the seller. In derivatives, LCH plays the same role. The CCP guarantees settlement, manages counterparty risk, and reduces the operational complexity of bilateral trading by orders of magnitude.
ZZAZZ does the same for information. Every transaction routes through the exchange’s CCP. Buyers receive content. Sellers receive cash. Disputes resolve against a logged record. The model is well-understood — what is new is the asset class.
Every transaction. Every detail.
timestamp 2026-04-28T14:23:42.118Z
trade_id ZX-2026-7142891
parties [buyer:CCP, seller:reuters.com, agent:CCP]
content_id DOTS-9418-bear-stearns-2008
price $4.82 USD · QAP @ confidence 92%
payment_method FIAT · card-verified
rights READ · 1× · non-transferable · 24h-window
settlement Net-45 · fiat · pending
audit_hash 0x7a4f...3e8c
Sellers see the full ledger for their content. Auditors see whatever they are authorized to. Counterparties see their own side. The record is canonical — bilateral disputes resolve against it.
Settle once. Receive once.
A publisher selling thousands of articles per hour does not receive thousands of separate wire transfers. Settlement obligations are aggregated and netted across the period — reducing operational overhead for everyone, lowering wire costs, and producing one consolidated payment with one consolidated reconciliation. Standard practice in clearing.
The trade tape is per-transaction. The settlement is netted. The audit trail covers both.
Every story.
Every Index.
ZZAZZ continuously prices every piece of content on the open web. When many stories cover the same topic or event, the LPM mints them into an Index — a single basket, a single price.
A live market for the world's content.
The base layer is every story. Continuously repriced as the world reads, ignores, links, and forgets. The archive reaches back to 2001 and is fully searchable.
The aggregation layer is the Index. When the LPM detects a coherent set of stories — same event, same topic, multiple publishers, sustained attention — it mints them into a single basket. Like the S&P 500, but for ideas.
Categories — Politics, Defence, Economy, Science & Technology — group Indexes. Indexes contain content items. Every layer is priced. Every layer is live.
The Terminal.
Live now, priced now. Categories along the top. Trending Indexes on a continuous ticker. Every item below is a real piece of content with a live valuation.
Click any item in the Terminal to see its Price Performance Curve and the Indexes it belongs to.
What makes an Index.
Only the LPM mints Indexes — never users, never editors. The model watches the open feed and applies five rules. When all five clear, an Index is born and goes live.
A minimum threshold of distinct stories must cover the topic before an Index can form.
Stories must come from many independent publishers. No single source can carry an Index.
Semantic concentration must clear a bar — the stories must be talking about the same thing, not loosely related.
The LPM's confidence in each member's price must exceed a threshold. Low-confidence content is excluded.
Event Indices live 72 hours. Topic Indices live 90 days. Past the window, Indexes close and become historical.
An Index is born, lives, and closes. Its price is the equal-weighted QMV of its members, rebalanced continuously as content is added, removed, or repriced.
The scale of the open web.
The Index is what makes ZZAZZ the benchmark.
Free. Open. The reference rate for the information economy. The Index does for content what LIBOR did for lending and the Standard Barrel did for oil — it makes the value of a single unit common knowledge, then composes those units into baskets that the market can read at a glance.
Once you are the benchmark, you are the benchmark.
The price of a story.
For the first time.
QMV is the Quantitative Market Value for a single piece of content, computed continuously by the Large Pricing Model.
What is a piece of information worth?
For three centuries, content has had two prices. Zero, paid for by advertising. Or paywalled.
The real question stayed unanswered: what is this specific piece of information worth, right now?
Newspapers never answered it. Cable never answered it. Thirty years of internet, still unanswered.
The Large Pricing Model has the answer. Every piece of content — text, image, audio, video, across 200+ languages. Every second.
That answer is QMV. Quantitative Market Value. The market value of a single piece of content, computed continuously by the model.
A measured price. Recalculated continuously.
Quantitative means measured. The price is a number the model computes — and recomputes the moment anything changes.
Three lenses on the same idea.
The LPM runs inference every cycle. Like a language model predicts the next word, the LPM predicts the next price. Same idea, different output.
A price is a signal that moves over time. Fast-moving signals get measured more often. Slow-moving signals get measured less often. The model sets the rate.
A market price comes from supply, demand, comparable assets, time, and trust. The LPM tracks all five, every second, against every actual trade.
The QMV from one moment is a different number than the next. By design.
QMV is the benchmark.
QAP is the quote.
The LPM produces two prices. One is the public reference. The other is what someone actually pays.
QMV — Quantitative Market Value. The benchmark. The fair value of a piece of content under standard conditions. Public, free, auditable. Lives on the Index.
QAP — Quantitative Adaptive Price. The quote. QAP starts from QMV and adjusts for live market conditions — high demand, the buyer, the moment. Lives on the Exchange.
Every priced asset has both. Stocks have NAV and bid-ask. Oil has spot and contract. Bonds have par and yield. One number to anchor value, one number to trade.
Content needed both. The LPM produces both.
This page is about QMV. The benchmark. The reference behind every Index, every audit, every claim about what content is worth.
Four signals. One price.
QMV is computed by the LPM. An editor never sets it. A publisher never sets it.
Content goes in. A benchmark price comes out. Four components feed every number.
What the content is. Topic, format, length, tone, factual density, originality, language, reading level — and many more. The model extracts every attribute on its own, from text, image, audio, and video. Weights are learned, never set by a human.
Who published it. Site quality, editorial track record, author credibility, audience profile, engagement — and many more. The model rates each publisher continuously. Weights update on their own, without human intervention.
Who is reading, sharing, citing, ignoring. Right now. Demand is computed in real time across the open web. The model prices a surprise the second it surprises.
How credible the content is. Source verification, factual alignment, citation provenance, AI-generation signals, manipulation flags. Each factor is weighted by the model itself, without human intervention. The model decides what to trust. That is what makes it trustworthy.
A continuously trained model. Every component exposed. Every weight learned.
Tested against real markets.
The LPM has been in production for over two and a half years. Every interaction with a priced piece of content is a labeled signal — a reader accepting the price, or walking away.
Across that volume, the four components above acquired their weights. Not by hand. By learning what the market actually pays.
The market trained the model. The model now reflects the market.
Worth changes when the world changes.
A price is never flat.
A breaking story is most valuable in the minutes after it breaks. A song peaks on release, fades for years, rises again when culture rediscovers it. A research paper sits quiet for a decade, then jumps the day a Nobel lecture cites it.
QMV captures all three patterns. Every piece of content. Every second.
Every story has its own clock.
A stock exchange has one clock. Every ticker quotes at the same speed.
Content works differently. A breaking story changes by the second. A reference paper changes by the month. They cannot run on the same clock.
QMV is recalculated at a rate matched to each piece of content. The model forecasts how volatile the price will be, then sets the rate. Four tiers cover the range.
The model picks the tier. Sports and Politics run faster. History and Editorial run slower. Daily News runs faster than Press Releases. Early content runs faster than mature content.
A piece can move between tiers. Breaking news starts at ULTRA, drops through HIGH and MEDIUM, settles at LOW within twelve hours. A long-form feature might sit at MEDIUM the whole time. An archive piece lives at LOW for years until a related event lifts it back to HIGH.
Compute where it matters. Conserve where it doesn't.
Every QMV shows how sure the model is.
QMV ships with a confidence score. The model's own measure of how reliable that specific number is.
Three bands. Read at a glance.
Confidence sits next to every QMV in the Index and on the Exchange. As a colored bar. Same screen, same data block, every time.
The model declares its uncertainty.
Built on 14 trust factors.
Confidence is a composite. Built from 14 independent measurements the model takes on every price.
Three pillars. Each answers a different question.
- 01Similar Articles Count
- 02Similar Articles Quality
- 03Similar Articles Benchmark
- 04Category Benchmark
- 05Format Benchmark
- 06Similar Event Benchmark
- 07Frequency
- 08Activation Maps
- 09Stability
- 10Sensitivity
- 11Data Completeness
- 12Confidence + Explanation
- 13Event Impact Meter
- 14Time Decay
Four factors feed the score directly.
The composite confidence number draws from four of the fourteen factors. The other ten are exposed for full audit, every time.
All four inputs come from Pillars 1 and 2. Pillar 3 contains Confidence itself — so it explains the price, but cannot feed into its own score.
Every confidence score ships with a plain-language reason. The model says why.
Decomposability is the mechanism of trust. A number you can verify is worth more than a number that asks to be believed.
Every QMV shows its work.
A QMV is structured. Click into any one to see the price, the demand, the interest, the confidence, the frequency tier, and the full price history. All in one view.
No black box. The reasoning is part of the product.
Anyone can check it. A journalist. A researcher. An AI lab. A regulator.
That is what makes QMV the benchmark — the public reference value behind every Index, every audit, and every QAP quote on the Exchange.
QMV is the unit. Now multiply it.
CONTINUE TO THE REFERENCE LAYER →The reference rate.
For information.
The Index is the public record of every story on the open web, priced live by the Large Pricing Model. Free. Open. Archived since 2001.
A public price feed for content.
Every priced asset has a public price feed. The number anyone can look up.
Commodities have Reuters. Equities have the exchanges. Bonds have TRACE. Currencies have the interbank feed. Information lacked the equivalent.
The Index is that feed. Free to read. Open to anyone. Continuously priced. Archived to 2001.
This is the proof layer. Every QMV the model produces. Every QAP quote on the Exchange. Every Index. Anyone can audit on the public feed. The Index is free for that exact reason — the credibility of the priced market depends on the price record being open.
Every story. Priced. Now.
Categories along the top. Trending Indexes on the ticker. Below: every item is a real piece of content from the open web, priced continuously.
Click any row to see the price history, the trust factors, and every Index the story belongs to.
Free to view. Read without signing up.
Every priced asset gets a public feed.
A market only becomes a market once value becomes visible. Each priced asset on Earth has a recorded moment when this happened.
Information's moment is now.
A priced asset class without a public feed is a market without a price — only quotes between counterparties who know each other. The feed is what makes it a market.
Earned.
Not claimed.
The Large Pricing Model has been live in production for over two and a half years. Every day, billions of price interactions across the network — each one a signal: a reader accepting a priced piece of content, or choosing to walk away.
The model treats every click as an acceptance vote, every refusal as a rejection. Across that volume, the LPM learns what content is worth — not from theory, but from real human price behavior, observed at scale, continuously.
second
This is what the Index is built on. A model that has watched billions of real price decisions is grounded in market behavior. A model that hasn't is guessing.
Every priced market needs a calibration source. Equities have trades. Commodities have shipments. The Index has years of human acceptance data.
Twenty-five years of priced content.
The model has been live for two and a half years — but it has priced every story it can find back to 2001. Retroactively. The Index covers a quarter-century of content.
A 2003 article about the dot-com aftermath, a 2008 piece on the financial crisis, a 2020 dispatch from the early pandemic — the Index can show what each was worth on the day, and how the price moved in the weeks and years after.
Twenty-five years of historical content, all priced. The depth is the moat.
The Index is to read.
The Exchange is to trade.
The Index is the public record. Every QMV the model produces. Free to view, audit, and reference.
The Exchange is the marketplace. Where buyers and sellers trade at QAP quotes.
Both run on the same LPM. Same model. Two different jobs.
An Index price you can audit. An Exchange quote you can trade.
The Index makes the Exchange honest. The Exchange makes the Index useful.
The new benchmark.
For information.
LIBOR did this for lending. The Standard Barrel did this for oil. The Index does it for content.
Free. Open. Continuously priced. Archived to 2001.
The benchmark for the information economy.
Open to anyone, anywhere. Read without signing up.
Continuously priced. Every story reprices the moment its signal moves.
Twenty-five years of historical pricing. Every story, every era, fully searchable.
The benchmark is set. Now — how an Index is born.
CONTINUE TO ANATOMY OF AN INDEX →A basket of stories.
Priced as one.
When the LPM finds a coherent group of stories — same event, same topic, many publishers, sustained attention — it gathers them into an Index.
An Index is priced as the equal-weighted QMV of its members. As stories join or leave, as their prices move, the Index price moves with them. Continuously rebalanced. Always live.
An Index anchors to an event,
or a topic. Nothing else.
A person is not an Index. A company is not an Index. An institution is not an Index. The anchor is always a coherent subject — an event that happened, or a topic that persists.
An Event Index forms when at least 25 stories from 15+ publishers cover the same occurrence in 72 hours. Sharp rise. Sharp fall. Closes when the cycle ends.
A Topic Index forms around a coherent theme with at least 50 stories from 15+ publishers, sustained over a rolling 90-day window. Updates as content enters and ages out.
Names are not anchors. "Apple" is not an Index. "Apple Q2 Earnings" is. The anchor is a subject, never an entity.
Five rules.
All five must clear.
The model watches the open feed. When a coherent basket is emerging, all five rules are tested. If every rule clears, the Index is born and goes live.
A minimum number of distinct stories must cover the subject before an Index can form.
Stories must come from many independent publishers. A single source cannot carry an Index.
Subject coherence must clear a threshold. Stories must be talking about the same thing, not loosely related.
Each member's QMV confidence must clear a threshold. Low-confidence content is excluded from the basket.
Event Indexes live 72 hours. Topic Indexes live 90 days. Past the window, the Index closes.
Editors don't decide. The model does. Every rule is a measurement, not an opinion.
Born. Live.
Closed.
Every Index has a life. The five rules let it form. It updates continuously while it lives. When the window closes, it becomes historical — archived, still readable, but the price stops updating.
A closed Index is not deleted. The history is permanent. New coverage on the same subject can spawn a new Index.
Indexes are model-curated.
Baskets are user-curated.
Anyone can also build a personal Basket — a private collection of stories you choose. Baskets are different from Indexes. The label is mandatory.
A Basket is never an Index. The label is non-negotiable — provenance always shows whose collection it is.
Read freely.
Click to act.
The Index is free to view. Every story. Every QMV. Every Index. Open to anyone.
To act on a story, use the ··· menu next to it. Four actions. Three free, one priced. Plus, build your own Baskets.
Browse Indexes. Click any item to see its full QMV detail — price, confidence, demand, frequency, history. Free.
The ··· menu has four actions: invite a publisher, check factual alignment, find similar on the Exchange, set a price alert.
Build a Basket — a personal collection of stories you choose. Always labeled "User Basket". Always your own.
Reading is always free. Acting requires an account.
Four actions.
One menu.
Every story on the Index has a ··· menu beside it. Open it for these four actions.
Send a one-click invitation to bring this story's publisher onto the Exchange. Free. The publisher decides whether to join.
Run the story through the LPM's factual-alignment checks. See where it agrees with corroborating sources, and where it diverges. Priced in TPC.
Find related content available on the Exchange — same topic, similar comparables. Free to discover.
Get notified when this story's QMV crosses a threshold you set. Useful for tracking news cycles, citations, and stories that resurface. Free.
Three actions are free. Factual Alignment is priced in TPC because it runs LPM compute against external sources.
Your own collection.
Always labeled.
A Basket is a personal collection of stories you assemble yourself. Useful for tracking a research thread, a market segment, a portfolio you care about — whatever you choose.
A Basket is yours. It is not an Index. The label is permanent.
The orange "USER BASKET" tag is mandatory and cannot be removed. Provenance always shows whose collection it is.
Free to read.
Sign up to act.
Reading is free for everyone. Always.
Acting requires an account. Some actions are free with signup. Some carry a TPC cost. Signup gates the actions, never the information.
The principle: signup gates actions, never information. The benchmark stays public.
TPC actions consume LPM compute against external sources, or save persistent things for you. Free actions are notifications and routing.
Your content has a price.
Now the world can see it.
DAP turns every article on your site into a priced asset. One script tag, live in minutes, no license fee. You earn 80% on every transaction.
A live market price on every page.
Sign up. Add one script tag. Every piece of content on your site gets a live, market-discovered price — computed by the LPM, updated continuously, displayed however you want. Free, from Day 1. Up to five domains per account.
Readers see the price next to your article. They pay it — in cash, in verified attention via TimePay, or as part of an AI-agent transaction. The exchange settles. You receive your share.
A price layer the internet never had.
For three decades the digital content business has run on a model that prices the audience, not the content. An ad auction sets the value of an impression based on who is looking, not on what the article is worth. Subscriptions cover costs by averaging across everyone who pays — the breaking story, the throwaway listicle, and the four-month investigation all priced identically. There has never been a per-article market price.
That model is now structurally collapsing. Search referral is moving to AI-summarised answers; the readers who funded the advertising auction no longer arrive at the page. Free sources fill with AI-generated noise that degrades the auction further. Subscriptions consolidate around a few large publishers because per-article alternatives don’t exist. Each force makes the next one worse.
DAP is the missing layer. A real, market-discovered price on every page, from the moment the script tag goes live.
The system itself is the problem — not any single publisher’s strategy, not any one platform’s policy. The fix is not inside the model. The fix is a new layer.
Same article. Same readers.
A different ledger.
A typical mid-sized publisher today earns roughly $25 per thousand article views from advertising and subscription rev-share combined. The same thousand views, run through DAP, generate revenues an order of magnitude higher because each view is monetised at the article’s market price — not at a flat ad-impression rate, and not amortised across an undifferentiated subscription bundle.
The shift is not an optimisation. It is a re-pricing. Three economic effects compound: per-article cash purchases set a real upper bound, TimePay completions monetise the readers who would otherwise bounce, and the Machine Economy Lane charges AI agents that currently take content for free. A single article that ran free yesterday earns from three flows simultaneously today.
Set by the LPM. Updated continuously. Visible to every party in the trade.
Cash, TimePay, and Machine Economy. Each settles 80% to the publisher.
Reporting is unified. Reconciliation is automatic. Settlement is fiat.
The publisher does not need to sell harder. The publisher does not need to acquire new readers. Same article, same readers, a fundamentally different ledger.
Four converging shifts.
One window.
The reason this didn’t exist five years ago is that none of its components did. The reason it has to exist now is that all four arrived at the same time.
The only question is which layer becomes the default. That question is decided in the next eighteen to thirty-six months.
Free to install. Free to keep. You only pay when you earn.
Every human transaction settles 80% to you. Fiat or TimePay, doesn’t matter — same revenue. ZZAZZ takes the conversion risk.
A flat clearing fee on every human transaction. Pricing, settlement, dispute resolution, fraud, audit — all included.
Settlement is fiat. Net-45. Full transaction logs for audit. AI Agent transactions on the Machine Economy Lane settle on a separate metered schedule.
The shape of the deal.
Live in minutes.
Three steps. One script tag. Up to five domains. The LPM does the rest.
One script tag.
Every article on your site, priced.
DAP runs on your site, not somewhere else. The moment the script tag goes live, the Large Pricing Model begins computing a real, market-discovered price for every piece of content on your domain — the article published this morning, the archive going back as far as the site does, every page in between.
Your readers see the price. They pay it — cash, TimePay, or move on. AI agents licensing on the Machine Economy Lane settle separately. You receive fiat on Net-45.
Nothing else on your site changes. The script does one job: it brings the LPM to every page you publish.
From signup to live in four steps.
Load DNS configuration. Verify ownership through enterprise-grade authentication. Up to five domains under one account.
One tag in your site header. The LPM begins pricing every existing piece of content automatically — the back catalog included.
Attach content to QMV, QAP, or QAP++ depending on the lane you want. Set price floors and ceilings if you need them. Defaults work for most publishers.
Readers see prices. They pay fair value or watch a verified ad through TimePay. You earn on every interaction. Settlement begins immediately.
One async tag. Public metadata only.
CMS-agnostic.
The script reads what is already exposed in your page’s HTML head — title, category, publication date, public engagement signals. Nothing private. Nothing personal. Nothing the publisher does not already make public.
Every page on your domain. Up to five domains under one account. The script prices what you publish next and the entire archive behind it.
One async script in the header. Renders post-paint. CMS-agnostic. Compatible with WordPress, Ghost, Substack, Webflow, and custom stacks.
Server-side integration available for publishers who want the LPM to compute pricing inside their own stack. Same prices, lower client weight.
The script reads what is already public.
Nothing else.
Subscriber records are not touched. Comment systems are not touched. Authentication systems are not touched. Reader cookies are not used for cross-site tracking.
Privacy is a structural property, not a setting. There is no admin panel where a future operator could decide to start collecting reader PII. The script doesn’t have the surface area to do it.
The architecture cannot read what it does not have access to. That is the design constraint. We built against it on purpose.
Off in one line. No commitment. No lock-in.
Remove the tag. DAP stops. Settlement of accumulated revenue continues to clear on the existing Net-45 schedule. There is no contract minimum, no termination fee, no migration cost.
The integration is deliberately reversible because the product has to keep earning the placement on its own merits. A publisher who wants to leave should be able to leave in seconds. That constraint is what we built against.
A focused tool. Not enterprise software.
A major publisher told us: no more than three people will ever manage prices and revenue on a site. DAP is built for those three. Clear dashboard. Per-article view. Cross-site analytics. Export when you need it.
Or skip the dashboard entirely. Manage every domain you operate from inside any LLM through ZZAZZ Connect. An editor adjusting price floors from Claude. A finance team checking earnings from Gemini. No interface to learn — just talk to it.
Every article.
Every metric.
Per-article pricing, demand, interest, unlocks, revenue, confidence. Filter by date, location, category. See exactly what is earning and why.
Six numbers per article.
QMV / QAP / QAP++ in real time. Min, max, current, trailing average.
How often readers and agents reach the article. Volume by channel.
The market signal. Rising, stable, decaying. The LPM’s read on appetite.
Engagement velocity. Time on page, depth, return visits.
Successful transactions. Fiat, TimePay, agent — broken out by channel.
Cleared revenue against the publisher benchmark. How this article ranks on your site and across the network.
Control on one side.
Live on the other.
The dashboard on the left is what the publisher sees. The article on the right is what the reader sees. Toggle a switch on the left and the price tag on the right responds in real time — one ledger, two surfaces.
Dashboard.
Control every article on every domain.
Live on your site.
The LPM’s price, on every article.
Nanotechnology Innovations Disrupt Maritime Shipping
A new generation of molecular coatings is reshaping how cargo vessels move through saltwater — cutting drag, emissions, and maintenance cycles in ways that…
Five sites. One ledger.
Each domain in your account is independent — independent Signal toggles, independent pricing rules, independent settlement. They share a single dashboard so you can compare across them.
A sports vertical and a politics vertical can be compared on the same axes — average article price, TimePay completion rate, Machine Economy Lane revenue, archive depth. The data structure is uniform; the editorial categories are not. You see them side by side because that is where the operating decisions actually happen.
Date. Location. Category.
Filter by date range, by reader location, by content category. Switch between domains. The dashboard is the same surface across every account size — the smallest blog and the largest publisher see identical controls.
Per-article overrides sit on top of domain-level defaults. A breaking story can have a custom floor for the first 48 hours. An evergreen explainer can have a different decay curve. Rules are simple. Defaults are sensible. Overrides are explicit.
ZZAZZ Connect.
The dashboard is optional.
Adjust price floors from Claude. Pull a revenue report from ChatGPT. Change the lane on a piece of content from Gemini. ZZAZZ Connect exposes every dashboard action through MCP — read access, write access, configuration. The LLM is a full DAP client, not a chat surface bolted on top.
Read access. Write access. Configuration. The publisher chooses the interface — some teams use the dashboard, some use natural language inside the model they already pay for, some use both on different days.
Send everything to your own systems.
Every metric, every transaction, every settlement is exportable. CSV, JSON, S3-bucket sync, direct connectors for the common warehouse formats. The dashboard is a view, not a vault — your data is yours, and DAP doesn’t pretend otherwise.
A finance team that wants to reconcile DAP earnings against the general ledger does it in their warehouse, not ours. A growth team that wants to model revenue impact runs it in their notebook, not ours. Read access lives where the publisher already keeps their books.
The live market
reading.
The Signal is a live, market-derived price tag for every piece of content on your site. Powered by the LPM. Discovered by the market. Yours to display.
Not a guess. Not a label. A price.
The Signal computes a real-time price for every piece of content — not one you set, not one a platform assigns, but one the market discovers based on demand, context, timing, quality, and fourteen independently verifiable trust factors.
It is a continuously updating reflection of what the information economy says your content is worth, right now. The Signal can move every second. It moves when something happens.
Content becomes a priced asset.
Without a price, all content looks the same. A $4.82 investigation sits next to a $0.08 listicle and no one can tell the difference. The Signal makes that difference visible — a clear, market-driven measure of the value you produce.
When your audience can see what the market thinks, trust compounds. Quality gets rewarded. Listicles look like listicles. Investigations look like investigations. And you earn on every transaction automatically — the price was never abstract.
One tag. Every aesthetic. Every language.
The Signal does not ship a design system. It ships a price. The publisher styles the surface, the LPM prices the content, and the same tag lands cleanly on a Bloomberg terminal, a Sunday broadsheet, a long-form video, a Japanese morning paper, and a French weekly — without fighting any of them.
Maritime Coatings Cut Drag, Reset Shipping Math
Eighteen months of fleet trials suggest molecular surface technology is no longer an experimental line item but a structural variable in marine economics.
Cargo operators are quietly rewriting their fuel models after a third independent fleet reported sustained drag reductions in the high single digits, a figure that compounds quickly across thousand-mile routes.
The coatings, applied during routine drydock, alter how the hull interacts with seawater at the molecular scale. Engineers describe the effect as the ship "forgetting" most of the friction it would otherwise carry.
Insurance underwriters have begun adjusting maintenance assumptions, and at least two shipbuilders are rewriting their reference specs around the technology rather than treating it as an aftermarket option.
Nanotech coatings reset drag math; eight-percent fleet savings reported
Three commercial fleets report sustained reductions across eighteen-month trial — insurers and shipbuilders quietly recalibrating reference specs.
AI margins are about to compress — and what survives the squeeze
分子コーティング、船舶燃費を約8%改善
三社の商用船隊で18か月にわたる海上試験を実施。摩擦と整備サイクルの双方で構造的な改善が確認された。
大型貨物船の運航各社は、これまで実験的とされてきた分子レベルのコーティング技術を、航海経済の構造変数として再定義し始めている。
定期ドック入りの際に施されるこの処理は、船体と海水との相互作用を分子スケールで変化させる。技術者はこの効果を、船が摩擦の大半を「忘れる」状態だと説明する。
保険会社は整備前提を見直し、少なくとも二社の造船所が、後付けではなく標準仕様としてこの技術を組み込む方向で設計指針を改訂している。
Les revêtements moléculaires redéfinissent l’économie maritime
Dix-huit mois d’essais en mer sur trois flottes commerciales suggèrent un déplacement structurel des hypothèses d’ingénierie marine.
Les opérateurs de fret réécrivent discrètement leurs modèles de carburant après qu’une troisième flotte indépendante a fait état d’une réduction soutenue de la traînée — un chiffre qui se compose rapidement sur les routes de mille milles.
Les revêtements, appliqués lors des passages au bassin, modifient la manière dont la coque interagit avec l’eau de mer à l’échelle moléculaire. Les ingénieurs décrivent le navire comme « oubliant » la majeure partie de la friction.
City authority orders structural audit of 14 premium towers after monsoon damage reports
Petition before high court next week could pause new construction across the western suburbs corridor.
Officials confirmed late Tuesday that fourteen high-rises in the western suburbs would face independent engineering review after assessments flagged concerns following last month’s heavy rain. The order applies to towers completed within the past five years and may extend to twenty-three additional sites pending appeal.
Markup vote on the spectrum bill expected before midnight; three holdouts named
Three sovereign-wealth funds quietly increased their stakes in continental infrastructure bonds
The takeaway. Norway, Singapore and Abu Dhabi each added to existing positions in the same three quarters — roughly €18 billion combined, across rail, fibre and power-grid issuers.
Watch next. Whether the GIC and CDPQ allocation reports, both due this week, confirm the pattern.
An asset manager, a futurist, and a regulator walk into a hearing room
A live recording from Senate Banking on the Stable-Coin Reform Act — with three guests who almost never share a stage.
Tarifrunde Metall: Streiks in vier Bundesländern angekündigt
Gewerkschaft IG fordert 7,2 Prozent — Arbeitgeberverband warnt vor strukturellen Folgen für den Mittelstand.
Berlin — Die IG Metall hat am Dienstagabend einen koordinierten Streikaufruf für Werke in Baden-Württemberg, Nordrhein-Westfalen, Hessen und Bayern beschlossen. Betroffen sind nach Angaben der Gewerkschaft rund 84.000 Beschäftigte in 162 Standorten der Metall- und Elektroindustrie.
Der Arbeitgeberverband Gesamtmetall rief am Mittwochmorgen zu erneuten Verhandlungen vor dem Wochenende auf. Die Tarifkommission hatte zuvor mit großer Mehrheit gegen das jüngste Angebot von 4,1 Prozent gestimmt — der DAX-Industrieindex schloss am Mittwoch 0,4 Prozent im Minus.
The same Signal renders into the host’s typography, color, and layout — not against it. Ten deployments shown above — broadsheet, terminal, long-form video, Japanese serif, French weekly, metro daily, live broadcast, minimal briefing, podcast, and German wirtschaft. Currency localizes. The math does not.
Fourteen trust factors.
Every Signal. Every page.
The Signal is not a single number falling out of a black box. It is the output of a computation that scores every piece of content against fourteen verifiable trust factors — provenance, authorship, source citation, factual density, recency, peer engagement, reader return rate, and seven others. Each factor is auditable. Each contributes to the final price.
The Content Genome — a 32-attribute structural fingerprint computed at ingest time — feeds the trust scoring. An article that fails the basic checks (clickbait pattern, low source density, automated-generation markers) does not receive a Signal that clears the market. Quality is a property of the price, not a control panel sitting outside it.
Nanotechnology Innovations Disrupt Maritime Shipping
A new generation of molecular coatings is reshaping how cargo vessels move through saltwater — cutting drag, emissions, and maintenance cycles in ways that…
The findings, drawn from eighteen months of sea trials across three commercial fleets, suggest a structural shift in marine engineering economics…
Not a setting.
A property of the price.
The current advertising auction places brands next to misinformation by default because the auction has no quality signal. TimePay’s bid mechanism uses the LPM’s content score directly — an article that fails the trust checks does not receive a TimePay bid.
Not because anyone added a brand-safety layer on top, but because the bid cannot clear. The advertiser does not need to maintain a deny list. The publisher does not need to opt every article in or out. The bid mechanism enforces quality structurally.
Show it. Hide it. Match your brand.
You choose whether to display the Signal at all. Configure its style to match your brand — typography, color, position. Show it as a price tag, an unobtrusive line of mono caps, or hide it entirely and let the LPM compute silently while only the unlock buttons render.
Single script tag. Zero subscription. Zero setup cost. The display is configurable from the dashboard or from any LLM through ZZAZZ Connect.
Earn on every
interaction.
ZZAZZ acts as Central Clearing Party. Three earnings lanes. One settlement schedule. You receive fiat — the exchange takes the conversion risk.
Three lanes. Same revenue.
Reader pays QAP in cash. You receive 80% of the transaction. Settled in fiat on Net-45.
Reader watches a verified ad. Same revenue as fiat. ZZAZZ bears the conversion risk — you receive your share in cash regardless.
Machine Economy Lane. Per-call, per-document, or per-token. Automatic micro-fee settlement. Metered, audited.
Reader. Clearing. Publisher.
In one frame.
Every Signal that clears the market settles through ZZAZZ acting as Central Clearing Party. Eighty percent flows to the publisher. Twenty percent stays with ZZAZZ to operate the exchange. Both sides see the same line. Both sides can audit it.
Nanotechnology Innovations Disrupt Maritime Shipping
A new generation of molecular coatings is reshaping how cargo vessels move through saltwater — cutting drag, emissions, and maintenance cycles…
The findings, drawn from eighteen months of sea trials across three commercial fleets, suggest a structural shift…
CLEARING PARTY
Reader pays. ZZAZZ clears. Publisher receives. The arithmetic is fixed and visible to both sides at the moment of settlement — no opaque revenue share, no per-publisher negotiated rate. Eighty–twenty, applied to every Signal, on every site, every time.
Cash readers. TimePay readers. AI agents.
Each lane corresponds to a different buyer class with different economics. Cash readers pay the article’s market price directly — high-margin, lower volume, often arriving on premium content. TimePay readers pay with verified attention — they watch a contextual ad supplied by the network, ZZAZZ pays the publisher the same revenue, the advertiser pays for the verified completion.
The AI Agent class licenses content programmatically through the Machine Economy Lane, paying per-call, per-document, or per-token rates set by the LPM. Three buyer classes. Three different price discovery mechanisms. The publisher receives the same 80% share regardless of which lane the buyer came through.
The publisher does not maintain three different bookkeeping systems. The cash, TimePay, and Machine Economy Lane revenues all post to the same ledger. Reporting is unified. Reconciliation is automatic. Settlement is fiat — no crypto, no tokens that need to be sold, no wallets the publisher must manage.
A paywall hides.
PayWindow measures.
A wall optimises for one moment of decision. A sensor optimises for the system over time. The publisher running a sensor learns continuously what their content is worth. The publisher running a wall is still guessing.
One ledger. One settlement. One audit trail.
ZZAZZ acts as Central Clearing Party for every DAP transaction. The reader does not pay the publisher directly; the agent does not pay the publisher directly. Both parties pay ZZAZZ. ZZAZZ records the trade, computes the splits, holds the funds, and settles to the publisher on a recognised cycle. The publisher’s counterparty is always the CCP — never an unknown reader, never a foreign agent.
This is the architecture used by every regulated market that handles money at scale. Equities clear through DTCC. Derivatives clear through LCH. Card payments clear through Visa. Information now clears through ZZAZZ.
Net-45. Fiat. Audited.
Accumulated revenues settle in fiat on a Net-45 schedule. The 20% clearing fee is deducted at settlement — you see exactly what came in, exactly what was retained, exactly what you receive. Full transaction logs available for audit. Every transaction tagged with timestamp, content ID, price, payment method, and rights granted.
AI Agent transactions on the Machine Economy Lane settle on a separate metered schedule rather than waiting for Net-45. The flow runs continuously and your dashboard reflects every settlement live.
The shape of the deal.
“Information is the lifeblood of civilization. Pricing it — fairly, instantly, universally — is how we align AI with humanity, reward the people who create knowledge, and build an economy worthy of what comes next.”
A small,
technical team.
Roughly forty people — machine-learning researchers, market designers, and engineers. The team works on-site, with a primary research office and three smaller hubs.
Author of the pricing methodology, the four-layer stack, the trust framework, and the market vision. The connecting thread from the original edge-cutting insight to the modern POMDP architecture to the CARL deployment model.
Kravis Professor at Columbia Business School. Research in sequential decision-making, dynamic pricing, and applied probability. Leads ZZAZZ Research; works with Poreh on the mathematics behind the LPM.
ZZAZZ, Inc.
Scientists and AI researchers.
On-site.
We’re building the Large Pricing Model — a reinforcement-learning engine that computes the market value of every piece of content on earth. The work is research-grade machine learning, economic AI, market design, and applied probability. On-site, in San Francisco.
Apply now.
Browse the current openings and submit your application. We review every candidate — engineers, researchers, and operators welcome.