The information layer for autonomous trading and decision-making.
Marking gives autonomous software the information it needs to understand conditions, decide and act.
Autonomous software can access data. It cannot easily assemble trustworthy information.
An agent needs the information required to decide.
Is there an executable BTC arbitrage opportunity right now?
What is the current BTC market-making state?
Fair-value inputs · imbalance · volatility · liquidity · funding
Did this event happen?
Sources · evidence · resolution policy · attestation
Marking returns trusted information. The agent owns the decision and execution.
Marking turns fragmented data into decision-ready information.
Post Web opportunity: Agents can transact, but decision-ready information still depends on fragmented human-operated services. Marking makes the transaction machine-native and verifiable.
The same information layer can power many autonomous strategies.
Available today: canonical crypto prices and one event-resolution prototype. Strategy-specific intelligence products are next—not claimed as complete.
One testnet payment unlocked a signed live stream.
Certification report evidence. Base Sepolia testnet. Three latency samples—not a percentile or geographic SLA. Payment and access are implemented; decision and execution remain with the consumer.
Trust travels with the information.
The recipient verifies the object—not a screenshot, dashboard or database assertion.
Representative implemented schema fields. Publisher-origin signatures and broader intelligence envelopes remain planned.
The information path stays fast; payment and durable state stay separate.
200 feeds · 1,550 obs/s · 0.051471 ms P95 source-received → canonical-signed
60-second scoped local Rust benchmark; 93,001 observations. Not production, geographic or consumer-delivery certification. Rust remains shadow-only.
Marking sits above fragmented information sources.
Information infrastructure for autonomous transactions
Marking joins information products, open payment, time-bound access and verification without claiming any individual primitive as proprietary.
provide valuable raw and canonical data
assembles decision-ready information for autonomous consumers
discover → understand → pay → consume → verify → decide
Three product types match three information jobs.
Raw and canonical information
BTC/USD for 30 days = $51.84Market state, volatility, liquidity, funding and risk
Initial pricing hypothesisA specific answer: opportunity, funding, liquidation or outcome
Initial pricing hypothesisNo revenue, paying customers or validated willingness-to-pay is evidenced. Provider rights and fees remain release gates. Monthly plans may coexist with machine-native usage pricing.
Every new consumer can make the information network more valuable.
Seed machine demand, prove publisher value, then compound provenance and distribution.
COMMITMENT → Build a repeatable agent-to-information market with real external consumers.
The core information infrastructure exists. The product layer is expanding.
Build the information layer for the agentic internet.
Technical execution: deployed preview + certified payment flow + scoped 200-feed local benchmark.
14+ years across JPMorgan Chase and Amazon; former VP Technical Program Manager in Digital Markets Execution & Technology; 4+ years in blockchain.
About 14 years across JPMorgan Chase, Amazon and crypto GTM; institutional-client, ETF-marketing and customer-acquisition experience.
FOUNDING TEAM → PRODUCT & TECHNOLOGY + GTM & OPERATIONS