MARKING

AUTONOMOUS INFORMATION

MARKING / MASTER

The information layer for autonomous trading and decision-making.

Real-time, verifiable information that autonomous software can discover, pay for, consume and act on.

questionExecutable BTC opportunity?

informationcross-venue market state

freshnesssource + canonical timestamps

trustSIGNED / VERIFIED

boundaryAGENT DECIDES / EXECUTES

MARKING

PROBLEM / PRODUCT

ACCESS IS NOT UNDERSTANDING

Autonomous software can access data. It cannot easily assemble trustworthy information.

TRADITIONALHuman-operated access

01Integrate venue APIs

02Manage credentials

03Normalize symbols

04Reconcile clocks

05Build analytics

06Track provenance

MARKINGMachine-native access

01Discover information

02Inspect policy + sources

03Pay programmatically

04Consume immediately

05Verify locally

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DECISION INTELLIGENCE

THE AGENT NEEDS AN ANSWER—NOT ANOTHER PRICE

An agent needs the information required to decide.

ARBITRAGE / HERO JOB

Is there an executable BTC arbitrage opportunity right now?

multi-venue booksliquidityfeeslatencyslippage

MARKING RETURNSCross-venue market state + opportunity information + freshness + provenance

MARKET MAKING

What is the current BTC market-making state?

Fair-value inputs · imbalance · volatility · liquidity · funding

EVENT / PREDICTION

Did this event happen?

Sources · evidence · resolution policy · attestation

Marking returns trusted information. The agent owns the decision and execution.

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PRODUCT ARCHITECTURE

FROM FRAGMENTED SOURCES TO DECISION-READY INFORMATION

Marking turns fragmented data into decision-ready information.

01Raw sources

02Normalization

03Analytics

04Information

05Verification

06Agent

MARKETOPPORTUNITYRISK

MARKING OUTPUTTrusted information

CONSUMERAgent

01Decision

02Execution

Begin with autonomous financial software: Marking starts with the highest-value information workflows, proves repeated demand and expands distribution from that foundation.

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AUTONOMOUS USE CASES

DIFFERENT STRATEGIES NEED DIFFERENT INFORMATION

The same information layer can power many autonomous strategies.

TRADING

ArbitrageMarket makingMomentum / mean reversionFunding / basisOrder-book / options / volatility

ON-CHAIN / EXECUTION

On-chain arbitrageCross-chain arbitrageMEV / searchersLiquidation bots

EVENT / INFORMATION

Event-drivenNews-drivenPrediction-market strategies

CAPITAL / RISK

Portfolio rebalancingTreasury managementYield / stakingRisk management

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END-TO-END PRODUCT PROOF

DISCOVER → PAY → CONSUME → VERIFY → DECIDE

A machine paid, received access and verified signed information.

01 / PAYMENTBase Sepolia

x402 settlement confirmed

02 / ACCESSLease issued

Signed time-bound lease

03 / STREAM566 · 567 · 568

Successive signed sequences

04 / DELIVERY41–44 ms

Observed canonical-to-client samples

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VERIFIABLE PROVENANCE

EVERY ANSWER CARRIES PROVENANCE

Trust travels with the information.

The recipient verifies the object—not a screenshot, dashboard or database assertion.

MARKING / SIGNED OBJECTV1

feed / objectBTC/USD

sequencemonotonic feed-local sequence

timestampssource · received · canonical

value / outcomecanonical payload

source setcontributors + exclusions

policyversioned deterministic method

evidence rootcontent-addressed for outcomes

statusvalid · corrected · superseded

SIGNATURE + CERTIFICATE CHAIN → verify scope, validity, revocation and payload integrity locally

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REAL-TIME PERFORMANCE

BUILT FOR REAL-TIME AUTONOMOUS WORKLOADS

Fast source processing. Regional delivery. Verifiable updates.

HOT / 01Sources

HOT / 02Normalize

HOT / 03Canonicalize

HOT / 04Fast sign

HOT / 05Edge publish

x402machine payment

Leasetime-bound access

KMS / HSMtrust root

Databasedurable state outside hot path

TESTED UPDATE RATE7.75 updates/s/feed1,550 observations/s across 200 feeds

PROCESSING LATENCY0.110526 ms P95source received → canonical signed

CONSUMER DELIVERY<50 ms P95 targetnearest supported regional relay

BENCHMARK VOLUME93,001 observations60-second sustained workload

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MARKET POSITION

VALUABLE PROVIDERS SOLVE IMPORTANT PARTS

Marking sits above fragmented information sources.

Exchange APIsTraditional data APIsPyth / Chainlink / DIAEvent oraclesMarking

The information transaction is the product

Marking combines fragmented sources, analytics, machine access and verification while leaving strategy and execution to the consumer.

Sources

provide valuable raw and canonical data

Marking

assembles decision-ready information for autonomous consumers

Workflow

discover → understand → pay → consume → verify → decide

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INFORMATION PRODUCTS

DATA IS THE INPUT. INFORMATION IS THE PRODUCT.

One trust layer supports three information products.

01 / LIVE DATA

Canonical market state

SnapshotsEvent-driven streamsFixed-rate channelsSource timestamps

02 / INTELLIGENCE

Decision-ready market context

VolatilityLiquidityFundingRisk and opportunity

03 / VERIFIED OUTCOMES

Evidence-backed final answers

Source evidenceResolution policyAttestationCorrection history

REST APIWEBSOCKETDATA LEASEx402SIGNED OBJECT

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NETWORK EFFECT

DEMAND COMPOUNDS INFORMATION VALUE

Every new consumer can make the information network more valuable.

Recurring machine demand creates a reason for publishers to contribute better information.

01Autonomous consumers

02Repeated paid demand

03Publisher incentive

04Better information

05Stronger provenance

06More consumers

FOCUS → Win repeated autonomous consumption, then deepen the information network.

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PRODUCT CAPABILITIES

ONE INFORMATION AND TRUST LAYER

The primitives autonomous software needs—in one system.

INFORMATION

Multi-source market feeds

Canonical crypto prices

Real-time event-driven streams

Strategy and opportunity intelligence

Evidence-backed event outcomes

Application and protocol delivery

TRUST + ACCESS

Signed data objects

Source and timestamp provenance

Independent local verification

x402 machine payments

Time-bound data leases

Agent-ready APIs and streams

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FOUNDING TEAM / THE ASK

MARKING / THE ASK

Build the information layer for autonomous software.

Machine-native access · signed information · independent verification

Devendra “Tanny” TanwarFounder · Product & Technology

14+ years across JPMorgan Chase and Amazon; former VP Technical Program Manager in Digital Markets Execution & Technology; 4+ years in blockchain.

Shaivya BhadoriyaCo-Founder · GTM & Operations

About 14 years across JPMorgan Chase, Amazon and crypto GTM; institutional-client, ETF-marketing and customer-acquisition experience.

01Capital to scale the product and distribution

02Design partners building autonomous trading and decision systems

03Publisher and ecosystem introductions

FOUNDING TEAM → PRODUCT & TECHNOLOGY + GTM & OPERATIONS