Machine-readable verification
Normalize product, market, GitHub, on-chain, token, governance, and security evidence into JSON that agents can trust.
Trust infrastructure for AI agents
Verify the project.
Trust the decision.
DYOR resolves a domain, token, contract, or repository into an evidence-backed decision. When the identity or data is not good enough, it says so clearly.
Open verification page Canonical identity Live source ledger Agent-ready decisions
dyor / verification pipeline
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INPUTProject identifier
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RESOLUTIONCanonical identity + confidence
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EVIDENCELive providers, explicit gaps
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DECISIONPROCEED · REVIEW · BLOCK
VERIFICATION ACROSSOn-chain dataGitHubTokenomicsSecurityGovernanceMarket data
ONE INPUT. MANY CALLERS.
Verification without the tab overload.
DYOR turns fragmented public evidence into a consistent decision layer that both humans and agents can consume, while keeping unavailable signals visible instead of inventing values.
Transparent confidence
See category scores, confidence levels, source provenance, and the assumptions behind every recommendation.
Built for autonomous workflows
Use the dashboard directly or call the verification API from trading, treasury, launchpad, or research agents.
AGENT FLOWEvidence first.
Evidence first.
Decision second.
The service separates data collection from interpretation, so every conclusion stays traceable and each provider can fail safely without breaking the report.
- Identify and resolveMatch a name, domain, contract, symbol, or repository to the correct project.
- Collect and normalizeConvert conflicting provider formats into a common evidence schema.
- Score with confidenceWeight verified findings more heavily and expose missing evidence or unavailable sources.
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Resolve project identity
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Collect live provider evidence
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Cross-check contradictions
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Calculate category scores
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Return verification JSON