TrustNomiks turns fragmented whitepapers, DAO proposals and on-chain records into clean, verifiable, machine-readable claims, then serves them to AI agents over MCP and API. The tokenomics data layer your agents can actually trust.
Built on Intuition Protocol, curated by $TRUST.
From scattered docs to agent-ready intelligence
Turn a whitepaper or DAO proposal into clean, standardized tokenomics. Supply, allocations, vesting and emissions, all in one place.
See how any token's distribution, unlock schedule and emissions stack up against its peers, side by side.
Every figure links back to its source, and can be published on-chain as a curated, stake-weighted claim.
Expose curated tokenomics over an MCP server and a REST + GraphQL API, so AI agents and copilots query verifiable claims instead of scraping PDFs.
The TrustNomiks ecosystem
The app is the front door. Around it, the same verified graph is served to analysts, contributors and AI agents through open interfaces.
The tokenomics ontology, contribution guides, and the Atoms & Triples data model: everything needed to read or extend the graph.
Available at launchPlug verified tokenomics straight into your agents and copilots. Query claims, provenance and stake weights, no PDF scraping.
The full protocol design: the standardized ontology, $TRUST curation economics, and the road to a verifiable agentic data layer.
Available at launchWhere this is going
300 tokens with complete, sourced tokenomics: one standardized ontology across supply, allocations, vesting and emissions.
Every claim published on Intuition and weighted by $TRUST staking: the community puts skin in the game on what's true.
AI agents, risk desks and protocols consume verified claims over MCP and API: trust as infrastructure, not a promise.
Every contribution makes the graph more complete, and more valuable to everyone who queries it.