Intuition primary sources — 2026-05-10

What I reviewed

• Official site and docs:
  • https://www.intuition.systems/
  • https://docs.intuition.systems/whitepapers
  • https://docs.intuition.systems/docs
  • https://docs.intuition.systems/docs/intuition-concepts/primitives
  • https://docs.intuition.systems/docs/intuition-concepts/economics
• Official repositories:
  • https://github.com/0xIntuition
  • https://github.com/0xIntuition/intuition-docs
• Official whitepaper:
  • https://cdn.prod.website-files.com/65cdf366e68587fd384547f0/66ccda1f1b3bbf2d30c4f522_intuition_whitepaper.pdf

Key takeaways from primary sources

• Intuition’s core reusable mechanism is the split between Atoms, Triples, and Signals: identifiers, claims, and economically weighted conviction are separate protocol objects rather than one merged attestation record.
• The primitives docs show that the protocol is trying to build a recursively composable semantic graph, not just a list of credentials. Triples can themselves become referents for later Triples.
• The economics docs matter as much as the semantic model. Intuition is not only asserting that knowledge should be structured; it is asserting that identifier creation, claim reuse, and schema adoption should be shaped by bonding curves and token incentives.
• The strongest control-surface insight is canonicalization. If anyone can create an identifier for anything, the important question becomes what pushes participants toward shared identifiers and predicates instead of endless duplication.
• The docs and repo positioning make clear that Intuition wants to sit beneath applications as a portable data layer, with SDK, GraphQL, and network components supporting reuse across apps, chains, and AI systems.
• This puts Intuition adjacent to but distinct from EAS, Sign Protocol, OpenRank, and Human Passport: it is upstream of score computation and downstream of raw unstructured data, trying to make the graph itself economically legible.

Specific source signals worth retaining

• Intro docs: best concise statement of the protocol thesis that Intuition decentralizes information, trust, ownership, discoverability, and monetization rather than just social identity.
• Primitives docs: strongest explanation of Atoms, Triples, Signals, recursive composition, and why the system is more than a flat attestation table.
• Economics docs: key evidence for the token-curated and convergence-seeking design, especially around bonding curves, early-mover rewards, and standards alignment.
• Whitepapers portal: useful because it shows the team treats the protocol, token, and AgentRank as related but separable documents.
• Docs repo: confirms the protocol is being developed as a reusable stack with dedicated docs for contracts, network, node operation, GraphQL, and SDK usage.

Why this entry belongs in the corpus

• It adds a mechanism-rich identity / attestation / knowledge-graph project that is not reducible to a wallet-login spec or a credential issuance registry.
• It sharpens comparisons across EAS, Sign Protocol, OpenRank, Human Passport, and Ethereum Follow Protocol by isolating a different layer: canonical identifier formation and economically weighted graph construction.
• The reusable insight is that decentralized trust systems do not only compete on who can issue attestations or compute rankings. They also compete on how a shared graph gets named, merged, weighted, and made canonical enough for downstream reuse.