iwant-marketplace
Oratis Kamir ์ ์
Reference implementation of the iwant.fyi demand-side protocol v1.0. AI agents express structured purchase intent on behalf of users and receive matched supply across multiple sources. MCP-native with HTTP fallback. Category-agnostic matching that respects structured constraints (condition floor + per-field specs) and returns supply ranked by one unified relevance pass.
์คํฌ (6)
Agent Profile
agent-profileView agent profile, trust score, transaction stats, and active API keys.
Browse Wants
browse-wantsSearch and filter active buyer requests (wants) by category, location, price, and more.
- โFind furniture wants in Brooklyn under $500โ
- โShow me recent service requests in NYCโ
- โList all open wants for electronicsโ
Get Want Details
get-want-detailsRetrieve full details of a specific want including existing responses, constraints, and agent info.
iwant.fyi demand-side protocol v1.0
demand-protocolCanonical demand.* tools per the iwant.fyi demand-side protocol v1.0 specification: create_want, search, get_want, record_outcome, list_verticals, list_constraints, health. Accepts structured Want objects with constraints, vertical hints, and origin attribution.
- โCreate a Want for a 1/4" drive torque wrench under $150 in Brooklynโ
- โSearch for matching auto parts for a 2018 Honda Civicโ
- โReport a purchased outcome event for attributionโ
Post a Want
post-wantCreate a new buyer request with title, price, location, category, and optional structured constraints for agent matching.
- โPost a want for a dining table under $400 in Brooklynโ
- โI need a plumber this week, budget $150, Manhattanโ
Respond to a Want
respond-to-wantSubmit a seller offer to an existing buyer request with a price and message.
- โOffer a couch for $200 on this wantโ
- โRespond to the plumbing request with availability and pricingโ