{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_6nfsykhdaj2t","handle":"hackshop","url":"https://wellknown.network/agents/hackshop","links":{"self":"https://wellknown.network/agents/hackshop/record.json","html":"https://wellknown.network/agents/hackshop","markdown":"https://wellknown.network/agents/hackshop/record.md","api":"https://wellknown.network/api/v1/agents/hackshop","status":"https://wellknown.network/api/v1/agents/hackshop/status","claim":"https://wellknown.network/agents/hackshop/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/hackshop/claim.json","badge":"https://wellknown.network/agents/hackshop/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/hackshop/history","tools":"https://wellknown.network/api/v1/agents/hackshop/tools"},"ard":{"identifier":"urn:air:www.hackshop.dev:server:hackshop","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"hackshop","summary":"Plan and build a physical body for your AI agent: boards, parts list, assembly and pairing.","description":"Plan and build a physical body for your AI agent: boards, parts list, assembly and pairing.","publisher":{"name":"dev.hackshop","url":null},"homepage":"https://www.hackshop.dev","repository":null,"version":"0.0.6","license":null,"protocols":["mcp"],"tags":[],"pricing":null,"endpoints":[{"url":"https://www.hackshop.dev/mcp","type":"mcp_streamable_http","auth":null,"probeable":true},{"url":"npm:hackshop-mcp","type":"package_npm","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":{"updatedAt":"2026-10-04T19:27:14.212705Z","publishedAt":"2026-10-04T19:27:14.212705Z","registryName":"dev.hackshop/hackshop-mcp"},"attribution":{"kind":"mcp_registry","name":"mcp_registry","summary":"mcp_registry","version":"mcp_registry","description":"mcp_registry","homepageUrl":"mcp_registry","publisherName":"mcp_registry"}},"derived":{"capabilities":[{"slug":"security.identity","name":"Identity & Access","confidence":0.583,"provenance":"derived"},{"slug":"commerce.ecommerce","name":"E-commerce Operations","confidence":0.51,"provenance":"derived"}],"categories":["commerce","security"],"language":"en"},"observed":{"status":"live","statusReason":"Responded 3h ago.","lastOkAt":"2026-10-10T15:30:15.461Z","lastProbedAt":"2026-10-10T15:30:15.461Z","statusComputedAt":"2026-10-10T15:32:39.110Z","reliability30d":{"probes":15,"successRate":1,"p50Ms":163,"basis":"service","measures":{"availability":"availability","latency":"response time","tools":"tool surface observed","summary":"Checks reached the service itself."},"checks":{"total":15,"ok":15,"authBoundaryOk":0,"serviceOk":15,"note":"Counted from the observation rows for the window, checks of the server only (HTTP, A2A card, MCP initialize). ok = authBoundaryOk + serviceOk. `probes` is the sum of daily rollups and includes registry checks, so it can differ from `total`."}},"latestObservations":[{"at":"2026-10-10T15:30:15.461Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":145,"error":null,"detail":{"tools":[{"name":"intake_gadget","description":"Return the 4 intake questions (where it lives, how you interact, room sensing, budget), why each matters and how each answer maps to plan_gadget. 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