{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_rm8gvhxmunse","handle":"sota2-ai-solution-rankings","url":"https://wellknown.network/agents/sota2-ai-solution-rankings","links":{"self":"https://wellknown.network/agents/sota2-ai-solution-rankings/record.json","html":"https://wellknown.network/agents/sota2-ai-solution-rankings","markdown":"https://wellknown.network/agents/sota2-ai-solution-rankings/record.md","api":"https://wellknown.network/api/v1/agents/sota2-ai-solution-rankings","status":"https://wellknown.network/api/v1/agents/sota2-ai-solution-rankings/status","claim":"https://wellknown.network/agents/sota2-ai-solution-rankings/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/sota2-ai-solution-rankings/claim.json","badge":"https://wellknown.network/agents/sota2-ai-solution-rankings/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/sota2-ai-solution-rankings/history","tools":"https://wellknown.network/api/v1/agents/sota2-ai-solution-rankings/tools"},"ard":{"identifier":"urn:air:www.sota2.com:server:sota2-ai-solution-rankings","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"SOTA2 — AI Solution Rankings","summary":"Compare published AI solution rankings, company facts and research benchmarks with sources.","description":"Compare published AI solution rankings, company facts and research benchmarks with sources.","publisher":{"name":"leo9","url":null},"homepage":"https://www.sota2.com/with-ai","repository":null,"version":"1.0.6","license":null,"protocols":["mcp"],"tags":[],"pricing":null,"endpoints":[{"url":"https://www.sota2.com/mcp","type":"mcp_streamable_http","auth":null,"probeable":true}],"skills":null,"tools":null,"extra":{"updatedAt":"2026-10-28T23:59:34.7834Z","publishedAt":"2026-10-28T23:59:34.7834Z","registryName":"io.github.leo9/sota2"},"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":"research.academic","name":"Academic Research","confidence":0.977,"provenance":"derived"},{"slug":"ai.evaluation","name":"Evaluation & Benchmarks","confidence":0.964,"provenance":"derived"},{"slug":"dev.filesystem","name":"Filesystem","confidence":0.54,"provenance":"derived"},{"slug":"ai.agent-discovery","name":"Agent Discovery","confidence":0.54,"provenance":"derived"},{"slug":"content.seo","name":"SEO","confidence":0.525,"provenance":"derived"},{"slug":"commerce.ecommerce","name":"E-commerce Operations","confidence":0.51,"provenance":"derived"}],"categories":["ai","commerce","content","dev","research"],"language":"en"},"observed":{"status":"live","statusReason":"Responded 5h ago.","lastOkAt":"2026-10-30T07:20:51.259Z","lastProbedAt":"2026-10-30T07:20:51.259Z","statusComputedAt":"2026-10-30T07:24:20.851Z","reliability30d":{"probes":1,"successRate":1,"p50Ms":323,"basis":"service","measures":{"availability":"availability","latency":"response time","tools":"tool surface observed","summary":"Checks reached the service itself."},"checks":{"total":1,"ok":1,"authBoundaryOk":0,"serviceOk":1,"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":"2026-10-30T07:20:51.259Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":323,"error":null,"detail":{"tools":[{"name":"search_companies","description":"Resolves a named AI company to stable IDs, names and descriptions. Revenue-only records can have null catalog slug and profile URL; their returned ID remains us"},{"name":"get_company","description":"Returns public data for an exact company ID or slug. Company and product soc2Disclosure states are separately reported_claims or unknown_not_disclosed, with ori"},{"name":"list_industries","description":"Lists supported industries with canonical IDs/slugs, names, descriptions and aliases. Includes cross-industry, consumer and agent audiences when available. An o"},{"name":"list_tasks","description":"Lists AI solution task IDs, slugs, descriptions and company coverage, optionally within an industry. An optional query filters the directory. Ambiguous 'AI veri"},{"name":"get_solution_rankings","description":"Returns published AI solution rankings for a specified industry/task. Industry only returns its task directory and cross-industry links; industry + task selects"},{"name":"list_company_leaderboards","description":"List supported AI company leaderboards by annual revenue, country/region and category. Returns IDs, scope, descriptions and source URLs. Country lists rank comp"},{"name":"get_company_leaderboard","description":"Returns a published AI company leaderboard by its exact ID, e.g. ai-global, ai-usa or ai-china. Includes ranks and ties, revenue in USD, reporting basis, period"},{"name":"list_research_domains","description":"Lists AI research fields with canonical slugs and descriptions, such as NLP, computer vision, agents/tool use and RAG. These are research domains, separate from"},{"name":"search_research","description":"Searches research benchmarks, datasets, tasks or papers using keywords, benchmark/dataset names, paper titles, authors or arXiv identifiers. Returns 20 results "},{"name":"get_research_entity","description":"Returns one exact research entity. Dataset identifiers are dataset-FAMILY slugs (e.g. omnidocbench), not version slugs (e.g. omnidocbench-v1-5); family details "},{"name":"get_research_benchmark","description":"Returns individual reported result rows for one exact benchmark version/split and metric. Top N corresponds to limit N rows, each identified by resultId with ex"}],"toolCount":11,"toolsHash":"c56585406acd0d5c753cfb643c8c7dd5900bf30187f6ba28a65ff73bc09c2309","serverName":"sota2","capabilities":["tools"],"serverVersion":"1.0.6","protocolVersion":"2025-06-18"}}],"tools":[{"name":"search_companies","description":"Resolves a named AI company to stable IDs, names and descriptions. Revenue-only records can have null catalog slug and profile URL; their returned ID remains us"},{"name":"get_company","description":"Returns public data for an exact company ID or slug. Company and product soc2Disclosure states are separately reported_claims or unknown_not_disclosed, with ori"},{"name":"list_industries","description":"Lists supported industries with canonical IDs/slugs, names, descriptions and aliases. Includes cross-industry, consumer and agent audiences when available. An o"},{"name":"list_tasks","description":"Lists AI solution task IDs, slugs, descriptions and company coverage, optionally within an industry. An optional query filters the directory. Ambiguous 'AI veri"},{"name":"get_solution_rankings","description":"Returns published AI solution rankings for a specified industry/task. Industry only returns its task directory and cross-industry links; industry + task selects"},{"name":"list_company_leaderboards","description":"List supported AI company leaderboards by annual revenue, country/region and category. Returns IDs, scope, descriptions and source URLs. Country lists rank comp"},{"name":"get_company_leaderboard","description":"Returns a published AI company leaderboard by its exact ID, e.g. ai-global, ai-usa or ai-china. Includes ranks and ties, revenue in USD, reporting basis, period"},{"name":"list_research_domains","description":"Lists AI research fields with canonical slugs and descriptions, such as NLP, computer vision, agents/tool use and RAG. These are research domains, separate from"},{"name":"search_research","description":"Searches research benchmarks, datasets, tasks or papers using keywords, benchmark/dataset names, paper titles, authors or arXiv identifiers. Returns 20 results "},{"name":"get_research_entity","description":"Returns one exact research entity. Dataset identifiers are dataset-FAMILY slugs (e.g. omnidocbench), not version slugs (e.g. omnidocbench-v1-5); family details "},{"name":"get_research_benchmark","description":"Returns individual reported result rows for one exact benchmark version/split and metric. Top N corresponds to limit N rows, each identified by resultId with ex"}],"package":null,"toolSurface":{"id":"ts_4zw349fkkn74","endpointId":"ep_quk3aqbhpba5","hash":"c56585406acd0d5c753cfb643c8c7dd5900bf30187f6ba28a65ff73bc09c2309","toolCount":11,"serverName":"sota2","serverVersion":"1.0.6","protocolVersion":"2025-06-18","firstSeenAt":"2026-10-30T07:20:51.269Z","lastSeenAt":"2026-10-30T07:20:51.269Z","observations":1,"toolNames":["search_companies","get_company","list_industries","list_tasks","get_solution_rankings","list_company_leaderboards","get_company_leaderboard","list_research_domains","search_research","get_research_entity","get_research_benchmark"],"distinctSurfaces":1},"endpointFacts":[{"id":"ep_quk3aqbhpba5","url":"https://www.sota2.com/mcp","type":"mcp_streamable_http","factsCheckedAt":"2026-10-30T07:20:51.281Z","auth":{"observedAt":"2026-10-30T07:20:51.709Z","authRequired":false,"scheme":null,"resourceMetadata":null,"authorizationServer":null,"conformance":{"dpop":false,"rfc8414":false,"rfc9728":false,"pkceS256":false,"clientIdMetadataDocument":false,"dynamicClientRegistration":false}},"tls":{"observedAt":"2026-10-30T07:20:51.722Z","protocol":"TLSv1.3","chainValid":true,"chainError":null,"hostMatches":true,"subject":"sota2.com","issuer":{"commonName":"YE2","organization":"Let's Encrypt"},"validFrom":"2026-10-20T13:54:13.000Z","validTo":"2027-01-18T13:54:12.000Z","daysToExpiry":80,"sanCount":2,"fingerprint256":"57:16:E1:2A:BE:54:30:40:EE:56:E8:D3:D2:9B:1B:31:09:A8:1A:F5:EC:F6:F4:90:7D:B2:5B:D8:DD:34:2C:B3"}}]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"mcp_registry","key":"io.github.leo9/sota2","url":"https://registry.modelcontextprotocol.io/v0/servers/io.github.leo9%2Fsota2","firstSeenAt":"2026-10-30T05:21:04.786Z","fetchedAt":"2026-10-30T05:21:04.786Z","normalizedAt":"2026-10-30T05:21:04.786Z"}]},"firstSeenAt":"2026-10-30T05:21:04.786Z","updatedAt":"2026-10-30T07:25:36.663Z"}