{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_p6bktgjubdvj","handle":"dataset-aggregate-pivot","url":"https://wellknown.network/agents/dataset-aggregate-pivot","links":{"self":"https://wellknown.network/agents/dataset-aggregate-pivot/record.json","html":"https://wellknown.network/agents/dataset-aggregate-pivot","markdown":"https://wellknown.network/agents/dataset-aggregate-pivot/record.md","api":"https://wellknown.network/api/v1/agents/dataset-aggregate-pivot","status":"https://wellknown.network/api/v1/agents/dataset-aggregate-pivot/status","claim":"https://wellknown.network/agents/dataset-aggregate-pivot/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/dataset-aggregate-pivot/claim.json","badge":"https://wellknown.network/agents/dataset-aggregate-pivot/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/dataset-aggregate-pivot/history","tools":"https://wellknown.network/api/v1/agents/dataset-aggregate-pivot/tools"},"ard":{"identifier":"urn:air:dataset-aggregate-pivot.nerolabs.workers.dev:server:dataset-aggregate-pivot","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"Dataset Aggregate & Pivot","summary":"GROUP BY and pivot tables for JSON rows: 11 functions, date buckets, top N, totals, messy numbers.","description":"GROUP BY and pivot tables for JSON rows: 11 functions, date buckets, top N, totals, messy numbers.","publisher":{"name":"Nero-Engine","url":null},"homepage":"https://github.com/Nero-Engine/dataset-aggregate-pivot-mcp","repository":"https://github.com/Nero-Engine/dataset-aggregate-pivot-mcp","version":"0.1.0","license":null,"protocols":["mcp"],"tags":[],"pricing":null,"endpoints":[{"url":"https://dataset-aggregate-pivot.nerolabs.workers.dev/mcp","type":"mcp_streamable_http","auth":null,"probeable":true}],"skills":null,"tools":null,"extra":{"updatedAt":"2026-09-13T00:07:44.261763Z","publishedAt":"2026-09-13T00:07:44.261763Z","registryName":"io.github.Nero-Engine/dataset-aggregate-pivot"},"attribution":{"kind":"mcp_registry","name":"mcp_registry","repoUrl":"mcp_registry","summary":"mcp_registry","version":"mcp_registry","description":"mcp_registry","homepageUrl":"mcp_registry","publisherName":"mcp_registry"}},"derived":{"capabilities":[{"slug":"documents.spreadsheets","name":"Spreadsheets","confidence":0.569,"provenance":"derived"},{"slug":"content.writing","name":"Writing & Editing","confidence":0.51,"provenance":"derived"}],"categories":["content","documents"],"language":"en"},"observed":{"status":"live","statusReason":"Responded 7h ago.","lastOkAt":"2026-10-10T16:32:54.443Z","lastProbedAt":"2026-10-10T16:32:54.443Z","statusComputedAt":"2026-10-10T16:33:53.113Z","reliability30d":{"probes":96,"successRate":0.9896,"p50Ms":24,"basis":"service","measures":{"availability":"availability","latency":"response time","tools":"tool surface observed","summary":"Checks reached the service itself."},"checks":{"total":96,"ok":95,"authBoundaryOk":0,"serviceOk":95,"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":"2026-10-10T16:32:54.443Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":44,"error":null,"detail":{"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"toolCount":2,"toolsHash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","serverName":"nerolabs-dataset-aggregate-pivot","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-10T10:29:19.452Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":52,"error":null,"detail":{"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"toolCount":2,"toolsHash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","serverName":"nerolabs-dataset-aggregate-pivot","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-10T04:32:07.278Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":11,"error":null,"detail":{"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"toolCount":2,"toolsHash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","serverName":"nerolabs-dataset-aggregate-pivot","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-09T21:27:37.861Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":39,"error":null,"detail":{"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"toolCount":2,"toolsHash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","serverName":"nerolabs-dataset-aggregate-pivot","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-09T15:33:32.527Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":92,"error":null,"detail":{"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"toolCount":2,"toolsHash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","serverName":"nerolabs-dataset-aggregate-pivot","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-09T09:27:33.888Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":26,"error":null,"detail":{"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"toolCount":2,"toolsHash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","serverName":"nerolabs-dataset-aggregate-pivot","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-09T03:22:55.683Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":14,"error":null,"detail":{"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"toolCount":2,"toolsHash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","serverName":"nerolabs-dataset-aggregate-pivot","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T20:23:56.263Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":24,"error":null,"detail":{"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"toolCount":2,"toolsHash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","serverName":"nerolabs-dataset-aggregate-pivot","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T13:23:39.006Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":37,"error":null,"detail":{"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"toolCount":2,"toolsHash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","serverName":"nerolabs-dataset-aggregate-pivot","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-10-08T07:24:55.727Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":24,"error":null,"detail":{"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"toolCount":2,"toolsHash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","serverName":"nerolabs-dataset-aggregate-pivot","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}}],"tools":[{"name":"list_capabilities","description":"Returns the 11 aggregation functions and what each one does, the date bucket formats, the labels used for blank, invalid-date and total rows, and the limits per"},{"name":"aggregate_rows","description":"SQL GROUP BY and a spreadsheet pivot table for a list of JSON rows, in one call. Returns one output row per group with the aggregated columns, plus a summary: g"}],"package":null,"toolSurface":{"id":"ts_87tzhtt8jdct","endpointId":"ep_j43q33rexer8","hash":"51a552bab0cc54a25ea0e46ea0b0c540d59ac92784b1b798d0ce9e53d0519276","toolCount":2,"serverName":"nerolabs-dataset-aggregate-pivot","serverVersion":"0.1.0","protocolVersion":"2025-06-18","firstSeenAt":"2026-09-14T07:25:40.165Z","lastSeenAt":"2026-10-10T16:32:54.446Z","observations":95,"toolNames":["list_capabilities","aggregate_rows"],"distinctSurfaces":1},"endpointFacts":[{"id":"ep_j43q33rexer8","url":"https://dataset-aggregate-pivot.nerolabs.workers.dev/mcp","type":"mcp_streamable_http","factsCheckedAt":"2026-10-08T20:23:56.268Z","auth":{"observedAt":"2026-10-08T20:23:56.315Z","authRequired":false,"scheme":null,"resourceMetadata":null,"authorizationServer":null,"conformance":{"dpop":false,"rfc8414":false,"rfc9728":false,"pkceS256":false,"clientIdMetadataDocument":false,"dynamicClientRegistration":false}},"tls":{"observedAt":"2026-10-08T20:23:56.326Z","protocol":"TLSv1.3","chainValid":true,"chainError":null,"hostMatches":true,"subject":"nerolabs.workers.dev","issuer":{"commonName":"YE2","organization":"Let's Encrypt"},"validFrom":"2026-09-12T21:16:30.000Z","validTo":"2026-12-11T21:16:29.000Z","daysToExpiry":61,"sanCount":2,"fingerprint256":"07:95:28:DA:AC:86:BC:FA:03:A9:5E:A1:B7:AC:A5:A9:2A:F1:42:58:80:9E:71:67:E3:61:D4:7C:23:04:D9:4C"}}]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"mcp_registry","key":"io.github.Nero-Engine/dataset-aggregate-pivot","url":"https://registry.modelcontextprotocol.io/v0/servers/io.github.Nero-Engine%2Fdataset-aggregate-pivot","firstSeenAt":"2026-09-14T07:22:01.098Z","fetchedAt":"2026-10-09T23:22:46.974Z","normalizedAt":"2026-10-09T23:22:46.974Z"}]},"firstSeenAt":"2026-09-14T07:22:01.098Z","updatedAt":"2026-10-10T16:34:59.222Z"}