{"uid":"cap_5GOxB2CNzdG3qHs38lXqS","slug":"metadata-completeness-numeric-distribution-date-by-category-pivot-1c501307","name":"Metadata Completeness — Numeric Distribution + Date by Category Pivot","description":"Metadata completeness — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot for supplied metadata completeness records (present_fields, expected_fields). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-web-05-083?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","present_fields","expected_fields"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"present_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"expected_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","present_fields":10,"expected_fields":1},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","present_fields":20,"expected_fields":2},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","present_fields":15,"expected_fields":3},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","present_fields":30,"expected_fields":4}],"maxItems":200,"minItems":1},"field":{"enum":["present_fields","expected_fields"],"type":"string","default":"present_fields"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_bVMEu8GUXkd_APo6jM-u5","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs two local analytical reports on metadata completeness records: a numeric distribution of present/expected fields and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and date-by-category pivot on my metadata completeness records? I have rows with site_group, date, present_fields, and expected_fields — here are up to 200 rows — and I want to analyze the present_fields column.","exampleUseCases":[{"title":"Site group metadata completeness audit","prompt":"I have completeness records for multiple site groups spanning October 2026 — each row has a site_group, date, present_fields, and expected_fields. Can you generate the numeric distribution and date-by-category pivot for present_fields so I can see where each group stands?"},{"title":"Expected fields coverage trend analysis","prompt":"Run two reports on my metadata completeness data: a numeric distribution and a date pivot by category, but focus on the expected_fields column. I have about 150 rows covering different groups over the past quarter."},{"title":"Data pipeline completeness monitoring","prompt":"I'm checking how complete our data pipeline metadata is. Can you take these records — row_id, site_group, date, present_fields, expected_fields — and give me both the numeric distribution and the date-by-category pivot for present_fields? There are around 80 rows total."}],"resultDescription":"Two independent analytical reports: (1) a numeric distribution of the selected field (present_fields or expected_fields) across all supplied rows, and (2) a date-by-category pivot breaking down values by date and site_group category. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, site_group, date, present_fields, expected_fields) in any row — validation error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Invalid field selector value (not present_fields or expected_fields) — enum validation error","All numeric fields are null — insufficient data for distribution computation","Payment failure (insufficient USDC balance) — request not processed"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical reports — numeric distribution and date-by-category pivot — on metadata completeness data (present_fields and expected_fields) for up to 200 rows, without requiring any external data lookup or live prediction. It is cost-effective at $0.01 for both reports together and is ideal for offline or batch data quality auditing workflows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:53:32.414Z","isFirstParty":false,"canonicalSlug":"metadata-completeness-numeric-distribution-date-by-category-pivot-1c501307"}