{"uid":"cap_JOGnib6fAZTNmWQkHy3EE","slug":"metadata-completeness-daily-sum-series-date-by-category-pivot-b38bb98f","name":"Metadata Completeness — Daily Sum Series + Date by Category Pivot","description":"Metadata completeness — Daily sum series + Date by category pivot: Daily sum series + 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-05-143?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_U5sIV1QyGaFUT5fgnnneh","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":"Generates two analytical reports (daily sum time series and date-by-category pivot table) from supplied metadata completeness records containing present_fields and expected_fields counts.","exampleAgentPrompt":"Can you run a daily sum series and date-by-category pivot on my metadata completeness data? I have up to 50 rows with site_group and date fields, and I want to analyze present_fields — here's my dataset.","exampleUseCases":[{"title":"Daily metadata coverage trending","prompt":"I have 120 rows of metadata completeness records across two site groups over the past quarter — each row has a date, site_group, present_fields, and expected_fields. Can you generate a daily sum time series and a date-by-category pivot for present_fields so I can see coverage trends?"},{"title":"Multi-site field completeness audit","prompt":"We track metadata quality across site groups A, B, and C daily. Can you take these 80 records and produce a daily sum series plus a pivot table by site_group and date for expected_fields, so I can spot which groups are falling behind?"},{"title":"Data pipeline completeness report","prompt":"After running our nightly ingestion pipeline I have a fresh batch of 150 metadata completeness rows with present_fields and expected_fields counts. Can you compute the daily totals and give me a category pivot for present_fields so I can see if anything dropped off today?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series aggregating the selected field (present_fields or expected_fields) by date, and (2) a date-by-category pivot table cross-tabulating daily values across site_groups — both computed from the supplied rows using local analytical engines, with no external lookups.","failureModes":["Exceeding 200 row limit returns an error or truncated result","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, site_group, date, present_fields, expected_fields) results in rejection","Null values in numeric fields may produce gaps or nulls in aggregations","Payment failure via x402 protocol blocks request execution"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical views — a daily sum time series AND a date-by-category pivot — on metadata completeness data (present_fields / expected_fields) in a single low-cost call. It is ideal for batch offline analysis of up to 200 pre-collected records where no live data lookup, ML prediction, or external enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:47:39.376Z","isFirstParty":false,"canonicalSlug":"metadata-completeness-daily-sum-series-date-by-category-pivot-b38bb98f"}