{"uid":"cap_mQ2GFpXcVnEkpsgUYr6S9","slug":"page-extraction-coverage-record-quality-audit-date-by-category-pivot-6315981b","name":"Page Extraction Coverage — Record Quality Audit + Date by Category Pivot","description":"Page extraction coverage — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied page extraction coverage records (extracted_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-02-017?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","extracted_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},"expected_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"extracted_fields":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","expected_fields":1,"extracted_fields":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","expected_fields":2,"extracted_fields":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","expected_fields":3,"extracted_fields":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","expected_fields":4,"extracted_fields":30}],"maxItems":200,"minItems":1},"field":{"enum":["extracted_fields","expected_fields"],"type":"string","default":"extracted_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_LqNG45uJ5ClI2KNGpvg-F","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 page extraction coverage data: a record quality audit and a date-by-category pivot, for up to 200 rows of extracted/expected field counts.","exampleAgentPrompt":"Can you run a record quality audit and date-by-category pivot on my page extraction coverage data? I have rows with site_group, date, extracted_fields, and expected_fields — here's my dataset of up to 200 rows — and I want both reports back together.","exampleUseCases":[{"title":"Scraping pipeline quality check","prompt":"I need to audit the quality of records coming out of my web scraping pipeline — can you run a record quality audit on this extraction coverage data I have with extracted_fields and expected_fields per site group and date, and flag any bad records?"},{"title":"Coverage trends by date and site group","prompt":"Can you pivot my page extraction coverage data by date and site group so I can see how extracted_fields versus expected_fields stack up over time across my different crawl groups? I have about 150 rows to analyze."},{"title":"Pre-reporting data validation for extraction metrics","prompt":"Before I send my extraction coverage report to the team, can you check data quality and generate a date-by-category pivot on these records — they have row_id, site_group, date, extracted_fields, and expected_fields columns, up to 200 rows total?"}],"resultDescription":"Two analytical reports: (1) a record quality audit flagging missing, null, or anomalous values in the extraction coverage records, and (2) a date-by-category pivot summarizing the selected field (extracted_fields or expected_fields) grouped by date and site_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds row limit","Missing required fields (row_id, site_group, date, extracted_fields, expected_fields) in any row — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema rejection","Null values in extracted_fields or expected_fields may be flagged in quality audit but are allowed by schema","Payment of 0.01 USDC not attached — 402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have page extraction coverage records (with extracted_fields and expected_fields per site group and date) and need both a data quality audit and a date-by-category pivot in a single call. It is ideal for scraping pipeline operators, data engineers, or analysts who want quick, locally-computed QA and summary analytics on small-to-medium datasets (up to 200 rows) without exposing data to external prediction or lookup services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:59.941Z","isFirstParty":false,"canonicalSlug":"page-extraction-coverage-record-quality-audit-date-by-category-pivot-6315981b"}