{"uid":"cap_DDpwbAQAgBdnflvbbOlsb","slug":"fact-check-workflow-record-quality-audit-daily-sum-series-c1d735c3","name":"Fact Check Workflow — Record Quality Audit + Daily Sum Series","description":"Fact check workflow — Record quality audit + Daily sum series: Record quality audit + Daily sum series for supplied fact check workflow records (claims_reviewed, references_collected). 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-news-18-009?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","claims_reviewed","references_collected"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel_group":{"type":"string","default":"","maxLength":80},"claims_reviewed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"references_collected":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","claims_reviewed":10,"references_collected":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","claims_reviewed":20,"references_collected":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","claims_reviewed":15,"references_collected":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","claims_reviewed":30,"references_collected":4}],"maxItems":200,"minItems":1},"field":{"enum":["claims_reviewed","references_collected"],"type":"string","default":"claims_reviewed"}}},"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_xHOtPcPpV2_q8dtIKG9ek","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 fact-check workflow data: a record quality audit and a daily sum time series, for up to 200 rows of claims_reviewed or references_collected metrics.","exampleAgentPrompt":"Can you run a record quality audit and daily sum series on my fact-check workflow data? I have rows with date, channel_group, claims_reviewed, and references_collected — here are up to 200 rows, and I want to analyze the claims_reviewed field.","exampleUseCases":[{"title":"Daily claims reviewed trend check","prompt":"I have 4 months of daily fact-check records with claims_reviewed and references_collected per channel group — can you run a daily sum series on claims_reviewed so I can see how our volume trended over time, and flag any quality issues in the rows?"},{"title":"Data quality audit before reporting","prompt":"Before I send this fact-check dataset to my editor, can you run a record quality audit on these rows — each has a row_id, date, channel_group, claims_reviewed, and references_collected — so I can catch any bad or missing data?"},{"title":"Reference collection workload analysis","prompt":"Can you analyze my references_collected data for the last quarter across channel groups? I want both a quality audit of the records and a daily sum series so I can spot gaps or spikes in our reference gathering workflow."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging data issues such as missing values, duplicates, or anomalies across the submitted rows, and (2) a daily sum series aggregating the selected numeric field (claims_reviewed or references_collected) by date. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Empty rows array — minimum 1 row required","More than 200 rows submitted — exceeds maxItems limit","Invalid date format — must match YYYY-MM-DD pattern","Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) on any row","Invalid field enum value — must be 'claims_reviewed' or 'references_collected'","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Payment failure — 0.01 USDC required per call"],"whenToPreferThis":"Choose this endpoint when you need two bundled analytical outputs — a data quality audit plus a daily aggregation series — on fact-check workflow records without requiring any live data lookups or external integrations. It is cost-effective at $0.01 for both reports on up to 200 rows, making it ideal for lightweight, self-contained batch analysis of claims and references data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:09.525Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-record-quality-audit-daily-sum-series-c1d735c3"}