{"uid":"cap_h5b9OyrHVNrYaRMoSX-et","slug":"fact-check-workflow-exact-row-deduplication-daily-sum-series-312e1861","name":"Fact Check Workflow — Exact Row Deduplication + Daily Sum Series","description":"Fact check workflow — Exact row deduplication + Daily sum series: Exact row deduplication + 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-18-044?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_WE9Y-6xPi9HwU6FPZUUdr","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":"Deduplicates exact rows and computes daily sum time series for fact-check workflow data (claims_reviewed, references_collected) across up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you deduplicate these fact-check workflow rows and compute a daily sum series for claims_reviewed? I have about 50 rows with row_id, channel_group, date, claims_reviewed, and references_collected — I need both the deduplication report and the daily sum report back.","exampleUseCases":[{"title":"Daily claims reviewed trend analysis","prompt":"I have 120 rows of fact-check workflow data with dates, channel groups, claims reviewed, and references collected — can you deduplicate them and give me a daily sum series for claims_reviewed so I can see the trend over time?"},{"title":"Deduplicating multi-channel fact-check records","prompt":"Our fact-check pipeline is producing duplicate rows across multiple channel groups. Can you run exact row deduplication on these 80 records and also compute the daily sum of references_collected so I can spot any anomalies?"},{"title":"Audit prep for fact-check volume metrics","prompt":"I need to prepare an audit report on our fact-checking volume. Here are 200 rows of workflow data — please deduplicate them exactly and generate a daily sum series for claims_reviewed, grouped by date."}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying and removing duplicate entries from the supplied fact-check workflow records, and (2) a daily sum time series aggregating the selected metric (claims_reviewed or references_collected) by date — all computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows supplied — request will be rejected or truncated","Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) cause validation errors","Invalid date format (must be YYYY-MM-DD) causes schema rejection","Null values in numeric fields may affect sum computation","Invalid field enum value (not claims_reviewed or references_collected) causes error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of fact-check workflow data and need both exact row deduplication and a daily sum time series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical tasks on supplied data where no live lookup, prediction, or external action is required. Prefer it over general-purpose analytics tools when you want two bundled reports (deduplication + daily aggregation) specifically for claims_reviewed or references_collected metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:17:21.700Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-exact-row-deduplication-daily-sum-series-312e1861"}