{"uid":"cap_rtvj2qbGYuufMySU1pCfR","slug":"fact-check-workflow-analytics-numeric-distribution-daily-sum-series-0a7cecf4","name":"Fact Check Workflow Analytics — Numeric Distribution + Daily Sum Series","description":"Fact check workflow — Numeric distribution + Daily sum series: Numeric distribution + 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-18-075?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_9TBjnnPaOPtKbY0wjqsXE","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":"Computes numeric distribution statistics and a daily sum time series for fact-check workflow data (claims reviewed and references collected) across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and daily sum series analysis on my fact-check workflow data — I have 4 rows across two channel groups (group-a and group-b) from October 1–4 2026, with claims_reviewed values of 10, 20, 15, 30 and references_collected of 1, 2, 3, 4 — analyze the claims_reviewed field?","exampleUseCases":[{"title":"Daily claims volume trend for newsroom","prompt":"I have a week of fact-check workflow records with daily claims_reviewed counts across two channel groups — can you compute the numeric distribution and daily sum series for claims_reviewed so I can see volume trends and spread?"},{"title":"References collected distribution for audit","prompt":"Run a numeric distribution and daily sum series report on my references_collected data from our fact-check pipeline — I have about 150 rows with dates and channel groups and need both reports for an internal audit."},{"title":"Channel group performance summary","prompt":"I need to analyze my fact-checking workflow metrics — I have rows with claims_reviewed and references_collected per date and channel_group, please generate the distribution stats and daily sum series for the references_collected field across all my records."}],"resultDescription":"Returns two analytical reports for the supplied dataset: (1) a numeric distribution report showing statistical spread (min, max, mean, percentiles, etc.) for the selected field, and (2) a daily sum series showing aggregated totals per date. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted exceeds the limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) on any row causes rejection","Invalid field enum value (not claims_reviewed or references_collected) causes error","All-null values for the selected numeric field may produce empty or degenerate distribution output"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of fact-check workflow records with dated, grouped numeric fields and need both a statistical distribution and a daily aggregated time series in a single low-cost call. It is purpose-built for journalism and fact-checking pipeline analytics without requiring external data access or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:04.910Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-analytics-numeric-distribution-daily-sum-series-0a7cecf4"}