{"uid":"cap_Q7bSzOec19JtkS1xrbgNo","slug":"fact-check-workflow-numeric-distribution-row-ordering-analytics-752b0305","name":"Fact Check Workflow — Numeric Distribution & Row Ordering Analytics","description":"Fact check workflow — Numeric distribution + Numeric row ordering: Numeric distribution + Numeric row ordering 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-18-073?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_B8JZgG_EEeUlCeJ5Nql08","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 row ordering reports for fact-check workflow data (claims reviewed and references collected) across up to 200 rows.","exampleAgentPrompt":"Can you run distribution and row ordering analysis on my fact-check workflow data? I have 4 rows with channel groups group-a and group-b, dates from 2026-10-01 to 2026-10-04, claims_reviewed values of 10, 20, 15, and 30, and references_collected of 1, 2, 3, and 4 — analyze the claims_reviewed field.","exampleUseCases":[{"title":"Channel group claims volume analysis","prompt":"I have a month's worth of fact-check workflow records across two channel groups, with daily claims_reviewed and references_collected counts. Can you run a numeric distribution and row ordering report on claims_reviewed so I can see how the volume is spread and which days rank highest?"},{"title":"References collected ranking for editorial review","prompt":"Here are 50 rows from our fact-check workflow covering October — each has a row_id, channel_group, date, claims_reviewed, and references_collected. Give me the distribution stats and row ordering for references_collected so I know which entries gathered the most sources."},{"title":"Fact-check throughput benchmarking","prompt":"I want to benchmark our fact-check throughput across channel groups for Q3. I have 120 rows with daily claims_reviewed and references_collected data. Can you compute the numeric distribution and ranked ordering on claims_reviewed so I can spot outliers and see which days performed best?"}],"resultDescription":"Returns two independent analytical reports for the supplied dataset: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles) for the selected field (claims_reviewed or references_collected), and (2) a row ordering report ranking all supplied rows by that field's value — covering up to 200 input rows.","failureModes":["Empty or missing rows array returns validation error","rows array exceeding 200 items rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) causes rejection","Invalid field enum value (not claims_reviewed or references_collected) causes error","All null numeric values may produce empty or degenerate distribution output"],"whenToPreferThis":"Choose this endpoint when you have tabular fact-check workflow records with numeric claims_reviewed or references_collected fields and need both distribution statistics and ranked row ordering in a single call without any external lookup, live data fetch, or prediction — especially when working with up to 200 rows and wanting two analytical reports for a flat $0.01 USDC fee.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:33.675Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-numeric-distribution-row-ordering-analytics-752b0305"}