{"uid":"cap_ZfGD_C2OL1xakSFZMp_kU","slug":"fact-check-workflow-analytics-numeric-row-ordering-two-measure-d2d0de7b","name":"Fact Check Workflow Analytics: Numeric Row Ordering + Two-Measure Correlation","description":"Fact check workflow — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation 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-18-120?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__8P6iSc5NTVIr7qnLadcy","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":"Sorts fact-check workflow rows by a chosen numeric measure and computes the correlation between claims_reviewed and references_collected across up to 200 supplied records.","exampleAgentPrompt":"I have 4 rows of fact-check workflow data with dates from 2026-10-01 to 2026-10-04, channel groups group-a and group-b, and claims_reviewed values of 10, 20, 15, 30 with references_collected of 1, 2, 3, 4 — can you sort them by claims_reviewed and also compute the correlation between claims reviewed and references collected?","exampleUseCases":[{"title":"Ranking editorial channels by claim volume","prompt":"I have data for 8 fact-checking channel groups over the past month — each row has a date, a channel group name, the number of claims reviewed, and references collected. Can you sort all the rows by claims_reviewed from highest to lowest and show me the correlation between claims and references?"},{"title":"Correlation audit for news verification team","prompt":"Our news desk tracked claims_reviewed and references_collected for 50 stories across two groups over Q3 — I want to know how strongly those two measures correlate with each other. Here's the dataset with row IDs and dates, can you run the two-measure correlation report using references_collected as the sort field?"},{"title":"Weekly fact-check performance ordering","prompt":"I have this week's fact-check records for groups alpha and beta — 12 rows total, each with a date, row ID, claims reviewed, and references collected. Sort them numerically by claims_reviewed and also tell me the correlation between the two measures so I can see if busier days also pull more references."}],"resultDescription":"Returns two analytical reports: (1) rows sorted/ranked by the chosen numeric field (claims_reviewed or references_collected), and (2) a Pearson or equivalent correlation coefficient and summary between claims_reviewed and references_collected across all supplied rows. Both reports are computed locally from supplied data with no external lookups.","failureModes":["Empty or missing rows array returns a validation error","More than 200 rows in input returns a rejection (maxItems exceeded)","Null values in both claims_reviewed and references_collected for all rows may cause correlation computation to fail","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Unrecognized field enum value other than claims_reviewed or references_collected causes a schema rejection","Missing required fields (row_id, channel_group, date) on any row causes a row-level validation failure"],"whenToPreferThis":"Choose this endpoint when you have tabular fact-check workflow data with claims_reviewed and references_collected metrics and need both a numeric ordering of rows and a correlation analysis between those two measures in a single call. It is well-suited for editorial analytics, journalism workflow audits, or any scenario where you want to understand the relationship between claim volume and reference gathering without connecting to external data sources. Prefer it over general-purpose data tools when you want a low-cost ($0.01 USDC), self-contained, offline computation on up to 200 rows of fact-check records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:45:23.535Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-analytics-numeric-row-ordering-two-measure-d2d0de7b"}