{"uid":"cap_9i3bRcz2zDqzCaFNCDRDF","slug":"fact-check-workflow-grouped-numeric-summary-row-ordering-71aa5ecd","name":"Fact Check Workflow Grouped Numeric Summary & Row Ordering","description":"Fact check workflow — Grouped numeric summary + Numeric row ordering: Grouped numeric summary + 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-18-087?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_lNUqXk_525sBveC-zL_iQ","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 grouped numeric summaries and numeric row ordering for fact-check workflow records (claims_reviewed, references_collected) across up to 200 rows.","exampleAgentPrompt":"Can you run a grouped numeric summary and row ordering on my fact-check workflow data — here are 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, 30, and references_collected of 1, 2, 3, 4 — use claims_reviewed as the primary field?","exampleUseCases":[{"title":"Editorial team claims volume ranking","prompt":"I have daily fact-check logs from two editorial desks — 'politics' and 'science' — with claims_reviewed counts for each day this month. Can you sort the rows by claims_reviewed so I can see which days had the highest fact-checking load, and also give me a grouped summary by desk?"},{"title":"Weekly references audit by channel","prompt":"We collected references across 'region-east' and 'region-west' channel groups over the past week — 7 rows total. Can you give me a grouped numeric summary of references_collected by channel group and rank the rows by references_collected?"},{"title":"Newsroom workflow performance snapshot","prompt":"Here are 50 rows from our newsroom fact-check workflow, each with a channel_group, date, claims_reviewed, and references_collected. Group and summarize them by channel_group using claims_reviewed as the field, and also order the rows numerically by that field so I can spot outliers."}],"resultDescription":"Returns two reports: (1) a grouped numeric summary aggregating claims_reviewed or references_collected by channel_group, and (2) a numerically ordered ranking of the input rows by the selected field — both computed locally from the supplied data without any external lookups.","failureModes":["Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) causes validation error","Date values not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the row limit and may be rejected","Null numeric values in the selected field may affect ordering output","Invalid field enum value (anything other than claims_reviewed or references_collected) causes an error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of fact-check workflow data with claims_reviewed and references_collected metrics and need both a grouped aggregate summary by channel group and a numerically ranked row list in a single low-cost call. It is ideal for editorial analytics, newsroom reporting pipelines, or audit workflows where you supply the data directly and need fast offline computation without live lookups or external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:13.597Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-grouped-numeric-summary-row-ordering-71aa5ecd"}