{"uid":"cap_rr1Gh4CowyG0HP82P8VAl","slug":"fact-check-workflow-analyzer-category-frequencies-numeric-row-ordering-ea3689f4","name":"Fact Check Workflow Analyzer — Category Frequencies & Numeric Row Ordering","description":"Fact check workflow — Category frequencies + Numeric row ordering: Category frequencies + 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-18-100?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_oT_klucarR5CqAsYQLsyn","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 category frequency counts and numeric row ordering for up to 200 fact-check workflow records across claims_reviewed and references_collected fields.","exampleAgentPrompt":"I have a batch of fact-check workflow records with channel groups and dates — can you run two reports on them: one showing how frequently each channel_group appears, and another ordering all rows by claims_reviewed? Here are up to 200 rows with fields row_id, channel_group, date, claims_reviewed, and references_collected.","exampleUseCases":[{"title":"Channel group frequency audit","prompt":"I've got 150 fact-check records from our newsroom — each has a channel_group, date, claims_reviewed, and references_collected. Can you tell me how often each channel group appears in the dataset and rank all the rows by claims_reviewed so I know which entries had the most claims?"},{"title":"References workload ranking","prompt":"Here are 80 rows from our fact-checking pipeline with row_id, channel_group, date, claims_reviewed, and references_collected. Run the category frequency report on channel_group and order the rows numerically by references_collected so we can see who's collecting the most references."},{"title":"Editorial workflow summary","prompt":"I need a quick summary of our editorial fact-check workflow data — about 60 records with channel_group and date. Give me frequency counts for each channel_group and sort all rows by claims_reviewed so I can prioritize review."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency table showing how many rows fall into each channel_group value, and (2) a numerically ordered ranking of all submitted rows by the selected field (claims_reviewed or references_collected). Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) on any row","Date field not in YYYY-MM-DD format — validation error","Invalid field selector (must be claims_reviewed or references_collected)","All numeric values null — ordering report may be empty or undefined"],"whenToPreferThis":"Choose this endpoint when you have structured fact-check workflow records and need both a category frequency breakdown by channel group and a numerically ordered ranking of rows by a numeric field in a single low-cost call. Ideal for journalism analytics, editorial dashboards, or QA pipelines processing up to 200 records at $0.01 per call without needing live lookups or external data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:37:35.312Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-analyzer-category-frequencies-numeric-row-ordering-ea3689f4"}