{"uid":"cap_3ovRbz-BgKrShYFshnctY","slug":"fact-check-workflow-string-normalisation-numeric-row-ordering-e4622555","name":"Fact Check Workflow — String Normalisation + Numeric Row Ordering","description":"Fact check workflow — String normalisation + Numeric row ordering: String normalisation + 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-18-025?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_NYpO7guDlsOvhpjH9Vfa6","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":"Normalises string fields and applies numeric row ordering to fact-check workflow records (claims_reviewed, references_collected) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Take my fact-check workflow records — rows for channel groups A and B from October 2026 with claims_reviewed and references_collected counts — normalise the string fields and sort the rows numerically by claims_reviewed, then give me both analytical reports.","exampleUseCases":[{"title":"Editorial team weekly claims review","prompt":"I have 50 rows of fact-check records from our newsroom channels for last month, each with claims_reviewed and references_collected counts. Can you normalise the channel group names and sort the rows by claims_reviewed so I can see which channels processed the most claims?"},{"title":"References audit for fact-check pipeline","prompt":"Here are 120 rows of fact-check workflow data with dates, channel groups, and references_collected values. Please normalise the strings and order the rows numerically by references_collected — I need both analytical reports output."},{"title":"Multi-channel claim volume ranking","prompt":"I've got fact-check records across 4 channel groups from Q3, up to 200 rows total, with claims_reviewed and references_collected fields. Run string normalisation and numeric row ordering on them using claims_reviewed as the sort field and give me the two reports."}],"resultDescription":"Two independent analytical reports covering: (1) normalised string representations of channel_group and related string fields, and (2) rows reordered numerically by the selected field (claims_reviewed or references_collected). No external lookups or predictions are included; all analysis is performed on the supplied data.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, claims_reviewed, references_collected) cause validation errors","Date field not matching YYYY-MM-DD pattern causes schema rejection","Null numeric values may affect ordering results","Invalid enum value for field selector returns error"],"whenToPreferThis":"Choose this endpoint when you need offline, deterministic string normalisation and numeric row ordering specifically for fact-check workflow records (claims_reviewed, references_collected) at low cost ($0.01 for 2 reports, up to 200 rows). Prefer it over general-purpose analytics services when your data fits the fact-check domain schema and you need two bundled reports without external lookups or live data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:36.244Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-string-normalisation-numeric-row-ordering-e4622555"}