{"uid":"cap_RIujKo761AWCWMDqD3w5v","slug":"fact-check-workflow-string-normalisation-numeric-interval-filter-ba70379c","name":"Fact Check Workflow — String Normalisation + Numeric Interval Filter","description":"Fact check workflow — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-18-026?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_d43LcbmYVT93tRQOoVG49","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 filters rows by a numeric interval for fact-check workflow records containing claims_reviewed and references_collected, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and a numeric interval filter on my fact-check workflow records — I have about 50 rows with claims_reviewed and references_collected fields, filter claims_reviewed between 5 and 75, and give me the 2 analytical reports?","exampleUseCases":[{"title":"Filter high-volume fact-check claims","prompt":"I have 120 rows of fact-check workflow data with claims_reviewed and references_collected per channel group. Can you normalise the string fields and filter to only show rows where claims_reviewed is between 10 and 500, and generate the 2 reports?"},{"title":"Audit references collected by news channel","prompt":"Take my 80 fact-check records and run string normalisation on the channel_group field, then filter on references_collected between 1 and 50 — I need both analytical reports back to review data quality."},{"title":"Daily fact-check pipeline data cleaning","prompt":"Here are today's 200 rows of fact-check workflow entries. Please normalise the strings and filter the claims_reviewed field to the interval 0 to 100, and return the two analytical reports so I can review what passed the filter."}],"resultDescription":"Returns 2 independent analytical reports covering string-normalised fields and rows that fall within the specified numeric interval for the chosen field (claims_reviewed or references_collected), based entirely on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds maxItems limit","Invalid date format not matching YYYY-MM-DD pattern","minimum value greater than maximum value causing empty filter result","Null or missing required fields (row_id, claims_reviewed, references_collected) causing row rejection","Field enum value not one of claims_reviewed or references_collected"],"whenToPreferThis":"Choose this endpoint when you have fact-check workflow tabular data (with claims_reviewed and references_collected columns) and need both string normalisation and a numeric interval filter applied together in a single low-cost call, returning two analytical reports — especially when no live data lookup or external enrichment is needed and your dataset is 200 rows or fewer.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:17.384Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-string-normalisation-numeric-interval-filter-ba70379c"}