{"uid":"cap_Ss_z6Tv6A6wsbOZ5bCAgF","slug":"fact-check-workflow-keyed-dataset-comparison-explicit-missing-value-b17aa008","name":"Fact Check Workflow — Keyed Dataset Comparison + Explicit Missing-Value Fill","description":"Fact check workflow — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + Explicit missing-value fill 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-18-190?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel_group":{"type":"string","default":"","maxLength":80},"claims_reviewed":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"references_collected":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel_group":"group-a","claims_reviewed":10,"references_collected":1},{"date":"2026-10-02","row_id":"row-2","channel_group":"group-b","claims_reviewed":20,"references_collected":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","claims_reviewed":15,"references_collected":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","claims_reviewed":30,"references_collected":4}],"maxItems":200,"minItems":1},"field":{"enum":["claims_reviewed","references_collected"],"type":"string","default":"claims_reviewed"},"other":{"type":"array","items":{"type":"object","required":["row_id","channel_group","date","claims_reviewed","references_collected"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"references_collected":2},{"date":"2026-10-03","row_id":"row-3","channel_group":"group-a","claims_reviewed":17,"references_collected":3},{"date":"2026-10-04","row_id":"row-4","channel_group":"group-b","claims_reviewed":33,"references_collected":4}],"maxItems":200,"minItems":0},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_5dYpNUHcSIClUT6tB2NM9","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":"Compares two keyed fact-check workflow datasets (claims reviewed vs references collected) row-by-row and fills missing values, producing two analytical reports for up to 200 rows.","exampleAgentPrompt":"Compare these two batches of fact-check workflow records — one is my primary dataset and the other is the comparison set — keyed by row_id and channel_group, fill in any missing claims_reviewed values, and give me both analytical reports. I have up to 80 rows in each batch.","exampleUseCases":[{"title":"Newsroom claim verification audit","prompt":"I have two exports of our newsroom's fact-check tracking sheet from different editors — both have row_id, channel_group, date, claims_reviewed, and references_collected columns. Can you do a keyed comparison between them, fill any missing claims_reviewed values, and produce the two analytical reports so I can see where they diverge?"},{"title":"Weekly fact-check gap detection","prompt":"Here are this week's fact-check workflow records with some null entries in the references_collected field — compare them against last week's records using row_id as the key, fill in the missing values, and give me both reports so I can identify coverage gaps by channel group."},{"title":"Multi-channel fact-check performance review","prompt":"I've got two datasets of fact-check activity across channel groups A and B for October 2026 — can you run a keyed dataset comparison on claims_reviewed, fill any blanks, and return both analytical reports so I can see which groups are under-referencing their claims?"}],"resultDescription":"Returns two independent analytical reports generated by local engines: a keyed dataset comparison report showing row-by-row differences between the primary and secondary datasets (matched on row_id), and an explicit missing-value fill report detailing how null claims_reviewed or references_collected values were handled. Reports cover up to 200 rows and include per-row and per-channel-group breakdowns.","failureModes":["More than 200 rows submitted — payload rejected with validation error","Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) in any row — schema validation failure","Invalid date format (must be YYYY-MM-DD) — pattern validation error","No matching keys between primary and secondary datasets — comparison report shows zero matched rows","Payment not included or invalid x402 payment header — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need offline, deterministic keyed comparison between two structured fact-check workflow datasets without any live external lookups or model inference. It is ideal for data-quality workflows in journalism or media organizations that need to reconcile two versions of fact-check tracking records and explicitly handle nulls. At $0.01 USDC for two reports covering up to 200 rows, it is cost-efficient for batch reconciliation tasks. Prefer alternatives if you need real-time claim verification, web search, or AI-based fact assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:09:36.641Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-keyed-dataset-comparison-explicit-missing-value-b17aa008"}