{"uid":"cap_Y0hIlZDTA_BmoOHQbkdTu","slug":"fact-check-workflow-numeric-row-ordering-trailing-mean-series-75dba2d9","name":"Fact Check Workflow — Numeric Row Ordering + Trailing Mean Series","description":"Fact check workflow — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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-18-115?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_-1kaElLaPxepl5lcAqRW4","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":"Runs two local analytical reports on fact-check workflow data: numeric row ordering and a trailing moving-average series for claims_reviewed or references_collected, across up to 200 rows.","exampleAgentPrompt":"Can you analyze my fact-check workflow data — I have 4 rows with claims_reviewed and references_collected values for groups A and B across October 2026 — sort them numerically and compute a trailing mean series for claims_reviewed with a window of 2?","exampleUseCases":[{"title":"Trending claims reviewed over time","prompt":"I have a week's worth of fact-check workflow records with daily claims_reviewed counts across two channel groups. Can you order the rows numerically and compute a trailing 3-row moving average for claims_reviewed so I can spot trends?"},{"title":"References collected rolling average","prompt":"Run a numeric row ordering and trailing mean analysis on my fact-check data for references_collected — I've got 10 rows from different dates and channel groups. Use a window of 4 for the moving average."},{"title":"Comparing channel group metrics","prompt":"I want to analyze my fact-check workflow data for groups A, B, and C across 20 rows — sort them by numeric order and generate a trailing mean series for claims_reviewed with a window of 5 so I can compare activity levels across groups."}],"resultDescription":"Two analytical reports: (1) the input rows sorted in numeric order, and (2) a trailing moving-average series computed over the selected field (claims_reviewed or references_collected) using the specified window size. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — returns validation error","Window size larger than number of rows — trailing mean may produce nulls or insufficient output","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 range — rejected by schema","More than 200 rows submitted — request exceeds maximum and is rejected","Missing required fields (row_id, channel_group, date) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you need purely local, offline computation on supplied fact-check workflow tabular data — specifically numeric row ordering combined with a rolling/trailing mean time series — without any external data lookups, live predictions, or professional assessments. It is cost-effective at $0.01 USDC for both reports on up to 200 rows. Prefer it over general analytics APIs when your data involves claims_reviewed and references_collected metrics in a fact-check journalism workflow context.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:11.310Z","isFirstParty":false,"canonicalSlug":"fact-check-workflow-numeric-row-ordering-trailing-mean-series-75dba2d9"}