{"uid":"cap_QTwdxgUsHsRxyN7VM-Tjv","slug":"data-reconciliation-string-normalisation-trailing-mean-series-a698e105","name":"Data Reconciliation — String Normalisation + Trailing Mean Series","description":"Data reconciliation — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied data reconciliation records (source_total, target_total). 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-analytics-11-028?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_total","target_total"],"type":"string","default":"source_total"},"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_0HYl-NYGxDdz8WZM6JLc8","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 supplied reconciliation data: string normalisation of row identifiers and a trailing mean series over source/target totals, for up to 200 rows.","exampleAgentPrompt":"I have 50 reconciliation rows with source_total and target_total values across two dataset groups for October 2026 — can you normalise the row ID strings and compute a trailing mean over source_total with a window of 5?","exampleUseCases":[{"title":"Monthly finance reconciliation smoothing","prompt":"I've got 120 rows of month-end reconciliation data with source and target totals for November 2025 across three groups — can you run string normalisation on the row labels and compute a trailing mean on target_total with a window of 7?"},{"title":"Detecting label inconsistencies in ETL output","prompt":"Our ETL pipeline produced 80 reconciliation records with messy row_id strings across two dataset groups for Q3 2025 — please normalise the strings and give me a trailing mean series on source_total using a window of 4 so I can spot anomalies."},{"title":"Rolling average for daily data feed comparison","prompt":"I have 30 daily rows for January 2026 comparing source and target totals for a single dataset group — run string normalisation on the row IDs and give me the trailing mean for source_total with a window of 3."}],"resultDescription":"Returns two analytical reports: (1) string-normalised versions of the row identifier fields across the supplied records, and (2) a trailing mean series computed over the chosen field (source_total or target_total) using the specified window size, for up to 200 input rows. No external lookups or live data are used.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, dataset_group, source_total, target_total) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Window size outside 2–200 range is rejected","Non-numeric values in source_total or target_total fields cause parsing errors","Fewer rows than the window size may produce incomplete trailing mean output"],"whenToPreferThis":"Choose this endpoint when you need two bundled local analytical operations — string normalisation and trailing mean computation — applied to your own supplied reconciliation records without any external data fetching or live predictions. It is cost-effective at $0.01 USDC for both reports on up to 200 rows. Prefer it over general-purpose analytics when the input schema (source_total, target_total, dataset_group, date, row_id) matches your reconciliation data structure exactly.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:16.084Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-string-normalisation-trailing-mean-series-a698e105"}