{"uid":"cap_VFRt_j5wLkVNEFv6tQmHj","slug":"record-routing-analytics-numeric-distribution-trailing-mean-series-d4e6eaf6","name":"Record Routing Analytics — Numeric Distribution + Trailing Mean Series","description":"Record routing — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied record routing records (accepted_records, rejected_records). 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-19-076?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","accepted_records","rejected_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"accepted_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"rejected_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","accepted_records":10,"rejected_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","accepted_records":20,"rejected_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","accepted_records":15,"rejected_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","accepted_records":30,"rejected_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["accepted_records","rejected_records"],"type":"string","default":"accepted_records"},"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_uOM0B25pf71WZQUFnw2P5","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":"Computes numeric distribution statistics and a trailing mean time series for accepted_records and rejected_records fields across up to 200 record routing rows.","exampleAgentPrompt":"Can you run a numeric distribution and trailing mean series analysis on my record routing data — I have 50 rows with accepted_records and rejected_records per date, using a window of 7, and I want the analysis focused on accepted_records?","exampleUseCases":[{"title":"ETL pipeline acceptance rate review","prompt":"I have daily record routing logs for the past 3 months with accepted and rejected counts per dataset group — can you compute the numeric distribution and a trailing mean series with a window of 14 for accepted_records so I can spot trends in our ingestion pipeline?"},{"title":"Data quality monitoring for rejected records","prompt":"Run a distribution and rolling mean analysis on our rejected_records field across 120 rows of record routing data, using a trailing window of 5, so I can see where rejection spikes are happening across our dataset groups."},{"title":"Comparing two dataset groups statistically","prompt":"I've got record routing rows split between two dataset groups over the last 200 days — can you give me the numeric distribution and trailing mean for accepted_records with a window of 10 so I can compare how each group is performing?"}],"resultDescription":"Returns two analytical reports for the specified field: (1) a numeric distribution breakdown (e.g. min, max, mean, percentiles, histogram-like statistics) and (2) a trailing mean time series computed over the user-specified window size, both derived locally from the supplied rows without any external lookup or prediction.","failureModes":["Fewer than 1 row supplied — rejected by minItems constraint","More than 200 rows supplied — rejected by maxItems constraint","Invalid date format (not YYYY-MM-DD) — schema validation failure","Null values in accepted_records or rejected_records may affect distribution calculation","Window size larger than number of rows may produce truncated or empty trailing mean series","Missing required fields (row_id, date, dataset_group) cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of record routing data with accepted/rejected counts and need both a statistical distribution profile and a smoothed trailing mean time series in a single low-cost call ($0.01 USDC). It is ideal for lightweight, self-contained analytics on ETL or data pipeline metrics without needing an external data warehouse or live system.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:51:30.042Z","isFirstParty":false,"canonicalSlug":"record-routing-analytics-numeric-distribution-trailing-mean-series-d4e6eaf6"}