{"uid":"cap_V4NHMvmJeuYIUGTi1L-q7","slug":"data-freshness-analytics-numeric-distribution-daily-sum-series-fb31b658","name":"Data Freshness Analytics: Numeric Distribution + Daily Sum Series","description":"Data freshness — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series for supplied data freshness records (age_minutes, record_count). 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-06-075?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","age_minutes","record_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"age_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"record_count":{"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","age_minutes":10,"record_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","age_minutes":20,"record_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","age_minutes":15,"record_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","age_minutes":30,"record_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["age_minutes","record_count"],"type":"string","default":"age_minutes"}}},"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_zXuPWvcy1JFnPtEclrmnL","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 a numeric distribution report and a daily sum time series for data freshness records (age_minutes, record_count) supplied by the caller — up to 200 rows, two reports per call.","exampleAgentPrompt":"Can you run a numeric distribution and daily sum series on these data freshness records? I have rows with date, age_minutes, and record_count for two groups — 'group-a' and 'group-b' — and I want to analyze the age_minutes field across up to 200 rows.","exampleUseCases":[{"title":"ETL pipeline freshness audit","prompt":"I have freshness records from my ETL pipeline — each row has a date, dataset group, age_minutes, and record_count. Can you give me both a numeric distribution and a daily sum series for age_minutes so I can see how stale data is accumulating?"},{"title":"Data quality dashboard reporting","prompt":"I need two analytical reports on my data freshness logs: a distribution of record_count values and a daily sum series broken out by date. Here are my 150 rows across three dataset groups — can you run that for me?"},{"title":"Multi-group staleness comparison","prompt":"I want to compare how fresh data is across my 'warehouse' and 'streaming' dataset groups — can you compute a numeric distribution and daily sum series on the age_minutes field for these freshness records I'm sending over?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution breaking down the selected field (age_minutes or record_count) into frequency/distribution buckets, and (2) a daily sum time series aggregating the selected field by date — both computed locally from the supplied rows without any external lookup.","failureModes":["More than 200 rows supplied — endpoint enforces a maxItems:200 limit","Missing required fields (row_id, dataset_group, date, age_minutes, record_count) cause validation errors","Invalid date format (must match YYYY-MM-DD pattern) causes row rejection","Null values in age_minutes or record_count are accepted but may affect distribution output","Payment failure (insufficient USDC or x402 protocol error) blocks execution"],"whenToPreferThis":"Choose this endpoint when you need both a numeric distribution and a daily sum time series for data freshness metrics in a single low-cost call ($0.01 USDC for both reports). It is best suited for offline or batch analytical use cases where data is already collected and you want quick statistical summaries without any live lookup, prediction, or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T07:25:48.498Z","isFirstParty":false,"canonicalSlug":"data-freshness-analytics-numeric-distribution-daily-sum-series-fb31b658"}