{"uid":"cap_ZyUw-bkXt4LC8KAtrh-yX","slug":"feature-availability-analytics-numeric-distribution-daily-sum-series-a4525bc2","name":"Feature Availability Analytics — Numeric Distribution & Daily Sum Series","description":"Feature availability — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series for supplied feature availability records (populated_features, expected_features). 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-10-075?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","populated_features","expected_features"],"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},"expected_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"populated_features":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_features":1,"populated_features":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_features":2,"populated_features":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_features":3,"populated_features":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_features":4,"populated_features":30}],"maxItems":200,"minItems":1},"field":{"enum":["populated_features","expected_features"],"type":"string","default":"populated_features"}}},"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_3CEzZcvpweHO9BW0SzHeH","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 daily sum time series for feature availability data (populated_features, expected_features) across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Analyze my feature availability data — I have 4 rows with dates from 2026-10-01 to 2026-10-04, dataset groups 'group-a' and 'group-b', and I want both the numeric distribution and daily sum series reports for the populated_features field.","exampleUseCases":[{"title":"Daily feature completeness trend audit","prompt":"I have a week's worth of feature availability records across two pipeline groups and I want to see how populated_features totals up each day and what the overall distribution looks like — can you run both the daily sum series and numeric distribution reports on these 7 rows for populated_features?"},{"title":"Expected vs populated features comparison","prompt":"Run the numeric distribution and daily sum series analysis on my feature availability records using expected_features as the target field — I have 50 rows with dates and dataset groups that I need to audit for coverage gaps."},{"title":"Multi-group feature availability rollup","prompt":"I've got 150 feature availability records spanning three dataset groups with dates throughout Q4, and I need both the distribution stats and daily aggregate sums for populated_features so I can spot which days had abnormal coverage."}],"resultDescription":"Two independent analytical reports: (1) a numeric distribution report summarizing the statistical spread (e.g. min, max, mean, percentiles, histogram-style bins) of the selected feature field, and (2) a daily sum series aggregating the selected field's totals by date — both computed locally from the supplied rows with no external data access.","failureModes":["Rows array is empty or missing — returns validation error","More than 200 rows submitted — rejected with max-items error","Date field does not match YYYY-MM-DD pattern — schema validation failure","populated_features or expected_features values outside ±1,000,000,000,000 — rejected","Invalid field enum value (not 'populated_features' or 'expected_features') — schema error","Payment not processed — 402 response with no report returned"],"whenToPreferThis":"Choose this endpoint when you have up to 200 feature availability records with populated/expected counts by date and group, and need both a distribution breakdown and a daily aggregate time series in one call at minimal cost ($0.01 USDC). It is a self-contained local analytics engine — ideal when you do not need live data lookup, predictions, or external enrichment, just statistical summaries of your own supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:13:09.464Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-numeric-distribution-daily-sum-series-a4525bc2"}