{"uid":"cap_DD4zC-Lpk7ptbsuY-Zp2F","slug":"feature-availability-analytics-numeric-distribution-trailing-mean-bcf9269e","name":"Feature Availability Analytics: Numeric Distribution + Trailing Mean Series","description":"Feature availability — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean 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-10-076?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"},"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_8-QdtHZnvjqa0RXsjAUgk","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 trailing mean time series for feature availability data (populated_features and expected_features) supplied by the caller, using local analytical engines with no external lookups.","exampleAgentPrompt":"Can you run a numeric distribution and trailing mean series analysis on my feature availability records? I have up to 100 rows with populated_features and expected_features values by date and dataset group — use a window of 7 for the trailing mean and analyze the populated_features field.","exampleUseCases":[{"title":"Feature completeness audit for ML dataset","prompt":"I have daily feature availability records for two dataset groups over the past quarter — each row has a date, populated_features count, and expected_features count. Can you give me the numeric distribution and a trailing mean series with a window of 14 days for populated_features so I can audit completeness trends?"},{"title":"Monitoring feature fill rate over time","prompt":"Run a distribution report and trailing mean series on my feature availability logs — I've got 80 rows with row_id, dataset_group, date, populated_features, and expected_features. Use a window of 5 and focus on the expected_features field so I can see how our fill rate is trending."},{"title":"Comparing feature population across groups","prompt":"I want to compare how populated_features are distributed across my dataset groups over time. I have 150 rows of feature availability data with dates and group labels — can you compute the numeric distribution and a trailing mean series with window 10 for the populated_features field?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summarizing the statistical spread of the selected feature availability field across submitted rows, and (2) a trailing mean time series computed over the specified rolling window — both derived entirely from the supplied data using local analytical engines.","failureModes":["Fewer than 1 row provided — request rejected","More than 200 rows submitted — exceeds maximum batch size","Invalid date format (must be YYYY-MM-DD) — validation error","Numeric field values outside allowed range (-1T to +1T) — validation error","Window size smaller than 2 or larger than 200 — rejected","Missing required fields (row_id, date, populated_features, expected_features) — schema error","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of feature availability records and need both a distribution summary and a rolling mean time series in a single call for a flat $0.01 USDC fee. It is ideal for lightweight, self-contained statistical analysis of feature completeness or population rate metrics when no external data lookups, predictions, or professional assessments are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:33.899Z","isFirstParty":false,"canonicalSlug":"feature-availability-analytics-numeric-distribution-trailing-mean-bcf9269e"}