{"uid":"cap_daFIM1n9phTam-fp0XI0o","slug":"data-freshness-numeric-distribution-equal-width-histogram-62a5fe39","name":"Data Freshness — Numeric Distribution & Equal-Width Histogram","description":"Data freshness — Numeric distribution + Equal-width histogram: Numeric distribution + Equal-width histogram 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-06-079?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_Yq0CGOs8GssjCm_9T4Dsv","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":"Generates a numeric distribution report and an equal-width histogram for data freshness records (age_minutes and/or record_count fields), using local analytical engines on up to 200 supplied rows.","exampleAgentPrompt":"Analyze the distribution of age_minutes for these 12 data freshness records across 8 equal-width bins: [row-1, 2026-10-01, group-a, age_minutes=10, record_count=1], [row-2, 2026-10-02, group-b, age_minutes=45, record_count=5], ... — give me both the numeric distribution and the histogram.","exampleUseCases":[{"title":"Freshness audit for data pipeline","prompt":"I have 50 freshness records from our ETL pipeline — can you break down the age_minutes field into 10 equal-width histogram bins and show me the numeric distribution so I can see where our data is going stale?"},{"title":"Record count spread analysis","prompt":"Here are 80 monitoring rows from my dataset groups — please analyze the distribution of record_count using 6 bins and show me both the numeric summary and the equal-width histogram."},{"title":"Data quality review by dataset group","prompt":"I need to understand how fresh the data in dataset group 'inventory-feed' is. I have 30 rows with age_minutes values — can you run the numeric distribution and a 5-bin equal-width histogram on them?"}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, count of nulls) for the selected field (age_minutes or record_count), and (2) an equal-width histogram showing bin boundaries and record frequencies. No external data is fetched; all computation is done locally on the submitted rows.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required row fields (row_id, dataset_group, date, age_minutes, record_count) causes schema rejection","Requesting 0 or more than 30 bins returns a validation error","All-null values for the selected field may produce degenerate or empty histogram","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Extremely large or small numeric values at the allowed boundary may cause edge-case bin behavior"],"whenToPreferThis":"Choose this endpoint when you need a quick, low-cost statistical summary (numeric distribution + equal-width histogram) of data freshness metrics (age_minutes or record_count) on a small-to-medium dataset (up to 200 rows) without needing live lookups, predictions, or external data. It is ideal for offline data quality audits, pipeline monitoring dashboards, and freshness reporting where the data is already in hand and only local analytical computation is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:23.701Z","isFirstParty":false,"canonicalSlug":"data-freshness-numeric-distribution-equal-width-histogram-62a5fe39"}