{"uid":"cap_PQTISJyDj-Zkg1D1Qcymq","slug":"time-series-completeness-numeric-distribution-equal-width-histogram-babd210c","name":"Time Series Completeness — Numeric Distribution + Equal-Width Histogram","description":"Time series completeness — Numeric distribution + Equal-width histogram: Numeric distribution + Equal-width histogram for supplied time series completeness records (observed_points, expected_points). 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-16-079?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","observed_points","expected_points"],"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_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","expected_points":1,"observed_points":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","expected_points":2,"observed_points":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","expected_points":3,"observed_points":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","expected_points":4,"observed_points":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_points","expected_points"],"type":"string","default":"observed_points"}}},"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_L-9bA4MxK3fyeL7pNckGj","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 equal-width histogram for time series completeness data (observed_points vs expected_points) across up to 200 rows.","exampleAgentPrompt":"Analyze the numeric distribution and generate an equal-width histogram with 10 bins for my time series completeness records — here are 50 rows with row_id, dataset_group, date, observed_points, and expected_points fields; run the report on the observed_points field.","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I have 120 rows of daily time series completeness data with observed_points and expected_points for two dataset groups. Can you generate a numeric distribution report and a 10-bin histogram on observed_points so I can see how my data coverage is distributed?"},{"title":"Expected coverage gap profiling","prompt":"Run a histogram analysis on the expected_points field across my 80 completeness records — use 5 equal-width bins — so I can understand the shape of my expected coverage targets over this date range."},{"title":"Sensor reading completeness check","prompt":"I've got 150 rows of sensor time series completeness entries with dates from 2024-01-01 to 2024-05-30. Generate a numeric distribution and equal-width histogram with 8 bins for the observed_points column so I can spot where data gaps are concentrated."}],"resultDescription":"Returns two analytical reports sharing local engines: (1) a numeric distribution summary of the selected field (observed_points or expected_points) across the supplied rows, and (2) an equal-width histogram dividing values into the specified number of bins (1–30, default 5), showing frequency counts per bin. Input is limited to 200 rows per call.","failureModes":["More than 200 rows submitted — request rejected","bins value outside 1–30 range — validation error","Missing required row fields (row_id, date, observed_points, expected_points) — schema error","Date strings not matching YYYY-MM-DD pattern — validation error","All null values in selected field — distribution/histogram may be empty or error","Invalid field enum value (not observed_points or expected_points) — schema error"],"whenToPreferThis":"Choose this endpoint when you need fast, local (no external lookup) numeric distribution profiling and equal-width histogram bucketing for time series completeness records specifically structured with observed_points and expected_points fields. It is ideal when you want two reports (distribution + histogram) in a single $0.01 call for up to 200 rows. Prefer it over generic statistics APIs when your data is already in row-based completeness format and you want deterministic, offline-style analytics without any prediction, enrichment, or external data dependency.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:53.582Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-numeric-distribution-equal-width-histogram-babd210c"}