{"uid":"cap_T0bN9M97PC3mX84PJUXl_","slug":"time-series-completeness-numeric-interval-filter-equal-width-histogram-5ee1312c","name":"Time Series Completeness — Numeric Interval Filter + Equal-Width Histogram","description":"Time series completeness — Numeric interval filter + Equal-width histogram: Numeric interval filter + 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-16-129?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_BHC4usIKvSFsgjOguryjl","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":"Filters time series completeness records by a numeric interval and computes an equal-width histogram for either observed_points or expected_points, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 daily time series completeness records with observed_points and expected_points — can you filter them to only rows where observed_points is between 0 and 100, and also give me an equal-width histogram with 10 bins for the observed_points field?","exampleUseCases":[{"title":"Data pipeline completeness audit","prompt":"I've got completeness logs for my data pipeline — each row has a date, a dataset_group, observed_points and expected_points. Can you filter to rows where expected_points falls between 50 and 500, and give me a 5-bin histogram of expected_points so I can see the distribution?"},{"title":"Anomaly detection in sensor data","prompt":"Here are 200 rows of sensor completeness records. I want to see which ones have observed_points in the range 10 to 80, and I need an equal-width histogram with 8 bins on observed_points to spot where data gaps are clustering."},{"title":"Group-level completeness comparison","prompt":"I'm comparing completeness across two dataset groups — group-a and group-b — with daily records over the last quarter. Can you run the numeric interval filter (minimum 0, maximum 1000) and a 15-bin histogram on observed_points for all 120 rows?"}],"resultDescription":"Returns two analytical reports: (1) a numeric interval filter report listing rows where the selected field (observed_points or expected_points) falls within the specified minimum–maximum range, and (2) an equal-width histogram report showing bin edges, bin counts, and distribution statistics across up to 30 bins — both computed locally from the supplied data without any external lookup.","failureModes":["More than 200 rows submitted — request rejected with maxItems validation error","bins value out of range (must be 1–30) — validation error returned","Row missing required fields (row_id, date, observed_points, expected_points) — schema validation failure","date field not matching YYYY-MM-DD pattern — validation error","minimum greater than maximum — may produce empty filter results with no error","field enum value not 'observed_points' or 'expected_points' — validation error"],"whenToPreferThis":"Choose this endpoint when you have time series completeness records (observed vs expected data points) and need both a numeric range filter and a histogram distribution in a single low-cost call. It is ideal for data quality audits, pipeline monitoring reviews, and exploratory analysis of completeness metrics without needing external data sources or live lookups. At $0.01 USDC for two reports on up to 200 rows, it is cost-effective for batch analytical summaries of supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:59.256Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-numeric-interval-filter-equal-width-histogram-5ee1312c"}