{"uid":"cap_cAny8YLYbez_o4443C6xx","slug":"time-series-completeness-record-quality-audit-equal-width-histogram-caa8ecdc","name":"Time Series Completeness — Record Quality Audit + Equal-Width Histogram","description":"Time series completeness — Record quality audit + Equal-width histogram: Record quality audit + 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-16-013?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_ZxN7QkKOJGmO1JQSSkqAf","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":"Runs two local analytical reports (record quality audit and equal-width histogram) on up to 200 time series completeness rows containing observed and expected data point counts.","exampleAgentPrompt":"Can you run a record quality audit and a 10-bin equal-width histogram on my time series completeness data for the observed_points field? I have 5 rows: row-1 for dataset-alpha on 2024-01-01 with 95 observed and 100 expected, row-2 on 2024-01-02 with 80 observed and 100 expected, row-3 on 2024-01-03 with 100 observed and 100 expected, row-4 on 2024-01-04 with 60 observed and 100 expected, and row-5 on 2024-01-05 with 45 observed and 100 expected.","exampleUseCases":[{"title":"Daily pipeline completeness audit","prompt":"Audit these 8 days of pipeline data for record quality — I have observed_points and expected_points per day for two groups, 'ingest-a' and 'ingest-b', and I want a 5-bin histogram over the observed_points field so I can see the distribution at a glance."},{"title":"Sensor gap detection across groups","prompt":"I have 50 rows of sensor data across three dataset groups from October, each with a date, observed_points, and expected_points. Can you run the quality audit and a 15-bin equal-width histogram on expected_points so I can spot where sensors are underreporting?"},{"title":"Monthly data completeness summary","prompt":"Here are 120 completeness records for my analytics warehouse — one per day across several dataset groups with observed and expected point counts. Run both the record quality audit and a 20-bin histogram on the observed_points field and give me both reports."}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit flagging completeness issues, nulls, and anomalies across the supplied rows of observed_points and expected_points; and (2) an equal-width histogram distributing the selected field (observed_points or expected_points) across the requested number of bins. Both reports are computed locally using shared analytical engines with no external lookups.","failureModes":["More than 200 rows submitted — request rejected with validation error","bins value outside 1–30 range — schema validation failure","Missing required fields (row_id, date, observed_points, expected_points) in any row — row rejected or error","date field not in YYYY-MM-DD format — pattern validation failure","All values null for selected field — histogram may return empty or degenerate result","Payment failure — x402 payment not processed, request not fulfilled"],"whenToPreferThis":"Choose this endpoint when you have pre-collected time series completeness data (observed vs expected point counts per date and group) and need two fast, local statistical reports — a quality audit and a histogram — without needing live data lookup, external predictions, or professional assessment. It is cost-effective at $0.01 USDC for both reports on up to 200 rows. Prefer it over general analytics platforms when you want a lightweight, deterministic, reproducible analysis of completeness records in a single API call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:02.600Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-record-quality-audit-equal-width-histogram-caa8ecdc"}