{"uid":"cap_vP7aiv8EkW38Kuf4A2lCL","slug":"time-series-completeness-duplicate-key-report-equal-width-histogram-11c05a6b","name":"Time Series Completeness — Duplicate Key Report + Equal-Width Histogram","description":"Time series completeness — Duplicate key report + Equal-width histogram: Duplicate key report + 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-16-064?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_4MRCiiAJ9lFSs2FIUp9Y7","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":"Analyzes time series completeness records (observed_points, expected_points) to produce a duplicate key report and an equal-width histogram for up to 200 rows.","exampleAgentPrompt":"Run a duplicate key report and a 10-bin equal-width histogram on these time series completeness records I have for dataset groups 'sensor-a' and 'sensor-b' — use the observed_points field for the histogram.","exampleUseCases":[{"title":"Audit sensor data completeness logs","prompt":"I have 150 daily completeness records for my IoT sensor groups with observed_points and expected_points — can you run a duplicate key check and a 10-bin histogram on the observed_points to see if any dates are duplicated and how the data is distributed?"},{"title":"Validate ETL pipeline completeness tracking","prompt":"My ETL pipeline logs expected vs observed data points each day by dataset group. Can you check these 80 rows for duplicate row IDs and generate an equal-width histogram with 5 bins on the expected_points field?"},{"title":"Monitor data feed completeness over time","prompt":"Here are 200 rows of daily completeness records for our data feeds across multiple groups — run a duplicate key report and a 15-bin histogram on observed_points so I can spot any repeated entries and understand the distribution."}],"resultDescription":"Returns two analytical reports: (1) a duplicate key report identifying rows with repeated row_id or date/dataset_group combinations, and (2) an equal-width histogram showing the frequency distribution of the selected field (observed_points or expected_points) across the specified number of bins. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes rejection","bins value outside 1–30 range returns a validation error","Empty rows array is not accepted (minItems: 1)","Missing required fields (row_id, dataset_group, date, observed_points, expected_points) per row causes schema validation failure","Non-numeric or out-of-range values for observed_points or expected_points may be rejected"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously check for duplicate keys and understand the statistical distribution of completeness metrics across a time series dataset — ideal for data quality audits on completeness tracking records with up to 200 rows. Prefer this over single-report alternatives when both duplicate detection and histogram analysis are needed in one call at low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:46.212Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-duplicate-key-report-equal-width-histogram-11c05a6b"}