{"uid":"cap_o157JkSdr0FuVeeQw5rYq","slug":"time-series-completeness-exact-row-deduplication-equal-width-histogram-474a3d27","name":"Time Series Completeness — Exact Row Deduplication + Equal-Width Histogram","description":"Time series completeness — Exact row deduplication + Equal-width histogram: Exact row deduplication + 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-16-048?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_aOFN_67e0mLzWrjNiCFjs","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":"Deduplicates rows and computes an equal-width histogram over observed_points or expected_points fields in time series completeness data (up to 200 rows, two analytical reports per call).","exampleAgentPrompt":"Can you deduplicate these time series completeness records and run an equal-width histogram on the observed_points using 10 bins? I have about 50 rows with date, row_id, dataset_group, observed_points, and expected_points fields.","exampleUseCases":[{"title":"Sensor feed completeness audit","prompt":"I have 120 rows of daily sensor completeness data with observed_points and expected_points — can you deduplicate them and show me an equal-width histogram of observed_points across 8 bins so I can see where data gaps cluster?"},{"title":"ETL pipeline completeness distribution","prompt":"We ran our ETL pipeline for 90 days and logged observed vs expected data points per dataset group each day. Can you deduplicate any repeated rows and give me a 5-bin histogram of expected_points to understand how evenly the pipeline loaded data?"},{"title":"Multi-group time series quality check","prompt":"I've got completeness records across two dataset groups — group-a and group-b — for the past 60 days. Please deduplicate the rows and generate an equal-width histogram on observed_points using 15 bins, so I can spot which completeness ranges are most common."}],"resultDescription":"Returns two analytical reports: (1) a deduplicated version of the submitted rows with exact duplicates removed, and (2) an equal-width histogram showing the distribution of the selected field (observed_points or expected_points) across the specified number of bins, with counts per bin. All analysis is performed locally on the submitted data with no external lookups.","failureModes":["Rows exceeding 200 items will be rejected — the endpoint enforces a maxItems:200 limit","Invalid date format (not YYYY-MM-DD) will fail schema validation","Missing required fields (row_id, date, observed_points, expected_points) will cause rejection","bins value outside 1–30 range will be rejected","Null values in observed_points or expected_points may affect histogram computation","Submitting an empty rows array will fail minItems:1 validation"],"whenToPreferThis":"Choose this endpoint when you need both exact duplicate row removal and a histogram distribution report on time series completeness data in a single low-cost call. It is purpose-built for completeness records (observed vs expected points per date/group), handles up to 200 rows, and returns two structured analytical outputs simultaneously. Prefer this over generic statistics tools when your data is already structured with row_id, dataset_group, date, observed_points, and expected_points fields and you need reproducible, offline analysis without external data lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:10.983Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-exact-row-deduplication-equal-width-histogram-474a3d27"}