{"uid":"cap_u0NkDmxeMt5-nlYqxUICI","slug":"time-series-completeness-exact-row-deduplication-base-100-series-4f209060","name":"Time Series Completeness: Exact Row Deduplication + Base-100 Series","description":"Time series completeness — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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-16-047?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_StChn2g0eiDiO8MsSszpE","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 generates a base-100 indexed series from time series completeness data (observed vs. expected data points) for up to 200 rows.","exampleAgentPrompt":"I have daily completeness records for two dataset groups — 'sensors' and 'logs' — with observed_points and expected_points for each date from 2025-01-01 to 2025-03-31. Can you deduplicate the rows and generate a base-100 series starting from row index 0 for the observed_points field?","exampleUseCases":[{"title":"Deduplicating sensor completeness logs","prompt":"I have 150 rows of daily completeness data for our IoT sensor pipeline — each row has a row_id, dataset_group, date, observed_points, and expected_points — but I suspect some rows were duplicated during export. Can you deduplicate them and also produce a base-100 series for observed_points starting at index 0?"},{"title":"Rebasing expected data point series","prompt":"Take my time series completeness records for the 'billing' dataset group — about 90 rows from 2024-07-01 to 2024-09-28 — and rebase the expected_points values to 100 starting from the first row, so I can compare trends across groups on a normalized scale."},{"title":"Multi-group completeness comparison","prompt":"I have completeness records for three dataset groups — 'web', 'mobile', and 'api' — totalling 180 rows with dates, observed_points, and expected_points. Please deduplicate and give me a base-100 series on observed_points anchored at index 0, so I can see how each group's completeness evolved relative to that baseline."}],"resultDescription":"Returns two analytical reports: (1) a deduplicated version of the input rows with exact duplicate entries removed, and (2) a base-100 indexed series for the specified field (observed_points or expected_points) anchored at the given base_index row, enabling normalized trend comparison across dataset groups.","failureModes":["More than 200 rows submitted — request rejected","Missing required fields (row_id, date, observed_points, expected_points) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","base_index out of range for submitted row count — error or unexpected indexing","Null values in the target field causing incomplete series generation"],"whenToPreferThis":"Choose this endpoint when you need offline, local analytical processing of time series completeness data — specifically exact row deduplication combined with base-100 series normalization — without any external lookups, predictions, or live data access. It is well-suited for data quality pipelines where you supply up to 200 rows of observed vs. expected point counts and want two structured reports (deduplication + rebased index) in a single low-cost call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:51.032Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-exact-row-deduplication-base-100-series-4f209060"}