{"uid":"cap_6hPfFR31ds2S74d_hHtnt","slug":"time-series-completeness-base-100-series-two-measure-correlation-982492fb","name":"Time Series Completeness: Base-100 Series + Two-Measure Correlation","description":"Time series completeness — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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-16-165?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_vg5E1rjzIdcV-dYljPJNP","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":"Computes a base-100 indexed series and a two-measure correlation between observed_points and expected_points for up to 200 time series completeness records.","exampleAgentPrompt":"I have daily completeness records for two dataset groups from Oct 1–4 2026 — each row has an observed_points and expected_points count. Can you rebase the observed_points series to 100 starting at row index 0 and also run a two-measure correlation between observed and expected across all rows?","exampleUseCases":[{"title":"Data pipeline completeness trending","prompt":"I'm tracking daily data ingestion completeness — I have up to 50 rows each with a date, a dataset group name, how many data points we observed, and how many we expected. Can you generate a base-100 indexed series for observed_points starting at index 0 and also give me the two-measure correlation between observed and expected?"},{"title":"Multi-group completeness comparison","prompt":"I have completeness records across two dataset groups — group-a and group-b — over the last 30 days, each with observed and expected data point counts. Please rebase the expected_points series to a base-100 index and run the correlation analysis between observed and expected for all rows."},{"title":"QA audit of sensor data coverage","prompt":"We're auditing sensor data coverage for October — I have 120 rows with daily observed vs expected point counts per sensor group. Can you normalize the observed_points to a base-100 index starting at row 0 and compute the two-measure correlation between observed_points and expected_points across all rows?"}],"resultDescription":"Returns two analytical reports: (1) a base-100 indexed time series rebased from the specified row index for the chosen field (observed_points or expected_points), and (2) a two-measure correlation analysis between observed_points and expected_points across all supplied rows. No external data is fetched; all computation is performed locally on the supplied data.","failureModes":["Exceeding 200 rows causes validation failure","Missing required fields (row_id, date, observed_points, expected_points) causes rejection","Invalid date format (non-YYYY-MM-DD) causes schema validation error","base_index out of range (0–199) causes error","Null values in both observed and expected may degrade correlation reliability","Fewer than 2 rows may produce degenerate correlation results"],"whenToPreferThis":"Choose this endpoint when you have a pre-collected batch of time series completeness records (observed vs expected data points) and need both a normalized base-100 index series and a correlation measure in a single low-cost call. It is ideal for offline or periodic analytics workflows where data is already assembled and no live lookup or prediction is needed. Prefer it over general-purpose statistics APIs when you specifically need the completeness-framed dual-report output at minimal cost ($0.01 for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:37:58.550Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-base-100-series-two-measure-correlation-982492fb"}