{"uid":"cap_jfkfnZFrN0rCvvRdWMXwe","slug":"time-series-completeness-grouped-numeric-summary-base-100-series-b2e973d3","name":"Time Series Completeness — Grouped Numeric Summary + Base-100 Series","description":"Time series completeness — Grouped numeric summary + Base-100 series: Grouped numeric summary + 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-16-092?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_L2PZQv_Gl-WA8wNQ5l6yo","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 data (observed vs expected points) to produce a grouped numeric summary and a base-100 indexed series, across up to 200 rows split by dataset group.","exampleAgentPrompt":"I have time series completeness records for two dataset groups over the past week — each row has observed_points and expected_points for a date. Can you run a grouped numeric summary and a base-100 series indexed to the first row using observed_points for those rows?","exampleUseCases":[{"title":"Data pipeline gap audit by group","prompt":"I have daily observed and expected data point counts for two pipelines, group-a and group-b, across October. Can you give me a grouped numeric summary and a base-100 series indexed to day 0 so I can see where coverage drops?"},{"title":"Sensor coverage benchmarking","prompt":"I'm tracking how many sensor readings we actually received versus how many we expected each day across three sensor clusters. Can you summarize the completeness by cluster and index the expected_points series to the first row as base 100?"},{"title":"ETL completeness reporting","prompt":"Our ETL process logs observed and expected record counts per date and per source system. Can you run a grouped summary and a base-100 index on observed_points starting from row index 0 for the 50 rows I'm supplying?"}],"resultDescription":"Returns two reports: (1) a grouped numeric summary with statistics (e.g. mean, min, max, count) for observed_points or expected_points broken down by dataset_group; and (2) a base-100 indexed time series anchored at the specified base_index row, showing relative completeness over time. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, date, dataset_group, observed_points, expected_points) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Supplying more than 200 rows exceeds the maxItems limit","Invalid base_index (out of 0–199 range) causes parameter rejection","Null values in observed_points or expected_points may affect summary statistics","Payment of 0.01 USDC must be included or the request is rejected"],"whenToPreferThis":"Choose this endpoint when you need both a grouped statistical summary and a base-100 indexed series for time series completeness data (observed vs expected points) in a single $0.01 call. It is ideal for lightweight, offline analysis of up to 200 rows of completeness records without requiring an external analytics platform. Prefer it over general BI tools when you want a fast, cheap, structured dual-report output from pre-collected completeness data grouped by a categorical dimension.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:58.856Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-grouped-numeric-summary-base-100-series-b2e973d3"}