{"uid":"cap_j5kQqWyMDp1FHdRx3yIGT","slug":"time-series-completeness-record-quality-audit-base-100-series-a4cb575f","name":"Time Series Completeness — Record Quality Audit + Base-100 Series","description":"Time series completeness — Record quality audit + Base-100 series: Record quality audit + 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-16-012?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_Yh5jtLRmYb4VdEenXZrHC","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":"Runs two analytical reports on time series completeness data: a record quality audit and a base-100 indexed series, for up to 200 rows of observed vs expected point counts.","exampleAgentPrompt":"Can you run a record quality audit and base-100 series on my completeness data? I have 4 rows: row-1 on 2026-10-01, group-a, 10 observed out of 1 expected; row-2 on 2026-10-02, group-b, 20 observed out of 2 expected; row-3 on 2026-10-03, group-a, 15 observed out of 3 expected; row-4 on 2026-10-04, group-b, 30 observed out of 4 expected — index it to row 0 using the observed_points field.","exampleUseCases":[{"title":"Daily pipeline completeness audit","prompt":"I've got a week of daily completeness records for my ETL pipeline — each row has a date, a dataset group, how many data points arrived, and how many were expected. Can you run the record quality audit and base-100 series on them using observed_points, indexed from the first row?"},{"title":"Multi-group sensor coverage check","prompt":"We have two sensor groups collecting readings, and I want to check completeness across 30 days. Here are the rows with observed and expected point counts per day per group — run the quality audit and base-100 index starting from row 0, analyzing observed_points."},{"title":"Benchmarking data collection against targets","prompt":"Can you take these 100 rows of observed vs expected data point counts across our dataset groups and dates, produce a quality audit flagging any bad records, and index the expected_points field to base 100 starting from row 0?"}],"resultDescription":"Returns two analytical reports: (1) a record quality audit that flags completeness anomalies or data issues for each row, and (2) a base-100 indexed series for the chosen field (observed_points or expected_points) anchored to the specified base row, covering up to 200 input rows across dataset groups and dates.","failureModes":["Missing required fields (row_id, date, observed_points, expected_points) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","More than 200 rows submitted exceeds the batch limit","base_index value out of range (must be 0–199) causes an error","Null values in observed_points or expected_points may affect completeness ratio calculations","Payment failure (insufficient USDC) prevents the call from completing"],"whenToPreferThis":"Choose this endpoint when you need both a record quality audit and a base-100 indexed time series from the same completeness dataset in a single call. It is ideal for data engineers and analysts who want to validate observed vs expected point counts and benchmark trends without any live lookup or external data enrichment — purely computational, offline analysis of supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:50.945Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-record-quality-audit-base-100-series-a4cb575f"}