{"uid":"cap_D4yN-Me8VjXLyfp-Rrk-p","slug":"time-series-completeness-string-normalisation-base-100-series-74d459ba","name":"Time Series Completeness — String Normalisation + Base-100 Series","description":"Time series completeness — String normalisation + Base-100 series: String normalisation + 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-16-030?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_zpRYw9D2CLW-1Keb-tDba","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 string-normalised and base-100 indexed analytics for time series completeness data (observed vs expected points) across up to 200 rows, producing two independent reports.","exampleAgentPrompt":"Can you run string normalisation and a base-100 index analysis on my time series completeness data? I have 4 rows for dataset groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04 with observed_points values of 10, 20, 15, 30 and expected_points of 1, 2, 3, 4 — use observed_points as the field and base index 0.","exampleUseCases":[{"title":"Daily pipeline completeness benchmarking","prompt":"I have daily completeness records for two sensor pipelines from last week — observed vs expected readings — can you string-normalise those values and produce a base-100 series starting from day 0 so I can see how each pipeline drifted relative to its baseline?"},{"title":"Multi-group data gap analysis","prompt":"We have 120 rows of completeness data across 5 dataset groups spanning three months, each with observed_points and expected_points per date. Can you run the string normalisation and base-100 index report on the expected_points field with the base at row index 0?"},{"title":"QA report for ingestion monitoring","prompt":"Our data ingestion monitor logged observed vs expected point counts for every day in Q3 — about 90 rows per group. Can you produce both the string-normalised and base-100 indexed completeness reports so our QA team can see where we fell short?"}],"resultDescription":"Returns two independent analytical reports for the supplied rows: (1) a string-normalised representation of the selected time series field across all rows, and (2) a base-100 indexed series anchored at the specified base_index row, enabling trend and completeness comparison across dataset groups and dates.","failureModes":["Missing required fields (row_id, date, observed_points, expected_points) cause validation errors","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","base_index out of range (0–199) or exceeding submitted row count causes errors","Null numeric values for both observed_points and expected_points may produce incomplete analytics","Payment not received or insufficient USDC balance blocks execution"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of time series completeness records (observed vs expected counts) and need both a string-normalised view and a base-100 indexed series in a single low-cost call ($0.01 USDC). It is a self-contained local analytical engine with no external lookups, predictions, or side effects — ideal for deterministic, reproducible data quality reporting on structured completeness data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:54.766Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-string-normalisation-base-100-series-74d459ba"}