{"uid":"cap_oDpBOYlg3nlfbJeWdq0Ze","slug":"time-series-completeness-duplicate-key-report-base-100-series-a0208908","name":"Time Series Completeness — Duplicate Key Report + Base-100 Series","description":"Time series completeness — Duplicate key report + Base-100 series: Duplicate key report + 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-16-063?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_KwX-2CYpoX3Z_NpvB34lA","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 records to produce a duplicate key report and a base-100 indexed series for up to 200 rows.","exampleAgentPrompt":"Can you run a duplicate key check and generate a base-100 series on my time series completeness data — I have rows with dataset_group, date, observed_points, and expected_points fields, base the index on row 0, and use observed_points as the analysis field?","exampleUseCases":[{"title":"Audit pipeline data completeness duplicates","prompt":"I have a list of daily completeness records for my ETL pipelines — each row has a date, a dataset group, and observed vs expected data points. Can you check this batch of 50 rows for any duplicate row IDs or date-group combinations, and also give me a base-100 series starting from row 0 for observed_points?"},{"title":"Rebase sensor coverage metrics","prompt":"I'm tracking sensor coverage completeness across two groups over the past month — can you take my 30-row dataset of observed and expected readings and produce a base-100 indexed series anchored to the first row so I can compare trends, and flag any duplicates in the process?"},{"title":"Data quality report for completeness logs","prompt":"Before I hand off this completeness log to my team, can you scan these 120 rows — each with a row_id, dataset_group, date, observed_points, and expected_points — for any duplicate keys, and generate a base-100 series using expected_points starting from index 0?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any rows with repeated key combinations across the submitted time series completeness records, and (2) a base-100 indexed series for the selected field (observed_points or expected_points), rebased relative to the specified base_index row. Both reports are computed locally from submitted data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — rejected by schema validation","Invalid date format (not YYYY-MM-DD) — schema pattern validation failure","base_index out of range (>= number of submitted rows) — computation error","null values in observed_points or expected_points may affect base-100 computation","Missing required fields (row_id, date, dataset_group) — request rejected","Payment failure via x402 protocol — endpoint returns 402"],"whenToPreferThis":"Choose this endpoint when you need both a duplicate key audit and a base-100 rebased series in a single paid call on time series completeness data (observed vs expected points). It is ideal for data quality workflows where you need to detect repeated row identifiers or date-group combinations and simultaneously normalize a metric series to a baseline index, all within a batch of up to 200 rows. Prefer this over manual deduplication or separate reindexing scripts when you want a low-cost ($0.01 USDC), self-contained analytical result without any external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:38:28.198Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-duplicate-key-report-base-100-series-a0208908"}