{"uid":"cap_1lHbabDpAKydHup9jZJoP","slug":"time-series-completeness-analytics-grouped-numeric-summary-date-by-6ec0f5b7","name":"Time Series Completeness Analytics: Grouped Numeric Summary + Date-by-Category Pivot","description":"Time series completeness — Grouped numeric summary + Date by category pivot: Grouped numeric summary + Date by category pivot 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-16-097?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"}}},"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_3o4fmmSgIXH5_LspDc8eG","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 (observed vs expected data points) by producing two local analytical reports: a grouped numeric summary and a date-by-category pivot, for up to 200 rows.","exampleAgentPrompt":"I have a batch of time series completeness records — up to 200 rows each with a row_id, dataset_group, date, observed_points, and expected_points — can you run the grouped numeric summary and date-by-category pivot reports on them using the observed_points field?","exampleUseCases":[{"title":"IoT sensor gap detection by device group","prompt":"I have daily sensor readings for two device groups across the past week — each row has a date, a group name like 'sensors-east' or 'sensors-west', and the observed vs expected data points. Can you generate the grouped numeric summary and date-by-category pivot so I can see which groups and dates are underperforming?"},{"title":"ETL pipeline completeness audit","prompt":"Our ETL pipeline tracks observed vs expected records per pipeline category each day. I've got about 150 rows covering October with columns for row_id, dataset_group, date, observed_points, and expected_points. Run both the grouped summary and date-pivot reports on this data using expected_points as the field."},{"title":"Multi-dataset monitoring completeness review","prompt":"I need to review completeness across our five data feeds for the past month — I have rows with a date, a feed group name, and observed vs expected point counts. Can you produce the grouped numeric summary and date-by-category pivot for all 180 rows so I can spot which feeds and dates have the worst coverage?"}],"resultDescription":"Returns two analytical reports computed locally from the supplied rows: (1) a grouped numeric summary with aggregate statistics on observed_points or expected_points broken down by dataset_group, and (2) a date-by-category pivot table showing the selected field values cross-tabulated by date and dataset_group. No external lookups or predictions are made.","failureModes":["Fewer than 1 row supplied — minimum row count not met","More than 200 rows supplied — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, observed_points, expected_points) in any row","Invalid date format (must be YYYY-MM-DD)","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)","Invalid field enum value — must be 'observed_points' or 'expected_points'","Payment failure — insufficient USDC for x402 transaction"],"whenToPreferThis":"Choose this endpoint when you have tabular time series completeness data (observed vs expected points) that you want to summarize and pivot without any external data lookups, predictions, or real-time processing. It is ideal for offline or batch analytical passes on up to 200 rows where you need both a grouped statistical summary and a date-by-category pivot in a single low-cost call ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:08.218Z","isFirstParty":false,"canonicalSlug":"time-series-completeness-analytics-grouped-numeric-summary-date-by-6ec0f5b7"}