{"uid":"cap_zJY3IWXZ8IecqAWw6LFgu","slug":"reservoir-observations-record-quality-audit-grouped-numeric-summary-8b983061","name":"Reservoir Observations — Record Quality Audit + Grouped Numeric Summary","description":"Reservoir observations — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary for supplied reservoir observations records (stored_m3, capacity_m3). 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-weather-19-005?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","stored_m3","capacity_m3"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"stored_m3":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"capacity_m3":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","stored_m3":10,"capacity_m3":1,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","stored_m3":20,"capacity_m3":2,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","stored_m3":15,"capacity_m3":3,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","stored_m3":30,"capacity_m3":4,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["stored_m3","capacity_m3"],"type":"string","default":"stored_m3"}}},"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_De_O-9Vwh57xLC6uQ3yAy","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 supplied reservoir observation rows: a record quality audit and a grouped numeric summary of stored_m3 or capacity_m3 values, for up to 200 rows.","exampleAgentPrompt":"Can you audit the data quality and produce a grouped numeric summary for these reservoir observation records — I have up to 50 rows with stored_m3 and capacity_m3 values across several station groups, and I want the summary focused on stored_m3?","exampleUseCases":[{"title":"Water authority daily data validation","prompt":"I just exported 120 reservoir observation records from our monitoring system with stored_m3 and capacity_m3 readings across 8 station groups — can you run a quality audit to flag bad records and give me a grouped numeric summary of stored_m3 by station group?"},{"title":"Pre-analysis data hygiene check","prompt":"Before I run my hydrological model, can you check these 80 reservoir rows for data quality issues and also summarize the capacity_m3 values grouped by station so I can spot any outliers?"},{"title":"Monthly reservoir reporting","prompt":"I need two quick reports on this month's reservoir data — a record quality audit and a grouped summary of stored_m3 by station group — I have 45 rows covering three reservoir sites."}],"resultDescription":"Returns two reports: (1) a record quality audit identifying issues such as missing values, out-of-range figures, or malformed dates across the supplied rows; and (2) a grouped numeric summary (e.g. min, max, mean, count) for the selected numeric field (stored_m3 or capacity_m3), aggregated by station_group.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, station_group, date, stored_m3, capacity_m3) cause validation errors","Invalid date format (non-YYYY-MM-DD) triggers schema rejection","All-null numeric fields may produce empty or degenerate summary statistics","Submitting zero rows returns an error due to minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have raw reservoir observation data (stored_m3, capacity_m3) and need both a data quality audit and a grouped numeric summary in a single low-cost call, without requiring external lookups, live sensor feeds, or predictive modeling. It is ideal for pre-processing pipelines, reporting workflows, or data validation steps before feeding data into downstream hydrological models.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:52:44.835Z","isFirstParty":false,"canonicalSlug":"reservoir-observations-record-quality-audit-grouped-numeric-summary-8b983061"}