{"uid":"cap_nQC4x36xc8gdkCimi_vrn","slug":"reservoir-observations-record-quality-audit-date-by-category-pivot-6f5450df","name":"Reservoir Observations — Record Quality Audit + Date by Category Pivot","description":"Reservoir observations — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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-19-017?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_YE-MOkXIq8Pt3ExjU1XMr","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 local analytical reports on up to 200 reservoir observation rows: a record quality audit and a date-by-category pivot, covering stored_m3 and capacity_m3 fields.","exampleAgentPrompt":"Can you run a record quality audit and a date-by-category pivot on these reservoir observations? I have rows with row_id, station_group, date, stored_m3, and capacity_m3 — up to 200 rows — and I want to analyze the stored_m3 field.","exampleUseCases":[{"title":"Reservoir data quality check","prompt":"I have a batch of reservoir monitoring records with stored_m3 and capacity_m3 readings across multiple station groups and dates — can you run a record quality audit on them and tell me which rows have issues like missing values or anomalies?"},{"title":"Date-category pivot for water storage","prompt":"I need a pivot of my reservoir observations broken down by date and station_group for the stored_m3 field — I have about 150 rows with row IDs and dates in YYYY-MM-DD format, can you generate that report?"},{"title":"Pre-reporting data validation for reservoir ops","prompt":"Before I submit my reservoir dataset to the operations team, can you do a quality audit and date-by-category pivot on the stored_m3 records across all my station groups? I'll send you the rows now."}],"resultDescription":"Returns two reports: (1) a record quality audit flagging completeness, format issues, and anomalies across the supplied rows; and (2) a date-by-category pivot table summarizing the selected field (stored_m3 or capacity_m3) broken down by date and station_group. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds row limit","Missing required fields (row_id, station_group, date, stored_m3, capacity_m3) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Invalid field enum value (not stored_m3 or capacity_m3) causes error","Empty rows array rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 reservoir observation records and need both a data quality audit and a date-by-category pivot in a single call at minimal cost ($0.01 USDC). It is ideal for pre-processing or validating reservoir monitoring datasets before downstream reporting, with no need for live data lookups or external predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:49:13.687Z","isFirstParty":false,"canonicalSlug":"reservoir-observations-record-quality-audit-date-by-category-pivot-6f5450df"}