{"uid":"cap_seJ8Qdnq7xecMCopRCLC1","slug":"reservoir-observations-string-normalisation-numeric-interval-filter-505a7295","name":"Reservoir Observations — String Normalisation + Numeric Interval Filter","description":"Reservoir observations — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-19-026?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_9psboSOG4bquY_ozR-pgA","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":"Normalises station group strings and filters reservoir observation rows by a numeric interval on stored_m3 or capacity_m3, returning two analytical reports for up to 200 supplied rows.","exampleAgentPrompt":"I have up to 200 rows of reservoir observation records with stored_m3 and capacity_m3 values — can you normalise the station_group strings and filter the rows where stored_m3 falls between 5000 and 50000, then give me the two analytical reports?","exampleUseCases":[{"title":"Drought monitoring volume range check","prompt":"I have a batch of reservoir readings from our monitoring stations — please normalise the station group names and filter the records to only show where stored_m3 is between 0 and 250000 cubic metres so I can flag low-storage sites."},{"title":"Capacity data cleaning for reporting","prompt":"Can you clean up the station_group strings in my reservoir dataset and apply an interval filter on capacity_m3 between 100000 and 500000? I need the two output reports to include in our quarterly water authority summary."},{"title":"Anomaly pre-screen on reservoir inflows","prompt":"I've got 150 reservoir observation rows and I want to normalise the station group labels, then filter to stored_m3 values between -1000 and 1000 to catch any near-zero or negative readings that might indicate sensor errors."}],"resultDescription":"Two analytical reports derived from the supplied reservoir observation rows: one covering string normalisation of station_group values, and one applying a numeric interval filter on the chosen field (stored_m3 or capacity_m3) to return only rows within the specified minimum–maximum range. No live data, predictions, or external lookups are included.","failureModes":["rows array empty or missing — validation error","more than 200 rows supplied — rejected with max-items error","invalid date format (not YYYY-MM-DD) — schema validation failure","minimum value greater than maximum value — may return empty filtered result set","stored_m3 or capacity_m3 outside ±1,000,000,000,000 bounds — schema rejection","field enum value not 'stored_m3' or 'capacity_m3' — validation error","payment not provided or insufficient — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have pre-collected reservoir observation records (stored_m3, capacity_m3) that need both string normalisation on station group labels and a numeric range filter applied in a single call, producing two local analytical reports without any external data lookup or live prediction. It is ideal for batch preprocessing of water-storage datasets up to 200 rows at low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T00:42:28.700Z","isFirstParty":false,"canonicalSlug":"reservoir-observations-string-normalisation-numeric-interval-filter-505a7295"}