{"uid":"cap_EUb7IjEWYaIus-Bws0B4a","slug":"reservoir-observations-string-normalisation-two-measure-correlation-65802709","name":"Reservoir Observations — String Normalisation + Two-Measure Correlation","description":"Reservoir observations — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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-19-033?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}}},"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_3kRsmy8JaAzenErpxlJlV","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 strings and computes two-measure correlation for up to 200 reservoir observation records containing stored_m3 and capacity_m3 fields.","exampleAgentPrompt":"I have up to 200 reservoir observation records with fields like row_id, station_group, date, stored_m3, and capacity_m3 — can you run string normalisation on the text fields and compute a two-measure correlation between stored_m3 and capacity_m3 across all the rows?","exampleUseCases":[{"title":"Reservoir storage capacity trend analysis","prompt":"I've got daily reservoir readings from three station groups — each row has a date, stored_m3, and capacity_m3. Can you normalise the station group strings and compute the correlation between stored volume and capacity across all 150 rows?"},{"title":"Water utility data quality and stats check","prompt":"Our water utility collected 80 reservoir observations with row IDs, station groups, dates, stored_m3, and capacity_m3 values. Please normalise the text fields and give me a two-measure correlation report on the stored and capacity numbers."},{"title":"Monthly drought monitoring dataset review","prompt":"I'm reviewing monthly reservoir data for drought monitoring — about 60 rows covering multiple station groups. Run string normalisation and a two-measure correlation between stored_m3 and capacity_m3 so I can see how tightly storage tracks capacity."}],"resultDescription":"Two analytical reports: (1) a string normalisation report cleaning station_group and other text fields across the submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between stored_m3 and capacity_m3. Both reports are generated locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — exceeds maximum batch size","Missing required fields (row_id, station_group, date, stored_m3, or capacity_m3) on any row","Invalid date format (must match YYYY-MM-DD pattern)","All stored_m3 or capacity_m3 values are null — correlation cannot be computed","Numeric values outside allowed range (-1e12 to 1e12)","Payment of 0.01 USDC not fulfilled — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you have reservoir observation data with stored_m3 and capacity_m3 columns and need both string normalisation of text fields and a two-measure correlation analysis in a single call. It is purpose-built for hydrology and water resource datasets up to 200 rows, offering two bundled analytical reports for a flat $0.01 USDC fee with no external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:36:59.064Z","isFirstParty":false,"canonicalSlug":"reservoir-observations-string-normalisation-two-measure-correlation-65802709"}