{"uid":"cap_kHmfbY_57QCCWTV-ZzUuR","slug":"water-service-coverage-string-normalisation-daily-sum-series-ea92feb3","name":"Water Service Coverage — String Normalisation + Daily Sum Series","description":"Water service coverage — String normalisation + Daily sum series: String normalisation + Daily sum series for supplied water service coverage records (served_households, total_households). 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-economics-19-027?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","region","date","served_households","total_households"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_households":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"served_households":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","total_households":1,"served_households":10},{"date":"2026-10-02","region":"group-b","row_id":"row-2","total_households":2,"served_households":20},{"date":"2026-10-03","region":"group-a","row_id":"row-3","total_households":3,"served_households":15},{"date":"2026-10-04","region":"group-b","row_id":"row-4","total_households":4,"served_households":30}],"maxItems":200,"minItems":1},"field":{"enum":["served_households","total_households"],"type":"string","default":"served_households"}}},"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_TsqI3jPAmJVhOd5pf2HWY","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 region strings and computes daily sum time series for water service coverage data (served_households, total_households) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have a batch of water service coverage records — up to 50 rows, each with a row_id, region name, date, served_households, and total_households — can you normalize the region strings and give me a daily sum series for served_households?","exampleUseCases":[{"title":"Daily served-household totals by date","prompt":"Here are 120 rows of water utility coverage data with region names, dates, and served_households counts — please normalize the region strings and compute a daily sum series for served_households so I can see totals per day."},{"title":"Total household aggregation for coverage audit","prompt":"I need to audit our water service coverage. I have 80 records with row_id, region, date, and total_households — can you normalize the region labels and produce a daily sum series for total_households?"},{"title":"Multi-region string cleanup with time series","prompt":"Our dataset has inconsistent region name formatting across 200 water coverage rows — can you normalize those strings and also give me a daily sum series for served_households so I can spot gaps in coverage over time?"}],"resultDescription":"Two analytical reports: (1) a string-normalisation report cleaning and standardising the region field across all submitted rows, and (2) a daily sum series report aggregating the selected numeric field (served_households or total_households) by date — all computed locally from the supplied data, no external lookups.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, region, date, served_households, total_households) cause validation errors","Date strings not matching YYYY-MM-DD pattern rejected","Null or out-of-range numeric values may be excluded from sum series","Invalid field enum value (not served_households or total_households) causes rejection","Payment not provided or insufficient — x402 payment required at $0.01 USDC"],"whenToPreferThis":"Choose this endpoint when you have water service coverage tabular data (up to 200 rows) and need both region string normalisation and a daily sum time series in a single $0.01 call — ideal for lightweight offline analytics without needing a live database, prediction, or external data enrichment service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:35:01.642Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-string-normalisation-daily-sum-series-ea92feb3"}