{"uid":"cap_kDbAgE4bJ2X-WqWORz8yc","slug":"water-service-coverage-string-normalisation-grouped-numeric-summary-2024dac4","name":"Water Service Coverage — String Normalisation + Grouped Numeric Summary","description":"Water service coverage — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-19-023?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_L7PNlzCYvN7-oAH4XlNAJ","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/date strings and produces grouped numeric summaries (count, min, max, mean, etc.) for water service coverage data across served_households and total_households fields.","exampleAgentPrompt":"I have 150 rows of water service coverage records with region, date, served_households, and total_households — can you normalise the region strings and give me a grouped numeric summary of served_households across all those regions?","exampleUseCases":[{"title":"Regional water access reporting","prompt":"I've got records for 80 regions showing served and total households for Q3 — can you normalise the region names and summarise served_households grouped by region so I can see coverage disparities?"},{"title":"Utility data quality audit","prompt":"We received a batch of 120 water service records from our field teams; can you clean up the region strings and give me a grouped numeric breakdown of total_households so I can spot any anomalies?"},{"title":"Coverage gap analysis for infrastructure planning","prompt":"Here are 200 rows of household water data across multiple districts — normalise the region labels and compute grouped stats on served_households so we can identify which areas have the lowest coverage."}],"resultDescription":"Returns two reports sharing the same input rows: (1) a string-normalisation report cleaning region and date fields, and (2) a grouped numeric summary (e.g. count, mean, min, max, sum) for the chosen field (served_households or total_households) broken down by region. Up to 200 rows processed per call.","failureModes":["Input exceeds 200 rows — request rejected","Missing required fields (row_id, region, date, served_households, total_households) — validation error","Malformed date format (not YYYY-MM-DD) — validation error","All numeric values null for chosen field — summary may return empty or null statistics","Payment not included or insufficient — 402 response requiring 0.01 USDC"],"whenToPreferThis":"Choose this endpoint when you have tabular water service coverage data (up to 200 rows) and need both string normalisation of region/date fields and grouped numeric statistics in a single low-cost call ($0.01 USDC). Ideal for offline batch analytics where no live lookup, prediction, or external data enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:39:16.457Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-string-normalisation-grouped-numeric-summary-2024dac4"}