{"uid":"cap_zKM3bD2V0xWE7K1n0EP_3","slug":"water-service-coverage-exact-row-deduplication-numeric-row-ordering-04a96e36","name":"Water Service Coverage — Exact Row Deduplication + Numeric Row Ordering","description":"Water service coverage — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering 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-19-042?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_79_TFMMXmwHYhPWLKqgOv","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":"Deduplicates and numerically orders rows of water service coverage data (served_households, total_households), producing 2 local analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you deduplicate and numerically order my water service coverage records and give me 2 reports? I have rows with row_id, region, date, served_households, and total_households — analyze the served_households field across up to 150 rows.","exampleUseCases":[{"title":"Clean up duplicate utility coverage submissions","prompt":"I have a dataset of water service coverage records submitted from multiple regional offices and I suspect there are duplicate rows. Can you deduplicate them and sort them numerically, then give me 2 reports on the served_households field? I'll provide up to 120 rows with row_id, region, date, served_households, and total_households."},{"title":"Ordered baseline report for household water access","prompt":"I need to order my water coverage data numerically and check for exact duplicate rows before submitting to our ministry report. Please process these 80 rows of served_households and total_households data and return 2 analytical reports."},{"title":"Pre-analysis data quality check for water survey","prompt":"Before I run my analysis, can you deduplicate and numerically order my water service survey data? I have about 200 rows with region, date, served_households, and total_households — I want to focus on the total_households field and get 2 clean reports back."}],"resultDescription":"Two independent analytical reports derived from the supplied water service coverage rows: one applying exact row deduplication and one applying numeric row ordering, both computed locally without external lookups. Reports reflect the selected field (served_households or total_households) across up to 200 input rows.","failureModes":["Input exceeds 200 rows — request will be rejected","Missing required fields (row_id, region, date, served_households, total_households) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Numeric values outside allowed range (-1e12 to 1e12) are rejected","Empty rows array (minItems: 1) causes failure","Invalid field enum value (not served_households or total_households) causes error"],"whenToPreferThis":"Choose this endpoint when you need to programmatically deduplicate and numerically order water service coverage records (served_households or total_households) for up to 200 rows and require two independent local analytical reports at minimal cost. Ideal for data preparation pipelines, utility reporting workflows, or pre-analysis data quality checks where no external lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:49:55.720Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-exact-row-deduplication-numeric-row-ordering-04a96e36"}