{"uid":"cap_Z7vPI-m-zfzZwkSbsYKm_","slug":"water-service-coverage-duplicate-key-report-date-by-category-pivot-af4cfe90","name":"Water Service Coverage — Duplicate Key Report + Date by Category Pivot","description":"Water service coverage — Duplicate key report + Date by category pivot: Duplicate key report + Date by category pivot 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-19-068?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_ScjAkUtY_RV8383LA4EhN","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":"Runs two local analytical reports on water service coverage data: a duplicate key detector and a date-by-region pivot table for served or total households.","exampleAgentPrompt":"Can you check my water service coverage records for duplicate row IDs and also pivot the served_households field by date and region? I have up to 200 rows with fields like row_id, region, date, served_households, and total_households.","exampleUseCases":[{"title":"Audit water coverage data for duplicate keys","prompt":"I have a dataset of water service records with row IDs, regions, dates, served_households, and total_households — can you run a duplicate key report on it to find any repeated row_ids before I import it?"},{"title":"Pivot served households by date and region","prompt":"Take my water service coverage data and create a pivot table showing served_households broken down by date and region category so I can see trends across groups over time."},{"title":"Validate and summarize total household records","prompt":"I need both a duplicate key check and a date-by-region pivot on my total_households water coverage data — here are my 150 rows with row_id, region, date, served_households, and total_households fields."}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any repeated row_id values across the supplied records, and (2) a date-by-category pivot table cross-tabulating the selected field (served_households or total_households) by date and region. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Missing required fields (row_id, region, date, served_households, total_households) causes validation error","Submitting more than 200 rows exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Empty rows array (minItems: 1) triggers an error","Null numeric values may affect pivot aggregation results","Payment failure or insufficient USDC balance prevents execution"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit water service coverage records for duplicate row identifiers AND generate a date-by-region pivot summary in a single paid call. It is purpose-built for water utility household coverage data (served_households, total_households) and handles up to 200 rows at a low flat cost. Prefer it over generic analytics tools when your data already conforms to the expected schema and you want both data quality validation and pivot summarization in one step.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:41:55.137Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-duplicate-key-report-date-by-category-pivot-af4cfe90"}