{"uid":"cap_mcbyn0789mM_3W1HI8BIk","slug":"water-service-coverage-adjacent-row-changes-date-by-category-pivot-8f11850d","name":"Water Service Coverage — Adjacent Row Changes & Date-by-Category Pivot","description":"Water service coverage — Adjacent row changes + Date by category pivot: Adjacent row changes + 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-19-160?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_65GhFIGMd2mxzQrfqnVqu","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":"Analyzes water service coverage records by computing adjacent row changes and a date-by-category pivot table for served_households or total_households data.","exampleAgentPrompt":"I have up to 200 rows of water service coverage records with served_households and total_households per region and date — can you run two reports: one showing adjacent row changes and one showing a date-by-category pivot, using served_households as the target field?","exampleUseCases":[{"title":"Track monthly water access improvements","prompt":"I have regional water coverage data for 150 rows across group-a and group-b from Jan to Dec 2024, with served_households and total_households. Can you show me the row-over-row changes in served_households and also pivot by date and region?"},{"title":"Regional coverage gap analysis","prompt":"Run two analytical reports on this dataset of water utility coverage records — I want to see adjacent row differences and a date-by-category breakdown for total_households across our service regions."},{"title":"Audit water delivery data quality","prompt":"I need to review how served_households values shift from one record to the next across our water coverage dataset, and also see a pivot table of dates vs regions. Can you run both reports on these 80 rows?"}],"resultDescription":"Two analytical reports: (1) an adjacent row change report showing delta values between consecutive records for the selected field (served_households or total_households), and (2) a date-by-category pivot table cross-tabulating dates against region categories for up to 200 input rows. No external lookups or predictions — purely local computation on supplied data.","failureModes":["Missing required fields (row_id, region, date, served_households, total_households) returns validation error","Date not matching YYYY-MM-DD pattern causes schema rejection","More than 200 rows submitted exceeds maxItems limit","Null numeric values may produce gaps in change calculations","Payment of 0.01 USDC not completed results in 402 error"],"whenToPreferThis":"Choose this endpoint when you have structured water service coverage records (with served_households and total_households fields) and need both a sequential row-change analysis and a date-by-region pivot in a single low-cost call. Ideal for utility analysts, NGO data teams, or infrastructure monitoring agents who need quick local analytics on batch records without requiring external data sources or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:42:11.041Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-adjacent-row-changes-date-by-category-pivot-8f11850d"}