{"uid":"cap_R6pLO4kmzRi2RE2Lvz_2T","slug":"water-service-coverage-analytics-numeric-distribution-daily-sum-series-70cee269","name":"Water Service Coverage Analytics — Numeric Distribution + Daily Sum Series","description":"Water service coverage — Numeric distribution + Daily sum series: Numeric distribution + 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-19-075?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_8haDuL4N7NtRpqDPSKux2","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":"Computes a numeric distribution and a daily sum time series for water service coverage data (served_households, total_households) across up to 200 rows.","exampleAgentPrompt":"I have water service coverage records for two regions — can you run a numeric distribution and a daily sum series on the served_households field? I have 4 rows: region group-a on 2026-10-01 with served=10 total=1, group-b on 2026-10-02 with served=20 total=2, group-a on 2026-10-03 with served=15 total=3, and group-b on 2026-10-04 with served=30 total=4.","exampleUseCases":[{"title":"Regional water access gap analysis","prompt":"I have monthly water service data for 5 districts — can you run a numeric distribution and daily sum series on the served_households field so I can see coverage spread and trends? Here are 12 rows with row IDs, regions, dates in YYYY-MM-DD format, and served vs total household counts."},{"title":"Utility coverage audit before reporting","prompt":"We need to prepare a coverage report for our water authority. Can you compute a numeric distribution and daily sum series for total_households using our 150 service records? I'll provide the row_id, region, date, served_households, and total_households for each entry."},{"title":"Tracking water service rollout over time","prompt":"Can you analyze our water service rollout data — specifically the served_households field — by generating a numeric distribution and a daily sum series? I have about 80 rows spanning the past quarter, each tagged with a region, a date, and household counts."}],"resultDescription":"Two analytical reports for the specified field: (1) a numeric distribution summarizing the statistical spread of values across the supplied rows, and (2) a daily sum series aggregating the field by date. Both reports are derived entirely from the user-supplied rows using local analytical engines — no external data is fetched.","failureModes":["Missing required fields (row_id, region, date, served_households, total_households) cause validation errors","Date strings not matching YYYY-MM-DD pattern are rejected","Submitting more than 200 rows exceeds the maxItems limit","Null values in the selected numeric field may affect distribution or sum calculations","Invalid field enum value (anything other than served_households or total_households) causes rejection","Empty rows array (minItems:1 violated) returns an error"],"whenToPreferThis":"Choose this endpoint when you have tabular water service coverage data (up to 200 rows) and need both a distribution summary and a daily aggregate time series in a single low-cost call ($0.01 USDC). It is ideal for offline or batch analytical workflows where no live data lookup or external prediction is needed — just deterministic statistical computation on user-supplied records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:55.976Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-analytics-numeric-distribution-daily-sum-series-70cee269"}