{"uid":"cap_DT3_16JFa9XcPHr4QmVqo","slug":"water-service-coverage-numeric-interval-filter-daily-sum-series-6753531f","name":"Water Service Coverage — Numeric Interval Filter + Daily Sum Series","description":"Water service coverage — Numeric interval filter + Daily sum series: Numeric interval filter + 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-19-125?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_IK2c1YNwsv4WLBvR7LhdQ","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":"Filters water service coverage records by a numeric interval on a chosen field and computes daily sum time series, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 water service records with served_households and total_households by region and date — can you filter for rows where served_households is between 10 and 500, then give me the daily sum series for served_households?","exampleUseCases":[{"title":"Identify under-served regions by household threshold","prompt":"I have a dataset of water service records across regions with daily served_households counts. Can you filter it to only rows where served_households falls between 50 and 300, and then show me the daily sum series for that field so I can spot which days had the lowest coverage?"},{"title":"Track daily total household trends over time","prompt":"Here are 180 rows of water coverage data by date and region. Run the numeric interval filter on total_households between 1000 and 50000, and give me the daily sum series for total_households so I can see how overall household counts trend day by day."},{"title":"Audit coverage completeness for a specific region group","prompt":"I've got water service records for group-a and group-b regions. Can you filter the records where served_households is between 0 and 25 and return both the filtered rows and the daily sum series, so I can audit which days had critically low served household numbers?"}],"resultDescription":"Two analytical reports: (1) rows from the input dataset where the selected field (served_households or total_households) falls within the specified numeric interval [minimum, maximum], and (2) a daily sum time series aggregating that field by date across all matching or input records. Results cover up to 200 input rows.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row rejection","minimum greater than maximum produces empty filter results","Missing required fields (row_id, region, date) cause validation errors","Null values in the target numeric field are excluded from sum aggregation","Payment of 0.01 USDC not completed causes request to fail with 402 status"],"whenToPreferThis":"Choose this endpoint when you have pre-collected water service coverage data (served_households, total_households) and need two simultaneous local analytical operations — numeric interval filtering and daily sum aggregation — without any live data lookup or external API calls. It is purpose-built for water/utility coverage datasets up to 200 rows and is cost-effective at $0.01 USDC for both reports together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:36:59.065Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-numeric-interval-filter-daily-sum-series-6753531f"}