{"uid":"cap_3UlNY_Y30V9iQzy09qOBp","slug":"water-service-coverage-grouped-numeric-summary-explicit-missing-value-4b414af0","name":"Water Service Coverage — Grouped Numeric Summary + Explicit Missing-Value Fill","description":"Water service coverage — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill 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-19-099?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_Zn5DwVxd-Io1rfqIyhiLC","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 grouped numeric summary statistics and fills missing values for water service coverage records (served_households, total_households) across up to 200 rows.","exampleAgentPrompt":"I have water service coverage records for two regions with some missing served_households values — can you group them by region, compute a numeric summary, and fill the missing served_households entries using median imputation? I'll send up to 50 rows.","exampleUseCases":[{"title":"Regional water coverage gap analysis","prompt":"I have monthly water service data for 5 regions with some null served_households values — can you group this by region, give me a numeric summary, and fill those missing values using median so I can see where coverage gaps are worst?"},{"title":"Household data cleaning before reporting","prompt":"Our water utility dataset has about 80 rows with missing total_households entries — can you fill those nulls using mean imputation and also give me a grouped summary so we can report to the city council?"},{"title":"Zero-fill water service census data","prompt":"I need to prep this water service census dataset for analysis — it has nulls in served_households across group-a and group-b regions. Can you fill all the missing values with zero and generate a grouped numeric summary for both regions?"}],"resultDescription":"Returns two analytical reports for the submitted rows: (1) a grouped numeric summary breaking down served_households or total_households statistics by region, and (2) a version of the dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports are derived from the caller-supplied data using local analytical engines with no external lookups.","failureModes":["Rows array is empty or exceeds 200 items — validation error returned","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Unrecognized fill method or field enum value — rejected with schema error","All values for the target field are null — mean/median fill may return zero or undefined","row_id missing or blank — schema requires minLength 1","Numeric values outside ±1,000,000,000,000 range — rejected by schema bounds"],"whenToPreferThis":"Choose this endpoint when you have tabular water service coverage data (served_households, total_households) organized by region and date, need both grouped aggregate statistics and missing-value imputation in a single call, and are working with datasets of up to 200 rows. It is purpose-built for water utility analytics rather than general-purpose statistical tools, and delivers two coordinated reports cheaply at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:40:44.420Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-grouped-numeric-summary-explicit-missing-value-4b414af0"}