{"uid":"cap_KCQH6epuE0R98RrWWgQl0","slug":"water-service-coverage-keyed-dataset-comparison-explicit-missing-30adc0c9","name":"Water Service Coverage — Keyed Dataset Comparison + Explicit Missing-Value Fill","description":"Water service coverage — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + 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-19-190?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}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_households":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"served_households":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","total_households":1,"served_households":10},{"date":"2026-10-02","region":"group-b","row_id":"row-2","total_households":2,"served_households":20},{"date":"2026-10-03","region":"group-a","row_id":"row-3","total_households":3,"served_households":15},{"date":"2026-10-04","region":"group-b","row_id":"row-4","total_households":4,"served_households":30}],"maxItems":200,"minItems":1},"field":{"enum":["served_households","total_households"],"type":"string","default":"served_households"},"other":{"type":"array","items":{"type":"object","required":["row_id","region","date","served_households","total_households"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21},{"date":"2026-10-03","region":"group-a","row_id":"row-3","total_households":3,"served_households":17},{"date":"2026-10-04","region":"group-b","row_id":"row-4","total_households":4,"served_households":33}],"maxItems":200,"minItems":0},"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_eUjZE3Fe0_sX6vp1FhDmh","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":"Compares two water service coverage datasets by row key and fills explicit missing values in served_households or total_households fields, returning 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have two sets of water service coverage records for our regional districts — up to 200 rows each with row_id, region, date, served_households, and total_households — can you compare them by row key and fill in any missing served_households values, then give me 2 analytical reports?","exampleUseCases":[{"title":"Monthly water coverage reconciliation","prompt":"I have two monthly water coverage reports for our districts — one from field teams and one from the billing system — each with row_id, region, date, served_households, and total_households. Can you compare them side by side by row key and fill any missing served_households values? I need 2 analytical reports back."},{"title":"Audit missing household counts","prompt":"Our water utility dataset has some null total_households entries across about 150 rows. Can you run a keyed comparison against our reference dataset and explicitly fill those missing total_households values, giving me 2 reports on what changed?"},{"title":"Regional coverage data cross-check","prompt":"We collected water service coverage data from two independent surveyors — both have the same row_ids, regions, and dates but different served_households figures. Can you compare the two datasets row by row, fill in any gaps in served_households, and produce 2 reports summarizing the differences?"}],"resultDescription":"Two analytical reports covering: (1) a keyed comparison of the primary and secondary datasets identifying row-level differences in the selected field, and (2) an explicit missing-value fill summary showing which rows had null values replaced and with what values — for up to 200 rows of water service coverage data.","failureModes":["Missing required row fields (row_id, region, date) returns a validation error","More than 200 rows submitted exceeds the row limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Empty rows array returns an error","Mismatched row_ids between primary and comparison datasets may result in unmatched comparisons","Payment failure via x402 protocol blocks request processing"],"whenToPreferThis":"Choose this endpoint when you have two structured water service coverage datasets you need to reconcile or compare by row key, and you want explicit missing-value filling for served_households or total_households — all in a single low-cost ($0.01 USDC) call that returns 2 reports. Prefer this over general data tools when your data conforms exactly to the water-coverage schema (row_id, region, date, served_households, total_households) and you need both comparison and gap-filling in one pass.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:04.579Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-keyed-dataset-comparison-explicit-missing-30adc0c9"}