{"uid":"cap_vzu3-jEvm8TUu_kTUaFN4","slug":"water-service-coverage-string-normalisation-numeric-distribution-8db52cd0","name":"Water Service Coverage — String Normalisation + Numeric Distribution","description":"Water service coverage — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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-19-022?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_oTWuduiBeHLHa__F-qQbj","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":"Performs string normalisation on region labels and computes numeric distribution statistics for water service coverage data (served_households and total_households) across up to 200 rows.","exampleAgentPrompt":"I have water service coverage records with served_households and total_households for various regions — can you run string normalisation on the region names and give me a numeric distribution report for the served_households field across my 50 rows?","exampleUseCases":[{"title":"Regional water access audit","prompt":"I have 120 rows of water coverage data by region and date — can you normalise the region name strings and show me the numeric distribution of served_households so I can spot which areas are underserved?"},{"title":"Household coverage data cleaning","prompt":"My dataset has messy region labels and I need both clean normalised strings and a distribution summary for total_households — can you run both reports on these 80 water service records?"},{"title":"Monthly utility coverage snapshot","prompt":"Can you take these 200 rows of water utility records from October 2026 and run string normalisation on the region column plus a numeric distribution on the total_households field so I can summarise coverage this month?"}],"resultDescription":"Two analytical reports for the submitted rows: (1) a string normalisation report cleaning and standardising the region label field, and (2) a numeric distribution report for the selected field (served_households or total_households), including distributional statistics such as min, max, mean, and spread metrics. Results are derived entirely from the supplied data with no external lookups.","failureModes":["Rows exceeding 200 items will be rejected (maxItems constraint)","Missing required fields (row_id, region, date, served_households, total_households) cause validation errors","Dates not matching YYYY-MM-DD pattern will fail schema validation","Null numeric values are accepted but may affect distribution calculations","Invalid field enum value (not served_households or total_households) causes rejection"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation of region labels and numeric distribution analytics on household coverage figures in a single low-cost call ($0.01 USDC). It is ideal for offline batch analysis of water service datasets up to 200 rows where no live data lookup, prediction, or external action is required. Prefer alternatives if you need real-time data enrichment, geospatial lookups, or more than 200 rows processed at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:35:56.709Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-string-normalisation-numeric-distribution-8db52cd0"}