{"uid":"cap_2IR-dQiwWEbOMqS5jrnD0","slug":"water-service-coverage-data-quality-audit-suite-1a7f0bbe","name":"Water Service Coverage Data Quality Audit Suite","description":"Water service coverage — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied water service coverage records (served_households, total_households). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-economics-19-192?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}}},"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_eKvlGb2mmj7SoIue76tJU","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 three analytical reports on water service coverage records: record quality audit, string normalisation, and duplicate key detection — all processed locally without external lookups.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and duplicate key check on my water service coverage data? I have about 50 rows with fields like row_id, region, date, served_households, and total_households — I need all three reports back.","exampleUseCases":[{"title":"Pre-reporting data validation for water utility","prompt":"I'm preparing our quarterly water coverage report and need to check 120 rows of regional data for quality issues, normalise the region name strings, and flag any duplicate row IDs before I submit — can you run all three checks on the dataset?"},{"title":"Detecting data entry errors in coverage records","prompt":"Our team entered water service coverage data for 80 households across multiple regions and dates. Can you audit it for record quality problems and duplicate keys, and also normalise the region strings so we catch any naming inconsistencies?"},{"title":"Cleaning imported household coverage dataset","prompt":"I just imported water service data from a third-party source — about 150 rows with served_households and total_households counts — and I want a quality audit, string normalisation, and duplicate key report before I load it into our system."}],"resultDescription":"Three structured reports: (1) a record quality audit flagging missing, null, or out-of-range values in served_households, total_households, date, region, and row_id fields; (2) a string normalisation report showing standardised versions of region and other string fields; (3) a duplicate key report identifying repeated row_id values across the submitted records. All analysis is performed locally on the submitted data (up to 200 rows) with no external data lookups.","failureModes":["Exceeding 200 rows causes a validation error","Rows missing required fields (row_id, region, date, served_households, total_households) are rejected","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","row_id values exceeding 80 characters are rejected","Payment of 0.01 USDC not confirmed results in 402 Payment Required response","Empty rows array is rejected (minItems: 1)"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-effective ($0.01 for all three reports) quality audit of water service coverage records — specifically when your data contains served_households and total_households fields and you need quality auditing, string normalisation, and duplicate detection in a single call without triggering any external lookups or predictions. Prefer alternatives if you need live data enrichment, geospatial lookups, or predictive analytics on coverage gaps.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:36:15.404Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-data-quality-audit-suite-1a7f0bbe"}