{"uid":"cap_W8uyV7GDbA4z7ruOcEruZ","slug":"water-service-coverage-duplicate-key-report-trailing-mean-series-51d67232","name":"Water Service Coverage — Duplicate Key Report + Trailing Mean Series","description":"Water service coverage — Duplicate key report + Trailing mean series: Duplicate key report + Trailing mean 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-19-061?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_ve35zIul9Q_d28CRy2yDl","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":"Analyzes up to 200 rows of water service coverage data to produce a duplicate key report and a trailing mean series for served_households or total_households.","exampleAgentPrompt":"Check my water service coverage dataset for duplicate row IDs and also compute a trailing mean of served_households with a window of 3 — here are my records with row_id, region, date, served_households, and total_households fields for up to 50 rows.","exampleUseCases":[{"title":"Audit water utility data for duplicate keys","prompt":"I have a CSV of water service coverage records with row IDs, regions, dates, served_households, and total_households — can you run a duplicate key report to find any repeated row IDs and also give me a trailing mean of served_households with a window of 4?"},{"title":"Compute rolling average for household coverage","prompt":"Run a trailing mean analysis on my water service total_households data using a window of 5, and flag any duplicate row IDs in the dataset — I'll paste in about 80 rows with row_id, region, date, served_households, and total_households."},{"title":"Data quality check before water coverage reporting","prompt":"Before I submit this quarterly water coverage report, can you check my 120 rows for duplicate row keys and compute a rolling mean of served_households with a window of 2, so I can spot anomalies?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any row_id values that appear more than once in the submitted dataset, and (2) a trailing mean series computed over the selected field (served_households or total_households) using the specified window size. Both reports are derived entirely from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) — validation error","Missing required fields (row_id, region, date) — schema validation failure","Window size outside 2–200 range — parameter error","Empty rows array — minimum items constraint violation"],"whenToPreferThis":"Choose this endpoint when you have tabular water service coverage data and need both data quality validation (duplicate key detection) and time-series smoothing (trailing mean) in a single low-cost call. Ideal for pre-reporting data audits or pipeline QA steps where you want two analytical outputs without separate API calls. Not suitable if you need live data fetching, predictions, or professional utility assessments.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:50:13.564Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-duplicate-key-report-trailing-mean-series-51d67232"}