{"uid":"cap_Er8vGpW1XMsX7JP2_11Ks","slug":"water-service-coverage-grouped-numeric-summary-base-100-series-4c423ba9","name":"Water Service Coverage — Grouped Numeric Summary + Base-100 Series","description":"Water service coverage — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 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-19-092?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_cRsC-322Tx_gkoEZaoxgV","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 a grouped numeric summary and a Base-100 index series for water service coverage data (served_households, total_households) across regions and dates, returning two local analytical reports for up to 200 rows.","exampleAgentPrompt":"I have water service coverage records for two regions across four dates — with served_households and total_households columns. Can you run a grouped numeric summary and a Base-100 index series on the served_households field, using row 0 as the base index?","exampleUseCases":[{"title":"Regional water access benchmarking","prompt":"I have monthly water coverage data for 5 regions over the past year, with served_households and total_households for each row. Please run a grouped numeric summary and Base-100 index series on the served_households field, anchored to row 0, so I can benchmark each region's progress."},{"title":"Utility coverage trend indexing","prompt":"Can you take this dataset of 150 water utility records by date and region, and produce both a grouped summary and a Base-100 series for total_households starting from index position 0? I want to see how coverage has changed relative to the baseline."},{"title":"Multi-region household service analysis","prompt":"I've got served_households and total_households data for group-a and group-b across 30 dates. Run a grouped numeric summary and a Base-100 series for the served_households field using row 0 as the base, so I can compare service levels across the two groups."}],"resultDescription":"Two analytical reports: (1) a grouped numeric summary of the selected field (served_households or total_households) broken down by region, and (2) a Base-100 index series normalizing the field values relative to the specified base row — both computed locally over up to 200 input rows.","failureModes":["Input array is empty (minItems:1 violated) — validation error returned","More than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","base_index references a row index beyond the array length — index out of range error","Null values in the selected field may affect summary statistics or index computation","Missing required fields (row_id, region, date, served_households, total_households) — validation error"],"whenToPreferThis":"Choose this endpoint when you have tabular water service coverage data (served_households, total_households) organized by region and date, and need both a grouped descriptive summary and a normalized Base-100 time series in a single $0.01 call. It is ideal for offline/batch analytical workflows where no live data lookup, external enrichment, or prediction is needed — just two complementary statistical reports computed locally over up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:42:11.042Z","isFirstParty":false,"canonicalSlug":"water-service-coverage-grouped-numeric-summary-base-100-series-4c423ba9"}