{"uid":"cap_Re8xlK2Di3wkC4obydxhp","slug":"budget-program-reach-numeric-distribution-trailing-mean-series-2594075b","name":"Budget Program Reach — Numeric Distribution + Trailing Mean Series","description":"Budget program reach — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied budget program reach records (beneficiary_count, spend_amount). 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-21-076?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","region","date","beneficiary_count","spend_amount"],"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},"spend_amount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"beneficiary_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","spend_amount":1,"beneficiary_count":10},{"date":"2026-10-02","region":"group-b","row_id":"row-2","spend_amount":2,"beneficiary_count":20},{"date":"2026-10-03","region":"group-a","row_id":"row-3","spend_amount":3,"beneficiary_count":15},{"date":"2026-10-04","region":"group-b","row_id":"row-4","spend_amount":4,"beneficiary_count":30}],"maxItems":200,"minItems":1},"field":{"enum":["beneficiary_count","spend_amount"],"type":"string","default":"beneficiary_count"},"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_oW5a4vcDmX8NsMIIqMu1c","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 numeric distribution statistics and a trailing mean time series for budget program reach data (beneficiary_count or spend_amount) across up to 200 rows.","exampleAgentPrompt":"Can you run a numeric distribution and trailing mean series analysis on my budget program reach data — I have 150 rows with beneficiary_count and spend_amount by region and date, and I want to analyze beneficiary_count with a trailing window of 7?","exampleUseCases":[{"title":"Government program beneficiary trend analysis","prompt":"I have 120 rows of monthly budget program data with beneficiary counts by region from 2023 to 2024. Can you compute the numeric distribution and a trailing mean series for beneficiary_count using a window of 6 so I can see the smoothed trend over time?"},{"title":"Regional spend amount distribution review","prompt":"We're reviewing quarterly spend_amount records across 8 regions for our social program — about 80 rows total. Can you generate a numeric distribution and trailing mean series for spend_amount with a window of 4 to spot any outliers or trends?"},{"title":"Budget program evaluation for policy report","prompt":"I need to prepare a statistical summary of our food assistance program reach data — I'll supply 200 rows with beneficiary_count and date fields. Please give me the numeric distribution and trailing mean series for beneficiary_count using a window size of 10 for our policy report."}],"resultDescription":"Two analytical reports sharing the same input data: (1) a numeric distribution report covering statistical properties (e.g. min, max, mean, percentiles) of the selected field (beneficiary_count or spend_amount), and (2) a trailing mean time series showing the rolling average of the selected field over the specified window size — both computed locally from the supplied rows, no external data fetched.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds limit","Invalid date format (non YYYY-MM-DD) — validation error","Missing required fields (row_id, region, date, beneficiary_count, spend_amount) — schema error","Window size larger than number of rows — trailing mean may be undefined or partial","All values null for selected field — distribution report may be empty or error"],"whenToPreferThis":"Choose this endpoint when you have tabular budget program reach records with beneficiary counts or spend amounts and need both a distributional summary and a smoothed time-series trend in a single low-cost call. Ideal for economists, policy analysts, or program evaluators working with up to 200 rows of regional/temporal data who want offline statistical analysis without building custom pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:50:01.042Z","isFirstParty":false,"canonicalSlug":"budget-program-reach-numeric-distribution-trailing-mean-series-2594075b"}