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Budget Program Reach — Numeric Distribution + Trailing Mean Series
x402
Budget Program Reach — Numeric Distribution + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
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.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
Government program beneficiary trend analysis
“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?”
Regional spend amount distribution review
“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?”
Budget program evaluation for policy report
“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.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-21-076?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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