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Donation Campaign Records – Trailing Mean Series
x402
Donation Campaign Records – 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 2026-10-19).
Computes a trailing (rolling) mean series over donation campaign records for a specified numeric field and window size, returning local descriptive analytics without enrichment or forecasting.
Price / call$0.01
Success—
StatusUnknown
How this service works
Donation campaign records - Trailing mean series: Trailing mean series for Donation campaign records. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded trailing mean series report.
Output
Returns a trailing mean series report: for each input row, the endpoint computes the rolling average of the specified field ('donations' or 'amount') over the given window size, producing a smoothed numeric series alongside the original row identifiers and metadata. Up to 200 rows are supported per call.
Example use cases
Smoothing weekly fundraising totals
“I have daily donation records for our 'Year-End Appeal' campaign across the last 90 days. Can you calculate a trailing mean over the 'amount' field with a window of 7 to smooth out the day-to-day noise?”
Comparing rolling averages across campaigns
“I've got records for two campaigns — 'spring-gala' and 'annual-fund' — with daily donation counts. Run a trailing mean series on the 'donations' field using a window of 3 so I can see each campaign's smoothed trend.”
Identifying donation momentum dips
“Here are 150 donation records from our 'match-week' drive. Compute a trailing mean on the 'amount' field with a window of 5 so I can spot where momentum dropped and fundraising slowed down.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-donation-records-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 donation campaign records and need a simple rolling average (trailing mean) computed locally without any external data enrichment, forecasting, or ML inference. It is ideal for smoothing time-series donation data for descriptive reporting, trend visualization prep, or anomaly spotting. Prefer it over general-purpose analytics tools when you want a lightweight, pay-per-call ($0.01 USDC) computation that returns immediately with no setup.
Side effects
- Fewer than 'window' rows provided — trailing mean cannot be computed for early rows where history is insufficient
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Amount or donations value outside allowed range (-1e12 to 1e12) rejected
- Exceeding 200 rows returns an error
- Missing required fields (row_id, campaign, date, donations, amount) cause item-level rejection
- Window value less than 2 or greater than 200 is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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