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Training Assessments — Daily Sum Series + Trailing Mean Series
x402
Training Assessments — Daily Sum Series + 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 2026-10-26).
Computes daily sum time series and trailing moving-average series for pre_score and post_score fields across training assessment records, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — Daily sum series + Trailing mean series: Daily sum series + Trailing mean series for supplied training assessments records (pre_score, post_score). 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
Returns two independent analytical reports: (1) a daily sum series aggregating the selected score field (pre_score or post_score) by date, and (2) a trailing mean series using the specified window size, both computed locally from the supplied rows. Up to 200 rows supported per call.
Example use cases
Tracking post-training score trends
“I have 150 rows of training assessment data with dates, course groups, pre-scores and post-scores — can you run a daily sum series and a trailing mean with a window of 5 on the post_score field so I can see how scores are trending over the program?”
Comparing pre-test daily totals with smoothing
“Can you take these 80 training assessment records and generate a daily sum series plus a trailing mean series using a window of 3 for the pre_score field? I want to see both reports together to understand baseline knowledge trends.”
Rolling average for learning effectiveness report
“I'm building a learning effectiveness report and need a daily sum and a 10-day trailing mean computed on post_score for these 200 assessment rows across multiple course groups — can you run those two analyses for me?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-136?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected training assessment data (up to 200 rows) and need both a daily sum time series and a trailing moving average series computed together in a single call for either the pre_score or post_score field. It is ideal for education analytics workflows where you want offline, local computation without any external data lookup, live scoring, or prediction — just clean time-series aggregation on supplied records.
Side effects
- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, date, course_group, pre_score, post_score) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes parsing failure
- Window size below 2 or above 200 is rejected
- Null values in score fields may affect aggregation accuracy
- Fewer rows than the window size yields incomplete trailing mean results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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