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Training Assessments — Record Quality Audit + Trailing Mean Series
x402
Training Assessments — Record Quality Audit + 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).
Runs two analytical reports on training assessment data: a record quality audit and a trailing mean series over pre_score or post_score values, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Training assessments — Record quality audit + Trailing mean series: Record quality audit + 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
Two independent analytical reports: (1) a record quality audit flagging completeness, nulls, and data issues across the supplied rows; and (2) a trailing mean series computed over the chosen field (pre_score or post_score) with the specified window size, covering up to 200 rows of training assessment data.
Example use cases
Pre-training score trend smoothing
“I've got 150 training assessment records with pre_score and post_score columns and I want to see a trailing mean of pre_score with a window of 3 — can you also audit the records for quality issues like nulls or missing values?”
Course group data completeness check
“Run a record quality audit on my assessment dataset — it has rows for two course groups with dates, pre-scores, and post-scores — I need to know if there are data gaps or quality problems before I report on it.”
Post-test score rolling average for e-learning
“I need a trailing mean series with a window of 10 on the post_score field for my e-learning assessment records, plus a quality audit on the same data to flag any bad rows — can you process all 200 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-11-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 training assessment records with pre_score and post_score fields and need both a data quality audit and a rolling/trailing mean analysis in a single low-cost ($0.01) call. It is ideal for offline, batch-style analysis of supplied data without requiring any live lookups or external data sources. Prefer alternatives if you need more than 200 rows, real-time predictions, or different analytical operations (e.g. histograms, deduplication, or grouped summaries).
Side effects
- Empty rows array or fewer than 1 row returns an error
- More than 200 rows exceeds the per-call limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Unrecognized field value outside enum [pre_score, post_score] causes rejection
- Window size outside [2, 200] range returns a validation error
- All-null scores for the selected field may produce degenerate trailing mean output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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