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Controller Sampling — Two-Measure Correlation + Secondary-Measure Weighted Mean
x402
Controller Sampling — Two-Measure Correlation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Computes Pearson correlation between input_latency_ms and sample_count, plus a weighted mean for a chosen secondary measure, across up to 200 controller sampling records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Controller sampling — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean for supplied controller sampling records (input_latency_ms, sample_count). 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 analytical reports: (1) a Pearson-style correlation coefficient between input_latency_ms and sample_count across all supplied rows, and (2) a weighted mean of the selected secondary measure (input_latency_ms or sample_count), computed locally with no external lookups. Results cover up to 200 input rows.
Example use cases
Game area latency correlation check
“I've got controller sampling records for two game areas across 10 dates, each with input_latency_ms and sample_count values — can you compute the correlation between those two measures and give me the weighted mean of input_latency_ms across all rows?”
Controller performance regression review
“We collected 50 rows of controller telemetry with input_latency_ms and sample_count per session — run the two-measure correlation and weighted mean for sample_count on this dataset so I can see if latency and sample volume are moving together.”
QA sampling data statistical summary
“Here are 20 QA controller sampling records with row IDs, dates, game areas, input_latency_ms, and sample_count — give me both the correlation report between the two numeric measures and the weighted mean for input_latency_ms.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-15-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular controller sampling data with input_latency_ms and sample_count columns and need both a two-measure correlation and a weighted mean in a single cheap call ($0.01 USDC). Prefer it over general-purpose analytics when your dataset is under 200 rows and you want a bundled pair of statistical reports without setting up a full data pipeline.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows causes rejection due to maxItems limit
- Null values in both numeric fields may reduce correlation validity
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, game_area, date, input_latency_ms, sample_count) causes row rejection
- Field enum value not in ['input_latency_ms','sample_count'] causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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