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Controller Sampling — Record Quality Audit + Numeric Row Ordering
x402
Controller Sampling — Record Quality Audit + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Audits controller sampling records for data quality issues and produces a numeric row ordering report for up to 200 rows of input_latency_ms and sample_count data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Controller sampling — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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 independent reports: (1) a record quality audit identifying issues such as missing values, out-of-range entries, or malformed fields across the supplied rows, and (2) a numeric row ordering ranking all supplied rows by the chosen field (input_latency_ms or sample_count). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Game latency data quality check
“I've got 50 rows of controller sampling data from our game sessions with input_latency_ms and sample_count fields — can you run a quality audit on them and also sort the rows numerically by input_latency_ms so I can see which sessions had the worst latency?”
Controller telemetry anomaly detection
“Here are 120 controller sampling records from two game areas, group-alpha and group-beta, collected over the past month. Please audit them for record quality issues and order them by sample_count so I can spot any outliers.”
QA review of sampled input data
“We collected controller sampling data across 80 rows for our QA review — each row has a date, game_area, input_latency_ms, and sample_count. Can you check the records for data quality problems and give me a numeric ordering by input_latency_ms?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-15-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have controller sampling records with input_latency_ms and sample_count fields and need both a data quality audit and a numeric ordering report in a single low-cost call. It is ideal for game telemetry QA workflows where you want to detect data issues and rank rows simultaneously without building custom analytics. Best suited for datasets of up to 200 rows where no live prediction, external lookup, or professional assessment is needed.
Side effects
- Submitting more than 200 rows causes rejection — keep input to maxItems:200
- Missing required fields (row_id, date, game_area) on any row will trigger validation errors
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Selecting a field value outside the allowed enum ['input_latency_ms','sample_count'] returns an error
- Null numeric values are accepted but may affect ordering report completeness
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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