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Cache Telemetry Record Quality Audit and Numeric Interval Filter
x402
Cache Telemetry Record Quality Audit and Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs two local analytical reports on cache telemetry data: a record quality audit and a numeric interval filter on hit_count or miss_count fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Cache telemetry — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter for supplied cache telemetry records (hit_count, miss_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 record quality audit identifying missing, null, or malformed values in the supplied cache telemetry rows, and (2) a numeric interval filter report listing which rows have the selected field (hit_count or miss_count) within the specified minimum-to-maximum range. No external lookups or predictions are made; all analysis is performed locally on the supplied data.
Example use cases
Cache data quality check before reporting
“I have 150 rows of daily cache telemetry with hit_count and miss_count values — can you run a quality audit on them to flag any bad or missing records, and also filter down to rows where hit_count is between 0 and 1000?”
Outlier detection in cache miss data
“Can you audit these cache telemetry records for quality issues and filter out any rows where miss_count falls outside the range of 0 to 50? I want to spot anomalies in the miss data across my components.”
Pre-pipeline validation of cache metrics
“Before I load this cache telemetry dataset into my pipeline, please run a record quality audit and a numeric interval filter on the miss_count field — keep only rows where miss_count is between 1 and 200.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-06-008?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data-quality audit and numeric range filter specifically for cache telemetry (hit_count, miss_count) datasets of up to 200 rows, without requiring any external data lookups, predictions, or live system access. It is ideal for pre-pipeline validation workflows or ad hoc cache metric reviews where two bundled local reports are needed cheaply ($0.01 USDC per call).
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, component, date, hit_count, miss_count) in any row causes rejection
- Invalid date format (non YYYY-MM-DD) causes schema validation failure
- Setting minimum greater than maximum may produce empty filter results
- Null numeric values are flagged in quality audit but may still be included in the payload
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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