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Endpoint Telemetry Record Quality Audit + Two-Measure Correlation
x402
Endpoint Telemetry Record Quality Audit + Two-Measure Correlation 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).
Audits data quality and computes correlation between agent_count and reporting_agents for up to 200 rows of endpoint telemetry data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Endpoint telemetry — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation for supplied endpoint telemetry records (agent_count, reporting_agents). 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 reports: (1) a record quality audit flagging issues such as missing values, nulls, or out-of-range entries per row, and (2) a two-measure correlation analysis quantifying the statistical relationship between agent_count and reporting_agents across the supplied rows.
Example use cases
Telemetry data quality check
“I have 50 rows of daily endpoint telemetry with agent_count and reporting_agents values across two control groups — can you audit them for data quality issues like missing values or out-of-range numbers?”
Agent reporting correlation analysis
“I want to know how strongly agent_count correlates with reporting_agents across my telemetry dataset. Here are 30 rows with dates, control groups, and both metrics — please compute the correlation and give me the report.”
Multi-group telemetry validation
“Can you check the quality of my endpoint monitoring records and compute the correlation between agent_count and reporting_agents? I have 80 rows split across group-a and group-b from last quarter.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-15-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of endpoint telemetry data with agent_count and reporting_agents fields and need both a data quality audit and a statistical correlation between those two measures in a single low-cost call. It is ideal for lightweight, offline analytical checks on agent monitoring datasets without requiring external lookups or predictions.
Side effects
- Fewer than 1 row provided — returns validation error
- More than 200 rows submitted — exceeds limit, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, control_group, date, agent_count, reporting_agents) — request rejected
- All null values in one measure — correlation cannot be computed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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