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Endpoint Telemetry — Record Quality Audit + String Normalisation + Grouped Numeric Summary
x402
Endpoint Telemetry — Record Quality Audit + String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs three local analytical reports on endpoint telemetry rows: a data quality audit, string normalisation, and a grouped numeric summary for agent_count or reporting_agents fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Endpoint telemetry — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied endpoint telemetry records (agent_count, reporting_agents). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three analytical reports computed locally from the supplied rows: (1) a record quality audit flagging data completeness and formatting issues, (2) normalised string representations of text fields, and (3) a grouped numeric summary (e.g. mean, count, totals) of the selected numeric field (agent_count or reporting_agents) broken down by control_group. No external data sources or live lookups are involved.
Example use cases
Telemetry data quality check
“I have 50 rows of endpoint telemetry with row IDs, dates, control groups, agent counts, and reporting agent counts — can you run a record quality audit on them to flag any missing or malformed values?”
Grouped agent count summary
“Can you give me a grouped numeric summary of the agent_count field across control groups for my telemetry dataset? I have about 120 rows with dates from 2026-09-01 to 2026-09-30.”
String normalisation for monitoring records
“My telemetry export has inconsistent capitalisation and whitespace in the control_group strings — can you normalise the string fields across all 80 rows and show me the cleaned output?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-15-194?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 three bundled offline analytical reports — quality audit, string normalisation, and grouped numeric summary — in a single cheap call ($0.01 USDC). It is not suitable for live lookups, predictions, or datasets exceeding 200 rows.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, control_group, date, agent_count, reporting_agents) on any row — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field selector (not 'agent_count' or 'reporting_agents') — enum validation error
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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