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Endpoint Telemetry — Record Quality Audit + String Normalisation + Daily Sum Series
x402
Endpoint Telemetry — Record Quality Audit + String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs three local analytical reports on endpoint telemetry rows: a data quality audit, string normalisation, and a daily sum time series for agent_count or reporting_agents fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Endpoint telemetry — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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
Three analytical reports generated locally from the supplied data: (1) a record quality audit flagging nulls, format errors, and anomalies; (2) normalised string output for text fields like control_group; and (3) a daily sum time series for the chosen numeric field (agent_count or reporting_agents). No external data or predictions are included.
Example use cases
Daily agent count trend audit
“I have 120 rows of endpoint telemetry with agent_count and reporting_agents logged per day across two control groups. Can you audit the record quality, normalise the control_group strings, and compute a daily sum series for agent_count?”
Telemetry data quality check before reporting
“Before I publish my weekly agent performance report, please run a record quality audit and string normalisation on these 80 telemetry rows — I need to catch nulls, bad formats, and messy group labels.”
Compute reporting_agents daily totals
“I want a daily sum time series for the reporting_agents field across these 200 telemetry rows, plus a quality audit and string clean-up on the same dataset in one go.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-15-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of endpoint telemetry (with agent_count and reporting_agents columns) and need all three of a quality audit, string normalisation, and daily sum aggregation bundled in a single low-cost call. It is entirely local — no external lookups or predictions — making it fast, deterministic, and privacy-safe for internal monitoring data.
Side effects
- Fewer than 1 row supplied — rejected by minItems constraint
- More than 200 rows supplied — rejected by maxItems constraint
- date field not in YYYY-MM-DD format — schema validation error
- row_id missing or empty — required field validation failure
- field value not in enum ['agent_count','reporting_agents'] — rejected
- Numeric fields outside ±1,000,000,000,000 range — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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