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Endpoint Telemetry Data Quality & Normalisation Suite
x402
Endpoint Telemetry Data Quality & Normalisation Suite is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Performs record quality audit, string normalisation, and numeric row ordering on endpoint telemetry rows containing agent_count and reporting_agents fields, returning 3 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Endpoint telemetry — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering 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 3 independent analytical reports: (1) a record quality audit identifying missing, malformed, or inconsistent values; (2) a string normalisation report standardising text fields like control_group; and (3) a numeric row ordering report ranking rows by the selected numeric field (agent_count or reporting_agents). All computed locally from the supplied data with no external lookups.
Example use cases
Telemetry data quality check
“I have a batch of endpoint telemetry records with agent_count and reporting_agents values — some rows might be missing or malformed. Can you audit the record quality, normalise the control_group strings, and sort the rows by agent_count for me? Here are up to 200 rows.”
Control group label standardisation
“My telemetry export has inconsistent control group labels like 'Group-A', 'group_a', and 'GROUP A' mixed in. Can you run string normalisation on my telemetry rows and also give me a quality audit and numeric ordering by reporting_agents?”
Agent fleet reporting consistency review
“We track daily agent counts and reporting agents across several control groups. Can you audit the data quality of these telemetry rows, normalise the string fields, and rank the rows numerically by reporting_agents so I can see which dates had the most coverage?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-15-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 endpoint telemetry rows with agent_count and reporting_agents fields and need three bundled analytical operations — quality auditing, string normalisation, and numeric ordering — in a single low-cost call. It is ideal for pre-processing agent monitoring exports before dashboarding or further analysis, and is better suited than general-purpose data tools when you specifically need all three reports together at $0.01 USDC without any external API dependencies.
Side effects
- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, date, agent_count, reporting_agents, control_group) causes row-level validation failures
- Dates not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid field enum value (not 'agent_count' or 'reporting_agents') causes parameter error
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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