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Endpoint Telemetry — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Endpoint Telemetry — Adjacent Row Changes + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Computes adjacent row changes and reporting_agents-weighted mean for endpoint telemetry records (agent_count, reporting_agents) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Endpoint telemetry — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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 analytical reports for the supplied telemetry rows: (1) adjacent row changes showing the delta between consecutive rows for the selected field, and (2) a secondary-measure weighted mean of the selected field weighted by the companion measure. Results are computed locally with no external data or predictions, covering up to 200 input rows per call.
Example use cases
Daily agent count drift monitoring
“I need to see how my agent_count is shifting day over day across these telemetry records — run adjacent row changes and a reporting_agents-weighted mean on these 5 rows: row-1 2026-10-01 agent_count=100 reporting_agents=5, row-2 2026-10-02 agent_count=120 reporting_agents=8, row-3 2026-10-03 agent_count=110 reporting_agents=6, row-4 2026-10-04 agent_count=95 reporting_agents=4, row-5 2026-10-05 agent_count=130 reporting_agents=9. Analyze agent_count.”
Control group telemetry comparison
“I have telemetry records split across two control groups — group-a and group-b — and I want both adjacent row changes and a reporting_agents-weighted mean for the agent_count field. My rows: row-1 2026-11-01 group-a agent_count=50 reporting_agents=2, row-2 2026-11-02 group-b agent_count=75 reporting_agents=4, row-3 2026-11-03 group-a agent_count=60 reporting_agents=3, row-4 2026-11-04 group-b agent_count=90 reporting_agents=6. Can you run both reports?”
Reporting agent activity trend analysis
“Analyze my reporting_agents field using adjacent row changes and a weighted mean — here are my 4 rows: row-1 2026-09-01 agent_count=200 reporting_agents=10, row-2 2026-09-02 agent_count=210 reporting_agents=15, row-3 2026-09-03 agent_count=190 reporting_agents=8, row-4 2026-09-04 agent_count=225 reporting_agents=20. Use reporting_agents as the analysis field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-15-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have endpoint telemetry records with agent_count and reporting_agents numeric fields and need both adjacent row-change analysis and a weighted mean in a single low-cost call. It is ideal for operational monitoring workflows where you want to detect day-over-day shifts and compute an importance-weighted average without setting up your own analytics pipeline. Prefer this over general-purpose analytics tools when working within an x402 micropayment agent workflow at $0.01 per call for up to 200 rows.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required row fields (row_id, date, agent_count, reporting_agents, control_group) — schema validation failure
- Invalid date format (must match YYYY-MM-DD pattern) — pattern validation error
- Field selector not in allowed enum (agent_count or reporting_agents) — enum validation error
- Numeric values outside allowed range (-1e12 to 1e12) — range validation error
- Empty rows array (minItems: 1 not met) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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