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Detection Rules Analytics — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Detection Rules Analytics — Numeric Row Ordering + 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 2026-10-26).
Performs numeric row ordering and secondary-measure weighted mean analysis on detection rules data (rule_count, alert_count), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Detection rules — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean for supplied detection rules records (rule_count, alert_count). 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: (1) numeric row ordering of the submitted detection rules records sorted by the selected field (rule_count or alert_count), and (2) a secondary-measure weighted mean calculation across the dataset. Both reports are computed locally from supplied data with no external lookups.
Example use cases
Ranking detection rules by alert volume
“I have a list of security detection rules with their daily alert counts across two groups — can you numerically rank them by alert_count and compute the weighted mean so I can see which rules are generating the most noise?”
Comparing rule counts across control groups
“We're reviewing our detection rule rollout across group-a and group-b over October. Can you order our 8 detection rule records by rule_count and compute the secondary-measure weighted mean for alert_count to compare group performance?”
Weekly security analytics summary
“Every Monday I need a ranked ordering plus weighted mean analysis of last week's detection rules data — here are 12 rows with rule_count and alert_count per day, can you run both reports using rule_count as the primary field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-17-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to statistically analyze a batch of detection rules records (up to 200 rows) and require both a ranked numeric ordering and a weighted mean of a secondary measure in a single call. Ideal for security analysts who want two complementary statistical views of rule_count and alert_count data without building custom analytics. Not suitable for real-time threat detection, live rule lookups, or datasets larger than 200 rows.
Side effects
- Fewer than 1 row submitted — minItems validation error
- More than 200 rows submitted — maxItems exceeded error
- Missing required fields (row_id, control_group, date, rule_count, alert_count) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- row_id or control_group exceeds 80 characters — maxLength error
- Numeric values outside allowed range (±1,000,000,000,000) — range validation error
- Invalid field enum value (not rule_count or alert_count) — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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