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NovaPath Compensation Evidence Audit
x402
NovaPath Compensation Evidence Audit is a paid API for AI agents from instructional-decision-engine-x402.vercel.app, paid per call via x402, $0.35/call, status unknown (last checked 2026-10-31).
Audits up to eight role evidence packets for JD/PAQ coverage, comparable scales, duty alignment, wage-basis issues, and reuse restrictions, returning a prioritized review queue.
Price / call$0.35
Success—
StatusUnknown
How this service works
Review up to eight role evidence packets for JD/PAQ coverage, comparable scales, duty alignment, wage-basis issues and reuse restrictions. Produces a prioritized review queue, not salary recommendations.
Output
Returns a prioritized review queue of the submitted role evidence packets, ranked by severity of identified issues such as JD/PAQ coverage gaps, scale mismatches, duty misalignment, wage-basis problems, and reuse restrictions. Does not produce salary recommendations.
Example use cases
Pre-submission pay equity evidence screen
“Before we submit our pay equity analysis, audit these 5 roles for us — each has JD and PAQ scores, scale verification status, duty alignment flags, benchmark types ranging from published_wage_estimate to job_posting, permitted use statuses, and hours-basis flags. Set the review difference threshold to 100 and tell me which roles need attention first.”
Flagging prohibited benchmark reuse
“We suspect two of our eight roles are using benchmarks with prohibited reuse — can you run a full evidence audit on all eight packets, including their permittedUse values and benchmarkKind fields, and prioritize any that come back as prohibited or unknown so we know which ones to pull before our compensation meeting?”
Scale consistency check across roles
“We're unsure whether our comparator scales are consistent across four roles we benchmarked from different sources — each has a sameScaleVerified flag and PAQ and JD scores. Can you audit those four evidence packets with a difference threshold of 75 and show me the prioritized queue so we know where the scale mismatches are?”
Technical details
Endpoint
POSThttps://instructional-decision-engine-x402.vercel.app/compensation/evidence-audit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured, prioritized audit of compensation evidence packets across multiple roles — specifically checking JD/PAQ score coverage, benchmark scale consistency, duty alignment, wage-basis validity, and data reuse permissions — before undertaking a broader pay equity or classification analysis. It is not a salary recommender; use it upstream of any compensation decision workflow to identify which evidence packets require remediation.
Side effects
- Missing required fields (jdScore, paqScore, permittedUse, benchmarkKind, sameScaleVerified, hoursBasisVerified, comparatorDutiesVerified) cause validation errors
- Submitting more than 8 roles exceeds the maxItems constraint and is rejected
- Invalid enum values for permittedUse or benchmarkKind cause schema rejection
- reviewDifferenceThreshold outside 0–10000 range is rejected
- Empty roles array (fewer than 1 item) returns an error
- Payment failure (x402) results in no response being returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| roles | array | |
| reviewDifferenceThreshold | number |
Tags
x402
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