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NovaPath Professional Review Cases
x402
NovaPath Professional Review Cases is a paid API for AI agents from instructional-decision-engine-x402.vercel.app, paid per call via x402, $1/call, status unknown (last checked 2026-10-31).
Retrieves up to six synthetic professional-review scenario cases with optional answer keys and scoring rubrics, drawn from 24 documented failure-pattern scenarios.
Price / call$1
Success—
StatusUnknown
How this service works
Retrieve up to six selected cases from 24 synthetic professional-review scenarios, with optional expected findings and scoring rubrics. Derived from documented failure patterns; AI-assisted labels, no independent expert validation.
Output
Returns up to six professional-review scenario cases selected by case ID (RV-001 through RV-024), each containing a synthetic scenario description derived from documented failure patterns. Optionally includes expected findings and scoring rubrics when includeAnswerKey is true. Cases are AI-assisted and labeled but have not undergone independent expert validation.
Example use cases
Training evaluation for new reviewers
“Fetch cases RV-001, RV-005, RV-010, and RV-018 from the professional review scenarios, and include the answer keys so I can walk new hires through what correct findings look like.”
Scoring rubric retrieval for assessment design
“I'm designing a professional review assessment — can you get me cases RV-002, RV-009, RV-014, RV-020, and RV-023 with their scoring rubrics included?”
AI agent self-evaluation on review scenarios
“Retrieve cases RV-004, RV-011, RV-016, RV-019, and RV-022 without the answer key so the agent can attempt them blind, then I'll check against the expected findings separately.”
Technical details
Endpoint
POSThttps://instructional-decision-engine-x402.vercel.app/evaluation/professional-review?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured synthetic professional-review training cases with optional scoring rubrics for educational or evaluation purposes. It is particularly suited for AI-assisted assessment workflows, reviewer training pipelines, or benchmarking agent performance against documented failure patterns. Prefer this over open-ended case generation when you want stable, repeatable case IDs with consistent expected findings.
Side effects
- Invalid or out-of-range case IDs (not in RV-001 to RV-024 enum) result in validation error
- Requesting more than 6 cases exceeds the maxItems constraint and will be rejected
- Requesting 0 cases or an empty array violates minItems:1 constraint
- Duplicate case IDs rejected due to uniqueItems constraint
- Payment failure or missing x402 payment header results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| caseIds | array | |
| includeAnswerKey | boolean |
Tags
x402
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