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Animica Health Model Evaluate
x402
Animica Health Model Evaluate is a paid API for AI agents from animica.dev, paid per call via x402, $0.006/call, status unknown (last checked 2026-09-13).
Runs a named evaluation suite against a specific model version and returns health/quality assessment results
Price / call$0.006
Success—
StatusUnknown
How this service works
Animica Python Cloud: deploy a Python function to animica.dev, get a public endpoint, and earn ANM every time someone runs it. Free AI (OpenAI-compatible, no key), free scheduled Workers, and an 80/20 developer split.
Output
A JSON object containing the evaluation results for the specified model version against the named suite, including scores, pass/fail indicators, and per-test metrics as defined by the suite.
Example use cases
Pre-deployment model quality gate
“Before I deploy model 'gpt-mini-finetune' version 3, run it through the 'safety-checks' evaluation suite on Animica and show me whether it passes.”
Comparing model versions after fine-tuning
“I just released version 4 of 'my-custom-classifier' — can you run the 'classification-accuracy' suite on it via Animica so I can see how it compares to the previous version?”
Scheduled model health monitoring
“Every morning, run the 'hallucination-detection' evaluation suite against model 'rag-assistant' version 1 on Animica and alert me if the score drops below the baseline.”
Technical details
Endpoint
POSThttps://animica.dev/x402/health/model/evaluateWhen to prefer
Use this endpoint when you need to programmatically evaluate a specific AI model version against a predefined health or quality suite on the Animica platform, especially within automated CI/CD pipelines, scheduled monitoring workflows, or when comparing model versions. Prefer this over manual evaluation when you need reproducible, pay-per-call on-demand benchmarking without managing infrastructure.
Side effects
- Invalid or unknown suite name returns an error — use GET /health/v1/evaluations/suites to retrieve valid suite names
- Unknown model_id or model_version combination returns a not-found error
- Payment failure (insufficient USDC balance) blocks the call
- Malformed request body returns a 400 validation error
- Model version mismatch or incompatibility with the suite may return a partial or error result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| suite | string | from GET /health/v1/evaluations/suites |
| model_id | string | |
| model_version | number |
Output
Schema · Response
{
"type": "json"
}Tags
x402
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