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LLM Agent Red-Team Scanner (35-Probe Risk Report)
x402
LLM Agent Red-Team Scanner (35-Probe Risk Report) is a paid API for AI agents from llmrt-companion.manhliemcn4euwlu.workers.dev, paid per call via x402, $3/call, status unknown (last checked 2026-09-17).
Runs a 35-probe, 17-class red-team scan against an LLM agent and returns a 0–100 risk score report with CI gate support, delivered via HTTP 402 pay-per-scan
Price / call$3
Success—
StatusUnknown
How this service works
LLM agent red-team scanner: 35-probe / 17-class / 0-100 risk report + CI gate. HTTP 402 pay-per-scan on Nano (x402 exact) or USDC on Base. No key, no KYC, on-chain verifiable delivery (sha256 + re-run command + block hash). Also sells x402 endpoint interop audits (official SDK differential, 6 checks, sha256 report).
Output
A JSON response containing a download_url pointing to the full red-team report, an order_id for tracking, a paid status flag, and a token. The report itself covers 35 adversarial probes across 17 risk classes with a 0–100 composite risk score, a CI gate pass/fail indicator, sha256 content hash, block hash for on-chain verifiability, and a re-run command for independent reproduction.
Example use cases
Pre-deployment LLM safety gate
“Before I push my new AI chatbot to production, run a complete red-team scan across all 35 probes and give me a risk score — I need it to pass the CI gate threshold and I want the sha256-verified report with the block hash so I can prove the audit happened.”
Third-party AI agent compliance audit
“I need to audit a vendor's LLM agent for our compliance review — can you run the full 17-class red-team scan and give me a verifiable report I can attach to the risk assessment, using my callback URL https://hooks.mycompany.com/llm-audit for delivery notification?”
Iterative red-team regression after model update
“We just updated our fine-tuned model and I want to confirm it's no safer or riskier than before — run the 35-probe scan and return the 0–100 score with the re-run command so our security team can reproduce it independently.”
Technical details
Endpoint
GEThttps://llmrt-companion.manhliemcn4euwlu.workers.dev/pro/402When to prefer
Choose this endpoint when you need an automated, reproducible, on-chain-verifiable red-team safety audit of an LLM agent — especially for CI/CD pipeline integration, compliance documentation, or third-party risk assessments where cryptographic proof of delivery (sha256 + block hash) matters. Prefer this over manual pen-testing or generic vulnerability scanners when the target is specifically an LLM/AI agent and you need a structured 0–100 risk score across standardized adversarial probe classes.
Side effects
- HTTP 402 returned on first GET before payment — caller must pay via x402/USDC then re-GET with order_id
- Invalid or expired order_id returns error with no report
- Payment amount mismatch (not exact $3 USDC) causes rejected transaction
- Callback URL unreachable causes silent delivery failure — poll download_url instead
- Report generation timeout for large or slow-responding target agents
- Missing order_id on second GET causes re-initiation of scan flow
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| order_id | string | Order id from the 402 body; GET again with it after payment to receive the report. |
| callback_url | string | Optional HTTPS callback for delivery notification. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| okrequired | boolean | |
| paidrequired | boolean | |
| token | string | |
| order_idrequired | string | |
| download_urlrequired | string |
Tags
x402
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