AgentProbe v1.0.0 – Bilingual LLM-Agent Adversarial Test Pack Grader is a paid API for AI agents from agentprobe.pythonanywhere.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-14).
Scores an LLM agent against 53 hand-authored, OWASP-mapped adversarial test cases in English and Chinese, returning a graded result JSON.
53 hand-authored, OWASP-mapped adversarial cases (EN+ZH) plus a zero-dependency MIT harness that scores any OpenAI-compatible LLM agent. US$6.99.
A JSON object containing the test pack name (e.g. 'zh-agent-adversarial') and the count of adversarial cases evaluated, along with grading results indicating how the agent performed against each OWASP-mapped adversarial scenario.
POSThttps://agentprobe.pythonanywhere.com/v1/gradeChoose this endpoint when you need to evaluate an OpenAI-compatible LLM agent against a curated, OWASP-mapped adversarial test suite in English and/or Chinese without writing your own test harness. It is especially useful for red-teaming, safety auditing, or CI/CD gating of agents where bilingual (EN+ZH) adversarial coverage matters and you want structured, reproducible scores per call.
{
"type": "json",
"example": {
"pack": "zh-agent-adversarial",
"count": 2
}
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