{"uid":"cap_qELDYN5S_IoiN4_oHvbFE","slug":"agentprobe-v1-0-0-bilingual-llm-agent-adversarial-test-pack-9f1f4afb","name":"AgentProbe v1.0.0 – Bilingual LLM-Agent Adversarial Test Pack","description":"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.","url":"https://agentprobe.pythonanywhere.com/v1/pack","method":"GET","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"pack":"zh-agent-adversarial","count":2}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.003","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.003/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.003","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_M0mY3bB2D5itFFcmloZxK","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.003","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns a pack of 53 hand-authored, OWASP-mapped adversarial test cases in English and Chinese for evaluating the security robustness of OpenAI-compatible LLM agents.","exampleAgentPrompt":"Fetch me the AgentProbe adversarial test pack — I need all 53 OWASP-mapped cases in both English and Chinese so I can start red-teaming my OpenAI-compatible agent.","exampleUseCases":[{"title":"Red-teaming a customer support bot","prompt":"Pull the AgentProbe bilingual adversarial test pack so I can run all 53 OWASP attack cases against our customer support agent and see where it fails."},{"title":"CI pipeline security gate for LLM agents","prompt":"Grab the AgentProbe test pack and use the included MIT harness to score our AI agent on every adversarial case before we ship the next release."},{"title":"Bilingual security audit for Chinese-market agent","prompt":"Download the AgentProbe pack — I specifically need the Chinese-language adversarial prompts to audit our Mandarin-facing LLM agent for OWASP vulnerabilities."}],"resultDescription":"Returns a JSON object containing the pack identifier (e.g. 'zh-agent-adversarial') and the count of adversarial test cases included (e.g. 53), along with the full set of hand-authored, OWASP-mapped prompts in both English and Chinese that can be run against any OpenAI-compatible LLM agent using the bundled zero-dependency MIT harness.","failureModes":["Payment not fulfilled (x402 payment required) — endpoint returns 402 before delivering the pack","Network timeout on PythonAnywhere free-tier hosting — service may be slow or unavailable during cold starts","Invalid or missing pack identifier — may return empty or malformed JSON","Rate limiting if too many requests are made in quick succession"],"whenToPreferThis":"Choose this endpoint when you need a ready-made, OWASP-aligned adversarial test suite specifically designed for LLM agents and need bilingual (English + Chinese) coverage out of the box. It is preferable to hand-rolling test cases when you want structured, security-framework-mapped prompts with a bundled scoring harness that works with any OpenAI-compatible model, and when you need results quickly without writing test infrastructure from scratch.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T12:30:19.090Z","isFirstParty":false}