Latitude 10 Agent Eval Kit is a paid API for AI agents from latitude10.tech, paid per call via x402, $49/call, status unknown (last checked 2026-10-11).
Downloads a TypeScript/Vitest testing library and CLI for evaluating AI agent behavior via trajectory recording and 25 behavioral matchers
I help B2B software get onto the agent platforms: a fixed-price sprint that turns your API into a production MCP server and submits it to AWS Marketplace, the Claude directory, the official MCP Registry and the other directories where agents find tools.
Returns a signed download URL for the Agent Eval Kit (a ZIP containing a Vitest library, CLI, 85 example test cases across 7 folders, recording adapters for Anthropic/OpenAI/Vercel AI/MCP SDKs, a GitHub Actions workflow, and setup wizard), along with product metadata including name, version, delivery type, description, content expiry timestamp, and payment/transaction details for the x402 micropayment.
GEThttps://latitude10.tech/api/agent-products/agent-eval-kit?utm_source=zero.xyzChoose this endpoint when you need a self-contained, offline-capable agent testing framework for TypeScript agents that records full execution trajectories (tool calls, model calls, costs, latencies, payments) and provides deterministic behavioral assertions — especially when you want to run most tests in CI without live API keys, need prompt injection testing with a real corpus, or want LLM-judge evaluation with caching. Prefer this over generic unit testing libraries or manual agent QA when you need structured regression baselines, pass@k trials, and JUnit-compatible CI output.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"payment": {
"network": "eip155:8453",
"transaction": "0x…"
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"product": {
"name": "Latitude 10 Agent Eval Kit for Node.js",
"slug": "agent-eval-kit",
"content": "https://latitude10.tech/api/kit/download?t=…",
"version": "1.0.3",
"delivery": "kit",
"description": "For Node.js: tests for what your agent does, not just what it says: a Vitest library and a CLI for TypeScript agents. Each run records a trajectory (model calls, tool calls with arguments and results, payments, tokens, cost, latency, outcome; the Agent Trace Kit format) and 25 matchers check it: which tools were called, in what order and with what arguments, cost, token, latency and step budgets, retries, payments, leaks, approvals and refusals. Mocked, failing, replayed and prompt-injected tools (a dated corpus of 24 original payloads) and a scripted model, so most suites run in CI with no API key. An LLM judge (Anthropic by default, or OpenAI or any compatible endpoint) with rubrics, votes and a cache; skipped loudly without a key. Trials with pass@k and pass^k, YAML suites, baselines that fail CI on regressions, JUnit and a job summary, and agent-eval import to turn a Trace Kit session into a regression test. Recording adapters for the Anthropic SDK, Claude Agent SDK, OpenAI SDK, OpenAI Agents SDK, Vercel AI SDK and MCP. Includes a setup wizard (node setup.mjs) running 85 example cases in seven folders (tool selection, hallucination, permissions, retries, failures, prompt injection, regression), agent-eval init for an existing project, and a GitHub Actions workflow.",
"contentExpiresAt": "2026-10-02T12:00:00.000Z"
}
}
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