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Latitude 10 Agent Trace Kit
x402
Latitude 10 Agent Trace 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).
Delivers a TypeScript SDK and self-hosted viewer for comprehensive AI agent observability — tracing model calls, tool calls, HTTP requests, payments, and sub-agent handoffs into a single session timeline.
Price / call$49
Success—
StatusUnknown
How this service works
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.
Output
A downloadable package (via a signed content URL) containing the Agent Trace Kit v1.0.3: a TypeScript SDK and self-hosted viewer. The SDK instruments Anthropic SDK, Claude Agent SDK, OpenAI SDK, OpenAI Agents SDK, Vercel AI SDK 4+, and official MCP client. Includes setup wizard, Docker and Fly.io deployment files, OTLP ingest (JSON/protobuf), SQLite/Postgres storage, a waterfall UI with usage stats and share links, CLI, alerting, forwarding, sampling, and trajectory fixture export. Content URL expires 2026-10-02.
Example use cases
Debug a stalled autonomous agent
“My agent keeps stopping mid-task and I can't tell why — can you pull the Agent Trace Kit so I can see exactly what tool calls and model calls it made, what they cost, and at what step it stopped?”
Track LLM spend across agent sessions
“I need to understand how much each agent run is actually costing me in tokens and API calls — get me the Agent Trace Kit so I can see per-session cost breakdowns with model call token counts and cache hit details.”
Build evaluation datasets from agent traces
“I want to export my agent's past sessions as trajectory fixtures so I can use them for evaluation — grab the Agent Trace Kit so I can record, store, and export the full traces from my OpenAI Agents SDK runs.”
Technical details
Endpoint
GEThttps://latitude10.tech/api/agent-products/agent-trace-kit?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need end-to-end agent observability that spans multiple processes and SDKs in a single session, especially when you need to track payment costs (x402, L402, MPP) alongside LLM token costs. Prefer it over generic OpenTelemetry collectors when you want agent-specific concepts like sub-agent handoffs, model cost tables, outcome capture, and trajectory export out of the box. Best fit for TypeScript/Node.js agent developers using Anthropic, OpenAI, or Vercel AI SDK stacks who want a self-hosted, privacy-preserving trace viewer rather than a SaaS observability platform.
Side effects
- Payment not settled — x402 payment of 49 USDC must be confirmed on Base (eip155:8453) before kit is delivered
- Expired content URL — signed download link has a fixed expiry; re-purchase needed after 2026-10-02
- Invalid properties filter — malformed input schema may result in empty or error response
- Network or delivery failure — transient HTTP errors on the content CDN
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"payment": {
"network": "eip155:8453",
"transaction": "0x…"
},
"product": {
"name": "Latitude 10 Agent Trace Kit for Node.js",
"slug": "agent-trace-kit",
"content": "https://latitude10.tech/api/kit/download?t=…",
"version": "1.0.4",
"delivery": "kit",
"description": "For Node.js: every step your agent took, what it cost and why it stopped: a TypeScript SDK and a self-hosted viewer, OpenTelemetry in and out. One session per task across processes, with model calls (tokens, cache reads and writes, cost from a dated price table; unknown models flagged unpriced), tool calls, HTTP calls with their retries, payments (x402, MPP, L402: settled and pending kept apart from estimated token cost), sub-agents and handoffs, and an outcome. Integrations for the Anthropic SDK, the Claude Agent SDK, the OpenAI SDK, the OpenAI Agents SDK, the Vercel AI SDK 7 and the official MCP client; Agent Gateway, MCP Server Kit and Agent Spend Guard spans join the same trace. Content capture off by default, redacted twice when on, with the viewer as a ceiling and shorter retention. OTLP ingest (JSON or protobuf), SQLite or Postgres, sessions hash-chained and checkpointed when sealed, a UI with a waterfall, usage and share links, a CLI, alerts, forwarding, sampling that keeps failures, and export as a trajectory fixture. Includes a setup wizard (node setup.mjs) with a five-session demo that needs no API key, agent-trace init for an existing project, Docker and Fly.io files.",
"contentExpiresAt": "2026-10-02T12:00:00.000Z"
}
}
}Tags
x402
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