Tools / AI
Embeddings $0.002 / call
1024-dim text embeddings for search and RAG.
GET /v1/embedReturns a 1024-dimension embedding vector for a piece of text, for semantic search, clustering, or retrieval-augmented generation. Cheap enough to embed at scale.
Parameters
text required | Text to embed (max 8000 chars) |
Example
macOS / Linuxcurl -s "https://quartermaster.surewhynot.app/v1/embed?text=agent%20payments%20on%20base"curl.exe -s "https://quartermaster.surewhynot.app/v1/embed?text=agent%20payments%20on%20base"Unpaid, these return 402 Payment Required with the payment details in the header (add -i to see them). curl.exe ships with Windows 10+ and works in cmd and both PowerShell versions. To actually pay, use an x402 client (see Connect) or call it as the MCP tool. Cost: $0.002 per call.
FAQ
What model and dimensions?
Qwen3 embeddings on Workers AI, 1024 dimensions per vector.
How do I pay for this endpoint?
Call it with no payment and you receive HTTP 402 with machine-readable payment requirements. Attach a USDC payment on Base with any x402 client (for example @x402/fetch) and retry — the whole loop is two requests. This call costs $0.002 in USDC.
Do I need an account or API key?
No. There are no accounts, logins, or API keys anywhere in Quartermaster. Payment is per call over the x402 protocol; your wallet is your identity.
Can I call this as an MCP tool instead?
Yes. Quartermaster is also an MCP server at /mcp, so any MCP client (Claude Code, Claude.ai, Cursor) can mount this tool. See /connect for setup.