embed.mojojojo.cc
Embeddings API
OpenAI-compatible text embeddings: E5-small-v2 (384 dims) on Mojo CPU kernels, $0.02 per million tokens
Live
Pricing
| Meter | Price | Free each month |
|---|---|---|
| Embedding tokens | $0.02 per million tokens | 1,000,000 tokens |
Billed from your mojojojo credits ($0.001 each). Nothing accrues without an API key, and a request is refused once the free allowance is spent and the balance is empty.
Try it
Loading your account…
Playground
Call it
curl https://embed.mojojojo.cc/v1/embeddings \
-H "Authorization: Bearer $MOJOJOJO_KEY" -H "Content-Type: application/json" \
-d '{"input":["how do I reset my password"],"input_type":"query"}'
Endpoints
POST /v1/embeddingsGET /v1/models
Agents: MCP · OpenAPI · llms.txt
Model
intfloat/e5-small-v2 (MIT), revision ffb93f3b
Limits and measured results
- input_type is "query" or "passage" (E5 prefixes are added for you); default passage.
- Vectors are L2-normalised, 384 dimensions; up to 512 inputs of 20,000 characters per request.
- Matches the PyTorch reference to 2e-7 max abs difference (cosine 0.9999999).
- Speed: 0.40x PyTorch at batch 1 up to 0.93x at batch 200 on 2 pinned cores. It is a convenience and price play, not a latency win.
