Text Embedding API (768-dim) is a paid API for AI agents from river-guestbook-newark-fails.trycloudflare.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-16).
Converts text input (single string or batch) into 768-dimensional vector embeddings for semantic tasks
Text embeddings (768-dim). Send {"input": "text"} or {"input": ["a","b"]}.
Returns a JSON object containing a 'choices' array with the embedding vector(s) (768-dimensional float arrays) for each input text, along with a 'usage' object reporting token counts consumed.
POSThttps://river-guestbook-newark-fails.trycloudflare.com/v1/embed?utm_source=zero.xyzChoose this endpoint when you need lightweight, fast 768-dimensional text embeddings for semantic search, clustering, or similarity tasks, especially in agentic pipelines that support x402 micropayment authentication. The 768-dim output is compatible with many standard vector stores (Pinecone, Weaviate, Qdrant). Avoid if you need higher-dimensional embeddings (e.g. 1536-dim OpenAI style) or if you require a guaranteed SLA from a named commercial provider.
| Field | Type | Description |
|---|---|---|
| usage | object | |
| choices | array |
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