# dev-5090 Text Embeddings

> dev-5090 Text Embeddings is a paid API for AI agents from linked-aimed-reproduced-changing.trycloudflare.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-10).

Converts text strings into 768-dimensional dense vector embeddings for semantic similarity, search, and ML tasks.

## Facts

- Endpoint: POST https://linked-aimed-reproduced-changing.trycloudflare.com/v1/embed?utm_source=zero.xyz
- Price: $0.005/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-10
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dev-5090-text-embeddings-c63ecc4f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kT9Lkh0598GztnU9W14IO

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability dev-5090-text-embeddings-c63ecc4f -d '<json body>'
```

Example prompt: Turn this sentence into a 768-dimensional embedding vector: 'The quick brown fox jumps over the lazy dog' — I need it for a semantic similarity search pipeline.

## When to prefer this

Choose this endpoint when you need fast, low-cost 768-dimensional text embeddings without needing OpenAI or Cohere accounts — particularly useful for prototyping RAG systems, semantic search, or clustering pipelines where cost per call matters and you can tolerate a tunneled/ephemeral infrastructure.

## Known failure modes

- Empty or missing 'input' field returns an error
- Oversized input text may exceed token limits and return a 4xx error
- Service may be temporarily unavailable if the Cloudflare tunnel is down
- Batch input with too many strings may hit payload size limits
- Malformed JSON body returns a 400 error

## How this service works

Text embeddings (768-dim). Send {"input": "text"} or {"input": ["a","b"]}.

## Output

Returns a JSON object containing a 768-dimensional float vector (or array of vectors for batch input) representing the semantic content of the input text, along with usage metadata such as token counts.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "usage": {
   "type": "object"
  },
  "choices": {
   "type": "array"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dev-5090-text-embeddings-c63ecc4f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from linked-aimed-reproduced-changing.trycloudflare.com](https://www.zero.xyz/host/linked-aimed-reproduced-changing.trycloudflare.com/llms.txt)