# dev-5090 Text Embedding API

> dev-5090 Text Embedding API is a paid API for AI agents from over-arabia-specifically-luxury.trycloudflare.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-10).

Generates 768-dimensional text embeddings for single strings or batches of strings

## Facts

- Endpoint: POST https://over-arabia-specifically-luxury.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-embedding-api-2fd08859
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VVx0yeSLm7XUXtSdGSoCP

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-embedding-api-2fd08859 -d '<json body>'
```

Example prompt: Can you generate a 768-dimensional embedding vector for the sentence 'The quick brown fox jumps over the lazy dog' so I can store it in my vector database?

## When to prefer this

Choose this endpoint when you need fast, affordable 768-dimensional text embeddings without a commercial API account. It is well-suited for prototyping semantic search pipelines, populating vector databases, or batch-embedding small corpora at low cost ($0.005/call). Prefer it over OpenAI or Cohere embedding APIs when you want a pay-per-call x402 micropayment model with no subscription required. The 768-dim output is compatible with many standard vector stores and similarity libraries.

## Known failure modes

- Empty input string returns an error or zero vector
- Extremely long inputs may be truncated or rejected
- Batch inputs exceeding token limits may fail
- Service unavailability due to ephemeral Cloudflare tunnel going offline
- Malformed JSON body returns a 400 error
- Rate limiting or quota exhaustion from the x402 payment layer

## How this service works

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

## Output

Returns an object with an array of 768-dimensional float vectors (one per input string), along with token usage statistics. Each embedding captures the semantic meaning of the input text in a dense numerical representation suitable for similarity search, clustering, or downstream ML tasks.

## 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-embedding-api-2fd08859/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from over-arabia-specifically-luxury.trycloudflare.com](https://www.zero.xyz/host/over-arabia-specifically-luxury.trycloudflare.com/llms.txt)