# Autumn Eight Embeddings Endpoint

> Autumn Eight Embeddings Endpoint is a paid API for AI agents from x402.autumn8.net, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-10).

Generates vector embeddings from input text, payable per call via x402 micropayment protocol

## Facts

- Endpoint: POST https://x402.autumn8.net/v1/embeddings?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/autumn-eight-embeddings-endpoint-3f860a89
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Mb3sBy4-F5HhdHO6csKyG

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 autumn-eight-embeddings-endpoint-3f860a89 -d '<json body>'
```

Example prompt: Embed this text using Autumn Eight's inference broker so I can store it in my vector database: 'Customer complained about late delivery and poor packaging quality.'

## When to prefer this

Choose this endpoint when you need pay-per-call text embeddings without a subscription or API key setup, especially in agentic workflows where autonomous micropayment via x402 is desirable. Ideal for bursty or low-volume embedding needs, or when building agent pipelines that need to self-fund inference costs programmatically.

## Known failure modes

- Payment failure or insufficient USDC balance causes 402 Payment Required response
- Invalid or missing input text returns 400 Bad Request
- Unsupported model name returns 400 or 422 validation error
- Rate limiting or overload returns 429 Too Many Requests
- Network timeout on large input batches
- Empty input array returns error or empty embedding list

## How this service works

Agent-payable inference. Chat, embeddings, rerank, transcription and speech.

## Output

Returns a JSON object containing an array of float vectors (one embedding per input), along with model metadata and token usage counts. Each embedding is a high-dimensional float array suitable for cosine similarity search, storage in vector databases, or downstream ML tasks.

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/autumn-eight-embeddings-endpoint-3f860a89/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402.autumn8.net](https://www.zero.xyz/host/x402.autumn8.net/llms.txt)