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PayWeave Retrieval – Text Embedding API
x402
PayWeave Retrieval – Text Embedding API is a paid API for AI agents from retrieval.payweave.services, paid per call via x402, $0.0002/call, status unknown (last checked 2026-09-13).
Generates dense vector embeddings for input texts using Cloudflare Workers AI BGE models, supporting up to 100 texts per call with multilingual and high-dimensional options.
Price / call$0.0002
Success—
StatusUnknown
How this service works
Text embeddings and reranking on Cloudflare Workers AI.
Output
Returns a JSON object containing the model ID used, the dimensionality of each vector, and an ordered array of floating-point embedding vectors — one per input text — matching the order of the input texts array.
Example use cases
Example prompt
“Embed these three product descriptions using the bge-large model so I can index them in my vector store: 'Lightweight running shoes with foam sole', 'Waterproof hiking boots for trail use', and 'Casual canvas sneakers for everyday wear'.”
Technical details
Endpoint
POSThttps://retrieval.payweave.services/embedWhen to prefer
Choose this endpoint when you need pay-per-call text embeddings with no subscription, especially if you want BGE-family models (bge-base for speed, bge-large for quality, bge-m3 for multilingual) running on Cloudflare's edge infrastructure. Ideal for sporadic or burst embedding workloads where a prepaid USDC micropayment model is acceptable.
Side effects
- Exceeding 100 texts per request returns a validation error
- Individual text exceeding 2000 characters may be rejected or truncated
- Invalid model name falls back to default or returns an error
- Empty texts array returns a validation error
- Payment failure (x402) returns HTTP 402 before any embedding is computed
- Network timeout on large batches of long texts
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | Embedding model: `bge-base` (768d, default), `bge-large` (1024d, higher quality), or `bge-m3` (1024d, multilingual). Defaults to `bge-base`. |
| textsrequired | array | Texts to embed, in order. 1-100 items, each up to 2000 characters. Priced per text. |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| modelrequired | string | Workers AI model id used |
| dimensionsrequired | integer | Length of each embedding vector |
| embeddingsrequired | array | One embedding vector per input text, in the same order as `texts` |
Tags
x402
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