x402ai
Convert text into a 768-dimension embedding vector (nomic-embed-text) for semantic search, RAG retrieval, clustering, deduplication or similarity scoring. POST JSON {"input": string}, up to 3000 characters; returns {embedding: number[768], model, dimensions, elapsed_ms}. One text per call; English…
| Host | api.x402ai.dev |
|---|---|
| Price | $0.01–$0.04 per call |
| Network | Base |
| Paid endpoints listed | 3 |
| Calls, last 30 days* | 19 |
| Most unique payers on one endpoint (30 days)* | 7 |
| Last paid call* | 2026-10-16 |
| Tags | nlp, llm, embeddings, vector-search, rag, semantic-search, question-answering, qa |
* From the public x402 Bazaar index (snapshot 2026-10-18T04:07Z); reported by the facilitator, not measured by us.
Endpoints
| URL | Method | Price |
|---|---|---|
https://api.x402ai.dev/api/embedConvert text into a 768-dimension embedding vector (nomic-embed-text) for semantic search, RAG retrieval, clustering,… | POST | $0.01 |
https://api.x402ai.dev/api/askAnswers questions (single-turn question answering) from a small local LLM (qwen3.5 2B). Best for general knowledge,… | POST | $0.04 |
https://api.x402ai.dev/api/summarizeSummarize a passage of text into a short, concise summary with no preamble (qwen3.5 2B model). Good for condensing… | POST | $0.02 |
Source: x402 Bazaar discovery API (Coinbase CDP) · Licence: Public discovery metadata; descriptions by each provider. Listed in x402 pay-per-call APIs. We list tools; we do not test, rate or endorse them.
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