MolCloud Text Embedding API is a paid API for AI agents from api.molcloud.net, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-17).
Converts input text into a 768-dimensional vector embedding for semantic similarity, search, and retrieval tasks
40 pay-per-request AI, search, headless browser, crypto alpha & memory APIs for autonomous agents settling in USDC on Base via x402 v2.
Returns a JSON object containing a 'data' field with the 768-dimensional float vector array and the dimension count, plus a 'status' field confirming success and the endpoint path. The vector can be directly inserted into any vector store or used for cosine similarity calculations.
POSThttps://api.molcloud.net/api/ai/embed?utm_source=zero.xyzChoose this endpoint when you need pay-per-use text embeddings without a subscription to OpenAI, Cohere, or similar providers, especially in autonomous agent pipelines that settle micropayments in USDC on Base via x402. Ideal for RAG pipelines, semantic search indexing, and similarity scoring where you need 768-dimensional vectors and want crypto-native billing with no API key management.
| Field | Type | Description |
|---|---|---|
| text | string | Input text to convert into a vector embedding |
{
"type": "json",
"example": {
"data": {
"vector": [
0.012,
-0.034
],
"dimensions": 768
},
"status": "success",
"endpoint": "/api/ai/embed"
}
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