Use when an agent needs vectors for search, RAG, clustering or dedup. Input: tex...
https://1gateway.dev/v1/ai/embedOverview
Use when an agent needs vectors for search, RAG, clustering or dedup. Input: text (GET) or POST JSON {texts:[...]} with up to 32 strings of max 2000 chars each. Output: model, dims (1024), embeddings with index and vector; compare with cosine similarity. Multilingual (100+ languages, strong Korean). Not stored. Example: ?text=x402%20pay-per-call%20API
Protocol
x402 (POST)
Price
$0.0020
Payment Asset
USD Coin
Payment Network
eip155:8453
Category
tools/search
Provider
Text Embeddings
Source
bazaar
Indexed
2026-11-07 06:03:31
Health
Status
unknown
Latency (p50)
—
Uptime (30d)
—
Reliability Score
—
Last Checked
Never
Last Healthy
Never
Consecutive Failures
0
x402 Payment Validation
Payment Requirements
—
Asset Verified
—
Facilitator
—
Input Schema
{
"body": {
"texts": [
"x402 pay-per-call API for AI agents",
"에이전트를 위한 결제형 API"
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Output Schema
{
"example": {
"count": 2,
"dims": 1024,
"embeddings": [
{
"chars": 35,
"embedding": [
-0.050507
],
"index": 0
}
],
"model": "@cf/baai/bge-m3",
"notes": [
"BGE-M3 (BAAI, MIT license) dense vectors on Cloudflare Workers AI; multilingual (100+ languages), compare with cosine similarity. Text is not stored."
]
},
"type": "json"
}