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Proxy Text Embed
by Text Embeddings and Rerank in AI models & inference
x402 APIPassing, checked 3 h ago
Sentence embeddings (all-MiniLM-L6-v2, 384 dimensions, L2-normalized, multilingual input works best in English) for semantic search, clustering and deduplication, or rerank mode: pass query + documents to get documents sorted by cosine similarity. Runs locally, texts are not stored. Params: texts (1 to 32 strings, max 2000 chars each) for embed mode, or query + documents (up to 64) and top_k for rerank mode.
POST https://agentsvc.io/api/v1/proxy/text-embed
Last 30 days
All checks passedSome failedAll failedNot checked
- Uptime
- 100%
- Response time
- 38 ms typical, 38 ms slowest 5%
- Last check
- 3 h ago
- Next check
- any minute now
How to call it
# See the payment challenge (nothing is charged)
curl -i -X POST "https://agentsvc.io/api/v1/proxy/text-embed" \
-H "content-type: application/json" \
-d '{"documents":["x402 lets agents pay per call with USDC","The cat sat on the mat","Weather in Berlin is sunny"],"query":"how do AI agents pay for APIs?"}'import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";
const client = new x402Client().register(
"eip155:8453",
new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);
// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagentsvc.io%2Fapi%2Fv1%2Fproxy%2Ftext-embed
const res = await pay("https://agentsvc.io/api/v1/proxy/text-embed", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({"documents":["x402 lets agents pay per call with USDC","The cat sat on the mat","Weather in Berlin is sunny"],"query":"how do AI agents pay for APIs?"}),
});
console.log(await res.json());Example input
{
"documents": [
"x402 lets agents pay per call with USDC",
"The cat sat on the mat",
"Weather in Berlin is sunny"
],
"query": "how do AI agents pay for APIs?"
}Example output
{
"data": {
"mode": "rerank",
"model": {
"dimensions": 384,
"max_tokens": 256,
"name": "sentence-transformers/all-MiniLM-L6-v2",
"normalized": true,
"quantization": "int8",
"similarity": "cosine (dot product of normalized vectors)"
},
"query": "how do AI agents pay for APIs?",
"results": [
{
"document": "x402 lets agents pay per call with USDC",
"index": 0,
"score": 0.495209
},
{
"document": "The cat sat on the mat",
"index": 1,
"score": 0.005939
},
{
"document": "Weather in Berlin is sunny",
"index": 2,
"score": -0.050145
}
]
},
"success": true
}Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time | Price |
|---|---|---|---|---|
| 3 h ago | Passed | 402 | 38 ms | $0.002 |
| 6 h ago | Passed | 402 | 37 ms | $0.002 |
| 11 h ago | Passed | 402 | 46 ms | $0.002 |