Sentence embeddings (all-MiniLM-L6-v2, 384 dimensions, L2-normalized, multilingu
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.
Answeringour last check, 2026-10-10
1 of 1checks answered this week
887 msmedian answer time
$0.002listed price per call
$0.002price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://agentsvc.io/api/v1/proxy/text-embed
| Category | Search and research |
|---|---|
| Provider host | agentsvc.io |
| Networks | eip155:137, eip155:42161, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 11 from 3 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-10 | valid payment request | 402 | $0.002 | 887 ms |
Example input (from the provider)
{
"body": {
"documents": [
"x402 lets agents pay per call with USDC",
"The cat sat on the mat",
"Weather in Berlin is sunny"
],
"query": "how do AI agents pay for APIs?"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"documents": {
"items": {
"type": "string"
},
"maxItems": 64,
"type": "array"
},
"include_embeddings": {
"default": false,
"type": "boolean"
},
"query": {
"type": "string"
},
"texts": {
"items": {
"type": "string"
},
"maxItems": 32,
"type": "array"
},
"top_k": {
"maximum": 64,
"minimum": 1,
"type": "integer"
}
},
"required": []
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"data": {
"properties": {
"mode": {
"type": "string"
},
"model": {
"properties": {
"dimensions": {
"type": "integer"
},
"max_tokens": {
"type": "integer"
},
"name": {
"type": "string"
},
"normalized": {
"type": "boolean"
},
"quantization": {
"type": "string"
},
"similarity": {
"type": "string"
}
},
"type": "object"
},
"query": {
"type": "string"
},
"results": {
"items": {
"properties": {
"document": {
"type": "string"
},
"index": {
"type": "integer"
},
"score": {
"type": "number"
}
},
"type": "object"
},
"type": "array"
}
},
"required": [
"mode",
"model"
],
"type": "object"
},
"success": {
"type": "boolean"
}
},
"required": [
"success",
"data"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}