Embeds 1 to 100 strings into semantic vectors via Venice
Embeds 1 to 100 strings into semantic vectors via Venice. Tier shorthand: 'default' → gemini-embedding-2-preview (newest, recommended), 'fast' → text-embedding-bge-m3, 'openai-compat' → text-embedding-3-small. You can also pass a full Venice embedding model name. Returns a list of vectors aligned with input order. Use it for text embedding, vector embedding, Venice embeddings, Gemini embeddings, or BGE-M3.
Answeringour last check, 2026-10-03
1 of 1checks answered this week
29 msmedian answer time
$0.005listed price per call
$0.005price 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://x402.agentutility.ai/text-embedding
| Category | Everything else |
|---|---|
| Provider host | x402.agentutility.ai |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-03 | valid payment request | 402 | $0.005 | 29 ms |
Example input (from the provider)
{
"body": {
"model": "default",
"texts": [
"The first sentence",
"The second sentence"
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"model": {
"description": "Tier shorthand ('default'|'fast'|'openai-compat') or full Venice embedding model name. Default 'default'.",
"type": "string"
},
"texts": {
"description": "1 to 100 strings to embed; each up to 30,000 chars.",
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"texts"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"count": {
"type": "integer"
},
"dimensions": {
"type": "integer"
},
"embeddings": {
"items": {
"items": {
"type": "number"
},
"type": "array"
},
"type": "array"
},
"model": {
"type": "string"
},
"source": {
"type": "string"
},
"tier": {
"type": "string"
},
"usage": {
"properties": {
"prompt_tokens": {
"type": "integer"
},
"total_tokens": {
"type": "integer"
}
},
"type": "object"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}