Text embeddings for semantic search, clustering and RAG
Text embeddings for semantic search, clustering and RAG: 1024-dimension multilingual vectors (BGE-M3, 100+ languages). POST JSON {"input": ["first text", "second text"]} (up to 32 texts of 8,000 characters) or {"text": "one text"}. One price per call, however many texts. No API key needed.
Answeringour last check, 2026-09-28
1 of 1checks answered this week
15 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://aayatai.com/embeddings
| Category | Market data |
|---|---|
| Provider host | aayatai.com |
| Networks | eip155:137, eip155:42161, 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 |
|---|---|---|---|---|
| 2026-09-28 | valid payment request | 402 | $0.002 | 15 ms |
Example input (from the provider)
{
"body": {
"input": [
"x402 lets AI agents pay per API call.",
"Stablecoin micropayments over HTTP."
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"input": {
"description": "Texts to embed.",
"items": {
"maxLength": 8000,
"type": "string"
},
"maxItems": 32,
"type": "array"
},
"text": {
"description": "A single text to embed (instead of input).",
"maxLength": 8000,
"type": "string"
}
},
"type": "object"
},
"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": {
"dimensions": {
"type": "integer"
},
"embeddings": {
"description": "One vector per input, same order.",
"items": {
"items": {
"type": "number"
},
"type": "array"
},
"type": "array"
},
"model": {
"type": "string"
}
},
"required": [
"model",
"dimensions",
"embeddings"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}