Text embeddings for AI agents — no API key, no account, no signup; pay per call
Text embeddings for AI agents — no API key, no account, no signup; pay per call in USDC on Base. POST JSON { input: string or string[] (max 64 per call) }. Model is jina-embeddings-v3, 1024 dimensions, retrieval.passage task. Returns { model, embeddings (one vector per input), dimensions, count, usage, latency_ms }. For agents building a vector index or doing semantic search without a Jina or OpenAI key.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
41 msmedian answer time
$0.01listed price per call
$0.01price 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://uxus.finance/api/embed
| Category | Search and research |
|---|---|
| Provider host | uxus.finance |
| Networks | base |
| Payment schemes | exact |
| Self-reported calls, 30 days | 3 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.01 | 41 ms |
Example input (from the provider)
{
"body": {
"input": {
"description": "Text to embed, or an array of up to 64 strings.",
"type": "string | string[]"
}
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"properties": {
"body": {
"type": "object"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}