SCOPE Research API
Generate text embeddings and semantic embedding vectors using OpenAI text-embedding-3-small for vector search, semantic similarity, clustering, retrieval, and RAG workflows.
Offering
- Provider
- scopeapi.dev
- Method
- POST
- Offering type
- Api Endpoint
- Transport type
- http
- Category
- Development
- Delivery
- Not provided
- Pricing model
- Not provided
- x402 version
- 2
Endpoint context
- URL
https://scopeapi.dev/embeddings- MIME type
- Not provided
- First seen
- 2026-10-16T01:50:06.715Z
- Last seen
- Tags
- text embeddings, embedding vectors, vector search, semantic similarity, retrieval
Payment pricing
x402 payment terms are the authoritative price for calling this endpoint.
- Payment option 1
- 0.003 USDC
Atomic price: 3000 · Network: eip155:8453 · Asset: USDC · Scheme: exact - Payment option 2
- 0.003 USDC
Atomic price: 3000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
{
"scheme": "exact",
"network": "eip155:8453",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "3000",
"payTo": "0xD0cB67aF1ADbF8982ED1Cd085cD4B845704609Ce"
},
{
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"amount": "3000",
"payTo": "CBLvRo73JcDUcJUq7649YfNxp8cpY1rxuofNKoMnRP43"
}
]Observed health
- Status
- Healthy
- Latest latency
- 31 ms
- Average latency
- 1382 ms
- HTTP status
- 204
- Last checked
- Reachability
- 93.3% over 15 checks
Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.
Input schema
{
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"input": {
"oneOf": [
{
"type": "string"
},
{
"items": {
"type": "string"
},
"maxItems": 16,
"minItems": 1,
"type": "array"
}
]
}
},
"required": [
"input"
]
},
"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 schema
{
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}