x402.forgemesh.io
Vector embeddings API: converts up to 64 pieces of text per call into 768-dimensional numeric vectors suitable for similarity comparison, no separate provider account or key needed. Pay per call in USDC, and nothing submitted is retained afterward. Use it to build semantic search indexes, cluster related documents, or de-duplicate near-identical text at scale.
Offering
- Provider
- x402.forgemesh.io
- Method
- POST
- Offering type
- Api Endpoint
- Transport type
- http
- Category
- Data
- Delivery
- Not provided
- Pricing model
- Not provided
- x402 version
- 2
Endpoint context
- URL
https://x402.forgemesh.io/text-vectorizer- MIME type
- application/json
- First seen
- 2026-10-16T01:54:06.400Z
- Last seen
- Tags
- None supplied
Payment pricing
x402 payment terms are the authoritative price for calling this endpoint.
- Payment option 1
- 0.005 USDC
Atomic price: 5000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Raw x402 terms
[
{
"scheme": "exact",
"network": "eip155:8453",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "5000",
"payTo": "0x850363a27F0aC6fEb9C7a3eC4C1d295262dF9432"
}
]Observed health
- Status
- Healthy
- Latest latency
- 82 ms
- Average latency
- 404 ms
- HTTP status
- 200
- Last checked
- Reachability
- 100% over 13 checks
Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.
Input schema
{
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"type": "string",
"enum": [
"POST"
]
},
"bodyType": {
"type": "string",
"enum": [
"json",
"form-data",
"text"
]
},
"body": {
"type": "object",
"properties": {
"texts": {
"type": "array",
"items": {
"type": "string"
},
"description": "1-64 texts to embed"
},
"text": {
"type": "string",
"description": "single text alternative to texts[]"
}
}
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"additionalProperties": false
}Output schema
{
"type": "object",
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
},
"required": [
"type"
]
}