g1ls6204.nx.link
No description published for this endpoint.
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fcd6edb6e08f4c7c32d4f71b54bda02913
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
That figure is in the token’s smallest units. Roundhouse does not hold this contract’s decimals, so it is shown as published rather than converted.
- Paid to
- 0xDE3E…20e08
- USD Coin contract
- 0x8335…02913
- Payment window
- 24 hours
- Buys
- NetMind AI https://api.netmind.ai - POST Advanced PDF Data Extraction & Layout Preservation.
- Returns
- application/json
The catalog’s raw entry
[
{
"asset": "0x833589fcd6edb6e08f4c7c32d4f71b54bda02913",
"payTo": "0xDE3E24d5101eF87EAc1390E8b046f5124D620e08",
"scheme": "exact",
"network": "eip155:8453",
"mimeType": "application/json",
"resource": "https://g1ls6204.nx.link/inference-api/agent/v1/parse-pdf",
"description": "NetMind AI https://api.netmind.ai - POST Advanced PDF Data Extraction & Layout Preservation.",
"outputSchema": {
"info": {
"title": "NetMind AI Inference API",
"version": "1.0.0",
"description": "API for PDF parsing with VLM capabilities"
},
"paths": {
"/inference-api/agent/v1/parse-pdf": {
"post": {
"tags": [
"PDF Processing"
],
"summary": "Parse PDF document",
"security": [
{
"bearerAuth": []
}
],
"responses": {
"200": {
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"description": "Parsed PDF content in the requested format"
},
"message": {
"type": "string",
"example": "PDF parsed successfully"
},
"success": {
"type": "boolean",
"example": true
}
}
}
}
},
"description": "PDF parsed successfully"
},
"400": {
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"error": {
"type": "string",
"example": "Invalid URL or PDF format"
},
"success": {
"type": "boolean",
"example": false
}
}
}
}
},
"description": "Bad request - invalid parameters"
},
"401": {
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"error": {
"type": "string",
"example": "Unauthorized"
},
"success": {
"type": "boolean",
"example": false
}
}
}
}
},
"description": "Unauthorized - invalid or missing API token"
},
"500": {
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"error": {
"type": "string",
"example": "Internal server error"
},
"success": {
"type": "boolean",
"example": false
}
}
}
}
},
"description": "Internal server error"
}
},
"description": "Extract content from PDF files with optional Visual Language Model processing",
"operationId": "parsePdf",
"requestBody": {
"content": {
"application/json": {
"schema": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"format": "uri",
"example": "https://raw.githubusercontent.com/protagolabs/netmind-python/main/demo/test.pdf",
"description": "Publicly accessible URL of the PDF file to parse"
},
"vlm": {
"type": "boolean",
"default": false,
"example": true,
"description": "Whether to use Visual Language Model for enhanced processing"
},
"format": {
"enum": [
"json",
"text",
"html"
],
"type": "string",
"default": "json",
"example": "json",
"description": "Output format for the parsed content"
}
}
}
}
},
"required": true
}
}
}
},
"openapi": "3.0.3",
"components": {
"securitySchemes": {
"bearerAuth": {
"type": "http",
"scheme": "bearer",
"description": "API token for authentication",
"bearerFormat": "JWT"
}
}
}
},
"maxAmountRequired": "0.01",
"maxTimeoutSeconds": 86400
}
]Provenance
- Seen in the source catalog
- 2025-11-05 03:54Z
- Last indexed by Roundhouse
- 2026-09-25 20:45Z
- Last enriched (probe, favicon, geo)
- 2026-09-20 23:45Z
- x402 version
- 1
- Max timeout
- 86400s
- Liveness probe
- HTTP 404
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
Nothing indexed for this service or its provider yet. Not a claim that it is unused — only that we hold no record. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service g1ls6204.nx.link and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=g1ls6204.nx.link' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://g1ls6204.nx.link/inference-api/agent/v1/parse-pdf, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.