# Argo Hub — Visual Language LLM Inference (x402)

> Argo Hub — Visual Language LLM Inference (x402) is a paid API for AI agents from diomedes.tail1c6d58.ts.net, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-18).

Runs vision-language model inference (Qwen VL 30B) on a private GPU fleet, billed per-call in USDC via the x402 payment protocol

## Facts

- Endpoint: POST https://diomedes.tail1c6d58.ts.net/premium/vl
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/argo-hub-visual-language-llm-inference-x402-bddde33c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TgnMcigxjDhWo-KlZcXan

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability argo-hub-visual-language-llm-inference-x402-bddde33c -d '<json body>'
```

Example prompt: Can you use the Argo Hub vision model to analyze this product photo and tell me what it shows — describe the objects, text, and any notable details you can see in it?

## When to prefer this

Choose this endpoint when you need vision-language model inference (understanding or describing images, charts, diagrams, or documents) with per-call USDC micropayments and no subscription required. Ideal for agents that need occasional multimodal AI without committing to a monthly API plan, or when operating in a Web3/x402 payment environment on Base.

## Known failure modes

- Payment failure if USDC balance insufficient or x402 facilitator unreachable
- Invalid or unsupported mimeType causes request rejection
- Missing required fields (description, mimeType, input.method) returns validation error
- Image too large or unresolvable URL may cause inference failure
- Model inference timeout on very complex visual inputs

## How this service works

x402-paid LLM APIs on a private GPU fleet (Qwen3.8-27B, VL 30B). USDC on Base, settle in seconds via a self-hosted facilitator. Unique: verifier-gated correctness on /premium/deep — wrong answers regenerated free. First call free, no wallet: POST /premium/first.

## Output

Returns a JSON object with a 'text' field containing the model's natural language response to the visual prompt, and a 'model_tier' field confirming the VL tier was used.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "description",
  "mimeType",
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "method"
   ],
   "properties": {
    "body": {
     "type": "object"
    },
    "type": {
     "type": "string"
    },
    "method": {
     "type": "string"
    },
    "bodyType": {
     "type": "string"
    },
    "input_schema": {
     "type": "object"
    }
   }
  },
  "output": {
   "type": "object"
  },
  "mimeType": {
   "type": "string"
  },
  "description": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "application/json",
 "example": {
  "text": "...",
  "model_tier": "vl"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/argo-hub-visual-language-llm-inference-x402-bddde33c/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from diomedes.tail1c6d58.ts.net](https://www.zero.xyz/host/diomedes.tail1c6d58.ts.net/llms.txt)