Api Endpoint

api.glianalabs.com

GlianaAI - pay-per-call AI: LLM chat (OpenAI-compatible), image, video, music, speech - 100+ models, no signup, USDC. This resource: LLM chat — pass any catalog model id in the body (default minimax-m3). Priced PER REQUEST from the model and input you send, from $0.002000; send the body to read its exact price off the 402. https://ai.glianalabs.com

Open interactive test console

Offering

Provider
api.glianalabs.com
Method
GET
Offering type
Api Endpoint
Transport type
http
Category
Other
Delivery
Not provided
Pricing model
Not provided
x402 version
2

Endpoint context

URL
https://api.glianalabs.com/x402/chat/completions
MIME type
application/json
First seen
2026-10-23T23:28:17.324Z
Last seen
Tags
None supplied

Payment pricing

x402 payment terms are the authoritative price for calling this endpoint.

Payment option 1
0.002 USDC
Atomic price: 2000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.002 USDC
Atomic price: 2000 · Network: eip155:8453 · Asset: USDC · Scheme: upto
Payment option 3
0.002 USDC
Atomic price: 2000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "2000",
    "payTo": "0x7662E00f8Ab4C362166e1FF649Ff6c2A638c80AD"
  },
  {
    "scheme": "upto",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "2000",
    "payTo": "0x7662E00f8Ab4C362166e1FF649Ff6c2A638c80AD"
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "2000",
    "payTo": "CXSdm7NgrFXooHbvN6CdNgMvmqTkVLzu6JCVZR3J3Ygh"
  }
]

Observed health

Status
Healthy
Latest latency
799 ms
Average latency
797 ms
HTTP status
402
Last checked
Reachability
100% over 7 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": [
        "GET"
      ]
    },
    "bodyType": {
      "type": "string",
      "enum": [
        "json",
        "form-data",
        "text"
      ]
    },
    "body": {
      "type": "object",
      "required": [
        "messages"
      ],
      "properties": {
        "model": {
          "type": "string",
          "description": "Any catalog model id for llm chat. Defaults to minimax-m3. GET /v1/models lists them."
        },
        "messages": {
          "type": "array",
          "description": "OpenAI-style chat messages: [{ role: \"user\" | \"system\" | \"assistant\" | \"tool\", content }]. Vision: content may be a parts array with { type: \"image_url\", image_url: { url } } (public URL — upload via POST /v1/media)."
        },
        "max_tokens": {
          "type": "integer",
          "description": "Output-token cap — bounds the pre-charged price ceiling. Default 1024."
        },
        "temperature": {
          "type": "number",
          "description": "Sampling temperature. Passed through where the provider supports it."
        },
        "top_p": {
          "type": "number",
          "description": "Nucleus sampling. Passed through where the provider supports it."
        },
        "stream": {
          "type": "boolean",
          "description": "true → Server-Sent Events in the OpenAI chunk format (on /v1/chat/completions)."
        },
        "tools": {
          "type": "array",
          "description": "OpenAI-style function tools: [{ type: \"function\", function: { name, description, parameters } }]. The response returns tool_calls (finish_reason \"tool_calls\"); send results back as { role: \"tool\", tool_call_id, content }."
        },
        "tool_choice": {
          "type": "string",
          "description": "\"auto\" (default) | \"none\" | \"required\" | { type: \"function\", function: { name } }."
        }
      },
      "additionalProperties": true
    }
  },
  "required": [
    "type",
    "method",
    "bodyType",
    "body"
  ],
  "additionalProperties": false
}

Output schema

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string"
    },
    "example": {
      "type": "object"
    }
  },
  "required": [
    "type"
  ]
}