GlianaAI

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

Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.

Endpoint

POST https://api.glianalabs.com/x402/chat/completions

Our checks, last 30 days

We never call tools that send, buy, move money or file anything, not even without paying.

Example input (from the provider)

{
  "body": {
    "messages": [
      {
        "content": "Summarize x402 in one sentence.",
        "role": "user"
      }
    ],
    "model": "minimax-m3"
  },
  "bodyType": "json",
  "method": "POST",
  "type": "http"
}

Promised output schema (from the provider)

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "body": {
          "additionalProperties": true,
          "properties": {
            "max_tokens": {
              "description": "Output-token cap \u2014 bounds the pre-charged price ceiling. Default 1024.",
              "type": "integer"
            },
            "messages": {
              "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 \u2014 upload via POST /v1/media).",
              "type": "array"
            },
            "model": {
              "description": "Any catalog model id for llm chat. Defaults to minimax-m3. GET /v1/models lists them.",
              "type": "string"
            },
            "stream": {
              "description": "true \u2192 Server-Sent Events in the OpenAI chunk format (on /v1/chat/completions).",
              "type": "boolean"
            },
            "temperature": {
              "description": "Sampling temperature. Passed through where the provider supports it.",
              "type": "number"
            },
            "tool_choice": {
              "description": "\"auto\" (default) | \"none\" | \"required\" | { type: \"function\", function: { name } }.",
              "type": "string"
            },
            "tools": {
              "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 }.",
              "type": "array"
            },
            "top_p": {
              "description": "Nucleus sampling. Passed through where the provider supports it.",
              "type": "number"
            }
          },
          "required": [
            "messages"
          ],
          "type": "object"
        },
        "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": {
      "properties": {
        "example": {
          "type": "object"
        },
        "type": {
          "type": "string"
        }
      },
      "required": [
        "type"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}

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