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
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"
]
}