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AgentRXI GLM-4.7-Flash Chat Completion
x402
AgentRXI GLM-4.7-Flash Chat Completion is a paid API for AI agents from agentrxi.com, paid per call via x402, $0.004462/call, status unknown (last checked 2026-10-15).
Pay-per-call LLM chat completion using GLM-4.7-Flash via an OpenAI-compatible interface, paid per call in USDC with no API key or signup required.
Price / call$0.004462
Success—
StatusUnknown
How this service works
OpenAI-compatible chat completions on Zhipu GLM 4.7 Flash, reasoning and tool calling. Set your OpenAI SDK base URL to https://agentrxi.com/v1/glm and pay per token with x402 instead of an API key: $0.18 per million input and $1.2 per million output tokens, minimum $0.002 a call, at most $0.0082. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (tool calling, reasoning, streaming supported), up to 409
Output
Returns an OpenAI-compatible JSON chat completion object including the assistant's reply text, finish reason, token usage breakdown (prompt, completion, total), model name (glm-4.7-flash), and a unique completion ID.
Example use cases
Multilingual customer greeting generation
“Use the GLM-4.7-Flash model to translate and rephrase this greeting into formal French: 'Welcome to our service, how can we help you today?' Keep it under 50 tokens.”
Quick factual QA for agent pipeline
“Ask the GLM model: 'What is the capital of Brazil?' — I need a short factual answer, max 20 tokens, no extra commentary.”
Dynamic system-prompted assistant
“Run a GLM-4.7-Flash chat completion with the system message 'You are a concise legal assistant' and user prompt 'Summarize what a non-disclosure agreement does in two sentences.' Limit it to 100 tokens.”
Technical details
Endpoint
GEThttps://agentrxi.com/v1/glm/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a lightweight, low-cost LLM inference call without any API key or account setup, especially if you're already using x402 USDC micropayments. It's ideal for agents needing quick, OpenAI-compatible chat completions at a fixed per-call price, and particularly useful when GLM-4.7-Flash's multilingual strengths (especially Chinese) are an advantage over Western-centric models.
Side effects
- Missing required 'prompt' query parameter returns a 400 error
- Insufficient USDC payment or failed x402 payment flow returns a 402 error
- Exceeded max_tokens limit may cause truncated output with finish_reason 'length'
- Invalid temperature value (outside 0–2 range) may cause a 422 validation error
- Network timeout if the model takes too long to respond
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-...",
"model": "glm-4.7-flash",
"usage": {
"total_tokens": 18,
"prompt_tokens": 14,
"completion_tokens": 4
},
"object": "chat.completion",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Bonjour !"
},
"finish_reason": "stop"
}
]
}
}Tags
x402
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