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Citiview GLM-5.3-Flash Chat Completions
x402
Citiview GLM-5.3-Flash Chat Completions is a paid API for AI agents from agents.citiviewgroup.com, paid per call via x402, $0.005081/call, status down (last checked 2026-10-30).
Runs a user prompt through the GLM-5.3-Flash language model and returns an OpenAI-compatible chat completion response, pay-per-call via USDC.
Price / call$0.005081
Success—
StatusDown
How this service works
OpenAI-compatible chat completions on Zhipu GLM-5.3 Flash, inexpensive reasoning with tool calling and a 1M-token context. Set your OpenAI SDK base URL to https://agents.citiviewgroup.com/v1/glm5-flash and pay per token with x402 instead of an API key: $0.45 per million input and $1.5 per million output tokens, minimum $0.002 a call, at most $0.0401. The 402 quotes your request's maximum; "upto" payers are charged only the tokens used. Same request/response shape as OpenAI (t
Output
Returns an OpenAI-compatible JSON object with a `choices` array containing the assistant's reply message, finish reason, token usage breakdown (prompt, completion, total tokens), model name ('glm-5.3-flash'), and a completion ID.
Example use cases
Agent reasoning step with cheap LLM
“Use the GLM Flash model to decide which of these three options is most cost-effective given this budget breakdown — I want a quick answer, nothing fancy, just its best recommendation.”
Keyless LLM for automated pipeline
“My pipeline needs to call an LLM to classify customer intent from this message: 'I want to cancel my subscription immediately.' Have GLM-5.3-Flash label it as one of: cancel, upgrade, support, or other — no signup required.”
Multilingual reply generation
“Generate a polite French reply to this English customer complaint using the GLM Flash model, keeping it under 80 words: 'Your delivery was 5 days late and the package arrived damaged.'”
Technical details
Endpoint
GEThttps://agents.citiviewgroup.com/v1/glm5-flash/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap OpenAI-compatible LLM call without API key management or signup — especially in agent pipelines where cost-per-call matters and GLM Flash quality is sufficient. Prefer it over heavier models when latency and cost are priorities and you are already using x402/USDC micropayments.
Side effects
- Missing required `prompt` query parameter returns an error
- Exceeding max_tokens limit may truncate output or return an error
- Malformed temperature values (outside 0–2 range) may cause rejection
- Insufficient USDC balance or failed x402 payment results in 402 Payment Required
- Model unavailability or upstream GLM API downtime returns a 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "chatcmpl-...",
"model": "glm-5.3-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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