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LLM API Anthropic-Style Messages Endpoint
LLM API Anthropic-Style Messages Endpoint is a paid API for AI agents from agents.llmapi.ai, paid per call via MPP, price unknown, status unknown (last checked 2026-10-17).
Sends an Anthropic-style message request to a selected frontier LLM model and returns a non-streaming text completion.
Price / call—
Success—
StatusUnknown
How this service works
Anthropic Messages API shape, returned in full as one JSON response. model must be one of the storefront models: claude-opus-5, claude-sonnet-5, gpt-5.2, gpt-5.1, gpt-5-mini, gemini-3.1-pro-preview, gemini-3.7-flash, deepseek-v4-pro, deepseek-v4-flash, grok-4.6, kimi-k2.6, glm-5.3. Set stream to false; streaming requests are rejected. Billed per exact input and output token at the model's service rates.
Output
Returns an Anthropic-style response object containing the assistant's generated message content, the model used, stop reason, and token usage counts for input and output tokens.
Example use cases
On-demand LLM reasoning for agent pipeline
“Use claude-opus-5 to analyze this customer complaint and suggest a resolution in under 150 tokens: 'My order arrived damaged and customer support hasn't responded in 3 days.'”
Frontier model comparison for content draft
“Send this prompt to gpt-5.2 and give me the response with a max of 256 tokens: 'Write a two-sentence tagline for a sustainable sneaker brand targeting Gen Z athletes.'”
Automated code explanation task
“Query deepseek-v4-pro with the following message and cap the output at 512 tokens: 'Explain what this Python function does and identify any bugs: def fib(n): return n if n <= 1 else fib(n-1) + fib(n-2)'”
Technical details
Endpoint
POSThttps://agents.llmapi.ai/zc/v1/messages?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need pay-per-call access to a curated set of frontier models (Claude, GPT, Gemini, DeepSeek, Grok, Kimi, GLM) using the Anthropic native messages format, without committing to a subscription. Ideal for agents that need deterministic, non-streaming completions billed by exact token usage across multiple model families through a single unified API surface.
Side effects
- Invalid or unsupported model ID returns a validation error
- Omitting required fields (model, messages, max_tokens) causes a 400 bad request
- Setting stream to true is rejected by this storefront
- Exceeding token limits for the selected model causes an error
- Insufficient account credits results in a payment or authorization error
- Malformed messages array (wrong structure) returns a schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| modelrequired | string | One of the storefront model ids. |
| stream | boolean | Must be false or omitted on this storefront. |
| messagesrequired | array | Anthropic style message list. |
| max_tokensrequired | integer | Required output token ceiling. |
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