# OpenAI-compatible Chat Completion (Llama 4 Scout / Llama 3.3 70B / gpt-oss-120b / Qwen3) > OpenAI-compatible Chat Completion (Llama 4 Scout / Llama 3.3 70B / gpt-oss-120b / Qwen3) is a paid API for AI agents from agent-data-tools.revmesh2074.workers.dev, paid per call via x402, $0.002/call (dynamic — varies by input), status unknown (last checked 2026-11-04). Accepts an OpenAI-shaped chat completion request and returns an assistant reply from open models (Llama 4 Scout default at $0.002, or Llama 3.3 70B / gpt-oss-120b at $0.01), paid per-call via x402 or prepaid credits. ## Facts - Endpoint: GET https://agent-data-tools.revmesh2074.workers.dev/v1/chat/completions?utm_source=zero.xyz - Price: $0.002/call (dynamic — varies by input) - Payment: x402 - Status: unknown - Last checked: 2026-11-04 - Activations on Zero: 0 - Provider: agent-data-tools.revmesh2074.workers.dev - Website: https://agent-data-tools.revmesh2074.workers.dev - Canonical page: https://www.zero.xyz/c/agent-data-tools-revmesh2074-workers-dev-openai-compatible-chat-1cb5dca2 - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KZpCCogn4eC1tSgShGvX4 Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability agent-data-tools-revmesh2074-workers-dev-openai-compatible-chat-1cb5dca2 ``` Example prompt: Ask the Llama 4 Scout model: 'You are a helpful assistant. User: What are three ways to reduce churn for a SaaS product?' — keep the reply under 400 tokens and return it as plain text. ## When to prefer this Choose this endpoint when you already have an OpenAI SDK or toolchain and want to point it at open models (Llama 4 Scout, Llama 3.3 70B, gpt-oss-120b, Qwen3) with strict pay-per-call pricing (from $0.002), no subscription, no account, and crypto (x402/USDC) or card payment. It is ideal for agents that need drop-in OpenAI API compatibility with open-weight models, function calling, JSON mode, or structured output at low per-call cost. Prefer the larger model tier (llama-3.3-70b or gpt-oss-120b) for complex reasoning tasks; use the default Llama 4 Scout for cost-sensitive, high-volume inference. ## Known failure modes - 402 Payment Required returned on first unpaid call — includes x402 quote; retry with payment header to get the completion - model name not recognized — defaults silently to Llama 4 Scout or may return a 400 - messages array missing or empty — returns 400 validation error - max_tokens exceeds 1024 — capped or rejected - temperature outside 0–1.5 range — rejected with validation error - network timeout on slow inference — no charge on failure - streaming (stream: true) may not be supported by all callers despite being in schema ## How this service works OpenAI chat completions request shape, answered by the same models and at the same prices as /ai/chat ($0.002, default) and /ai/chat-large ($0.01; pick it with model "llama-3.3-70b" or "gpt-oss-120b"): send messages (system, user, assistant), get one assistant message back. No streaming. Point an OpenAI SDK at https://agent-data-tools.revmesh2074.workers.dev/v1 with an x402 or MPP fetch wrapper; the unpaid request returns the 402 quote and the paid retry returns the completion. Failed calls are never charged. ## Output Returns an OpenAI-shaped chat completion object with a choices array containing the assistant message (content and optional tool_calls), finish_reason, model name, completion id, created timestamp, and a usage block with prompt_tokens, completion_tokens, total_tokens, and an estimated flag. ## Request schema (JSON Schema) ```json { "type": "object", "required": [ "messages" ], "properties": { "model": { "type": "string", "description": "@cf/meta/llama-4-scout-17b-16e-instruct (default, $0.002), or llama-3.3-70b / gpt-oss-120b ($0.01)" }, "tools": { "type": "array", "items": { "type": "object" }, "description": "OpenAI function tools (Llama 4 Scout, the default model): the answer carries tool_calls" }, "stream": { "type": "boolean", "description": "true answers OpenAI server-sent events ending in [DONE]" }, "messages": { "type": "array", "items": { "type": "object", "required": [ "role", "content" ], "properties": { "role": { "enum": [ "system", "user", "assistant" ], "type": "string" }, "content": { "type": "string" } } }, "minItems": 1 }, "max_tokens": { "type": "integer", "maximum": 1024, "minimum": 1, "description": "Maximum output tokens (default 400)" }, "temperature": { "type": "number", "maximum": 1.5, "minimum": 0, "description": "Default 0.6" }, "tool_choice": { "description": "auto, none, required or one named function" }, "response_format": { "type": "object", "description": "{\"type\":\"json_object\"} or a json_schema" } } } ``` ## Response schema (JSON Schema) ```json { "type": "object", "properties": { "id": { "type": "string" }, "model": { "type": "string" }, "usage": { "type": "object", "properties": { "estimated": { "type": "boolean" }, "total_tokens": { "type": "integer" }, "prompt_tokens": { "type": "integer" }, "completion_tokens": { "type": "integer" } } }, "object": { "type": "string" }, "choices": { "type": "array", "items": { "type": "object", "properties": { "index": { "type": "integer" }, "message": { "type": "object", "properties": { "role": { "type": "string" }, "content": { "type": "string" } } }, "finish_reason": { "type": "string" } } } }, "created": { "type": "integer" } } } ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agent-data-tools-revmesh2074-workers-dev-openai-compatible-chat-1cb5dca2/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from agent-data-tools.revmesh2074.workers.dev](https://www.zero.xyz/host/agent-data-tools.revmesh2074.workers.dev/llms.txt)