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agentdrop.fyi Chat Completions
x402
agentdrop.fyi Chat Completions is a paid API for AI agents from agentdrop.fyi, paid per call via x402, $0.002/call, status unknown (last checked 2026-11-01).
OpenAI-compatible chat completions endpoint providing access to frontier models including GPT-6.1, Claude Sonnet 5.5, Gemini 3.8 Flash, Grok 4.7, and others via a single unified API.
Price / call$0.002
Success—
StatusUnknown
How this service works
OpenAI-compatible chat completions on frontier models: GPT-6.1 Sol and Terra, GPT-5.5, Claude Sonnet 5.5 and Haiku 5.5, Gemini 3.8 Flash, Grok 4.7, GPT-6 Luna, gpt-oss.
Output
Returns an OpenAI-compatible chat completion response object including the assistant's generated message content, the model used, token usage statistics (prompt, completion, total), finish reason, and a unique completion ID. The response structure mirrors the OpenAI Chat Completions API format for easy drop-in compatibility.
Example use cases
Dynamic model routing for agent pipelines
“I need you to call the multi-model LLM gateway and use Gemini 3.8 Flash to quickly summarize this support ticket, then follow up with Claude Sonnet 5.5 for a more nuanced recommended response — route each step to the best model for the task.”
Cost-efficient frontier model access
“Use the pay-per-call LLM endpoint with GPT-5.5 to classify these 10 customer emails into 'billing', 'technical', or 'general inquiry' — I want to avoid paying a monthly subscription and just pay per request.”
Agentic reasoning with Grok or GPT-6.1
“Have the frontier model gateway use GPT-6.1 Sol to reason through this multi-step math problem and show its work step by step before giving the final answer.”
Technical details
Endpoint
POSThttps://agentdrop.fyi/ai/v1/chat/completions?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need OpenAI-compatible chat completions from multiple frontier model families (OpenAI, Anthropic, Google, xAI) through a single API, especially in agentic workflows where you want to dynamically route to different models per task. Prefer this over individual provider APIs when you want pay-per-call micropayment billing via x402 without managing multiple API keys or subscriptions. Ideal for agents that need model diversity without vendor lock-in.
Side effects
- Invalid or unsupported model name returns an error — must use exact model identifiers like 'gpt-6.1-sol' or 'claude-sonnet-5.5'
- Payment failure or insufficient USDC balance results in 402 Payment Required via x402 protocol
- Malformed messages array or missing required fields returns a 400 Bad Request
- Rate limiting or upstream provider outage may return 503 or timeout
- Context length exceeded for the selected model returns an error with token count details
Tags
x402
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