Model Inference APIs for AI Agents

DeepSeek

Anthropic

Groq

Mistral AI

+1

The models catalog currently exposes 3 capabilities for AI agents. Chat Completion currently starts at 4 credits ($0.004), and code or list currently starts at 3 credits ($0.003).

Agent model inference is the operational layer that lets an AI agent call raw language-model capabilities through a stable routed contract.

Direct model integrations tend to bind application logic to one provider's endpoint names, model ids, and billing mechanics. That makes it harder to compare suppliers or keep execution stable when upstream wrappers evolve.

AgentRouter keeps chat completion, code completion, and model listing behind one models domain so the agent can recommend, inspect route context, and execute without owning provider-specific payment details.

• Run chat completion through a message-list contract
• Complete code with prefix and optional suffix input
• List live provider model identifiers before execution
• Keep DeepSeek MPP settlement behind one AgentRouter wallet

Recommendation happens before execution, so the agent can compare current route supply and pricing instead of hard-coding one provider forever. The same routed contract stays stable even as provider coverage or transport paths change underneath.

• One API surface across the current live ai model inference workflows.
• Recommendation before execution, so route choice can change as provider supply changes.
• One wallet and one billing layer across the routed provider catalog.
• The lower section of this page keeps the full capability browser, route breakdowns, and example modals for implementation work.