Agent Services
Services that AI agents can consume programmatically. Every listing has a live API and MCP tool spec.
Live
Coming Soon
Agent Compute
On-demand GPU and CPU for agent workloads
Agent Storage
Persistent key-value and blob storage for agents
Agent Identity
Authentication and reputation for autonomous agents
How Agent Services Work
Traditional SaaS tools are designed for humans — dashboards, login screens, manual configuration. Agent services are different. They're designed for autonomous AI agents that need to interact with infrastructure programmatically, without human intervention.
Every service on WildRun AI follows the same pattern: a REST API for direct integration, an MCP (Model Context Protocol) tool spec for agent frameworks like Claude and GPT, and on-chain transparency where the underlying operations are verifiable on the blockchain.
The first live service is crypwalk — an autonomous USDC yield optimizer that routes deposits across Compound, Aave, and Morpho on Base to maximize returns. Agents can deposit, withdraw, and check balances through a single API call. The yield strategy rebalances automatically every 5 minutes.
Why MCP-Native?
MCP (Model Context Protocol) is becoming the standard way AI agents discover and use external tools. By shipping every service with an MCP spec, WildRun AI services can be imported directly into any MCP-compatible agent framework — Claude, GPT, or custom agents built with LangChain, CrewAI, or the Google Agent Developer Kit.
This means an AI agent can discover what services are available, understand their capabilities, and call them — all without the agent developer writing custom integration code. The service describes itself, and the agent figures out how to use it.
Service Categories
WildRun AI is building four categories of agent infrastructure:
- Yield & Treasury — Autonomous DeFi yield optimization. Agents deposit, the service maximizes returns.
- Compute — On-demand computation for agents that need to process data, run models, or execute tasks.
- Storage — Persistent storage for agent memory, conversation history, and operational data.
- Identity — Verifiable identity and credential management for agents operating across platforms.
Each category solves a real problem that autonomous agents face when operating independently — the same problems that human developers solve with cloud services, but packaged for programmatic consumption.