Autumn Integration for AI Agents
Connect your AI agent to 63 Autumn actions via MCP, A2A, or SDK, with agent authentication, tool-calling execution, and security built-in, plus 5 events to subscribe to.
Autumn AI Agent Actions
63 production-ready actions for your agent to do more on Autumn.
Autumn Webhook Events
5 real-time Autumn events your AI agent can subscribe to.
- Usage Alert Triggered Webhook Fired when a customer crosses a configured usage alert threshold for a feature.
- Limit Reached Webhook Fired when a customer reaches the limit for a feature (included allowance, max purchase, spend limit, or usage-limit control).
- Auto Top-Up Failed Webhook Fired when an automatic top-up is blocked, declined, or fails before granting additional prepaid balance.
- Auto Top-Up Succeeded Webhook Fired when an automatic top-up grants additional prepaid balance to a customer.
- Plans Updated Webhook Fired when a customer's plans change (activated, scheduled, updated, or expired), carrying a plan_changes array and tags describing why.
Do More, Build Less
Integration Infrastructure for Autumn AI Agents
88.7% prompt injection detection.
Prompt injection defense"What impressed us most about StackOne is its ambition and clarity. They're creating infrastructure that modern software and the entire AI agent ecosystem can rely on. The depth of secure integrations, the pace of delivery, and the team's foresight into AI's future uniquely position StackOne to redefine this category."
Luna Schmid, Partner at GV
"We've been impressed by how quickly and deeply StackOne integrates with complex enterprise systems -- and now, with their focus on agent-to-agent interoperability, they're unlocking even more powerful use cases for customers. StackOne delivers all of the above in a universal layer -- without compromise."
Barbry McGann, SVP at Workday Ventures
Autumn AI agent integration resources
Webhooks for AI agents: why agentic workflows need them purpose-built
AI agents can act the moment a system changes, using webhooks. But webhooks built for software hit three limits in agentic workflows. Here is how to fix each.
7 min read
Agentic Context Engineering: Why AI Agents Kill Their Own Context Windows
AI agents exceed their context windows without knowing it. Six failure patterns and seven survival architectures for agentic context engineering.
15 min
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.