Comparison
CueAPI vs Inngest
Inngest is event-driven background functions for web apps. CueAPI is coordination infrastructure for AI agent systems with verified outcomes. Different focus areas, different architectures.
| Feature | Inngest | CueAPI |
|---|---|---|
| Primary use case | Event-driven background functions for web applications | Coordination with verified outcomes for AI agent systems |
| Integration model | SDK-based -import inngest, define functions in your codebase | API-based -any HTTP client, any language, no SDK required |
| Scheduling | Cron functions as one of many trigger types | Scheduling is the core product: cron, one-time, interval, manual fire |
| Outcome tracking | Function return values and step results | Six outcome states: reported_success, reported_failure, verified_success, verification_pending, verification_failed, unknown |
| Delivery model | Event-driven -your functions run on Inngest infrastructure | Webhook push to your server or worker pull from your agent |
| Agent focus | General purpose -any background job pattern | Purpose-built for AI agents -payload delivery, outcome verification, failure alerting |
| Execution ownership | Your code runs on Inngest servers | Your code runs on your servers -CueAPI delivers and tracks |
| Failure handling | Automatic retries with step-level recovery | Automatic retries with exponential backoff + proactive failure alerts |
| Worker mode | Not applicable -functions are pushed | Built-in worker pull mode for agents behind firewalls |
| Security | Platform-managed security | HMAC-signed webhooks, SSRF protection, HTTPS-only, hashed API keys |
| Open source | Yes -Inngest server is open source | Yes -CueAPI Core is open source |
Different models of execution
Inngest runs your code on its infrastructure. You define functions using the Inngest SDK, and Inngest manages execution, retries, and step orchestration. This works well for web application background jobs -user onboarding flows, webhook processing, data syncs.
CueAPI takes a different approach: your agent runs on your infrastructure. CueAPI delivers a payload (via webhook or worker pull) and verifies the outcome. Your agent has full control over execution. CueAPI provides the coordination, delivery, and verification layer.
Built for AI agents
CueAPI's outcome verification system is designed specifically for agent workloads. Agents report structured outcomes with six states (reported_success, reported_failure, verified_success, verification_pending, verification_failed, unknown) plus evidence metadata. CueAPI verifies that outcomes are reported and alerts when they're not. This verification pattern (did the agent actually do the thing?) is what makes CueAPI different from a general-purpose job queue.
No SDK required
CueAPI is a REST API. Use curl, fetch, requests, or any HTTP client in any language. There is no SDK to import, no DSL to learn, no vendor lock-in on your function definitions. If you can make an HTTP request, you can use CueAPI.
Coordination built for agents
No SDK. No vendor lock-in. One API to declare, deliver, and verify.