Choosing the right tool for AI agent API key management. Here's how Till compares to traditional secrets management solutions.
| Feature |
Till
Purpose-built for AI
|
HashiCorp Vault
General secrets
|
AWS Secrets Manager
AWS-native
|
|---|---|---|---|
| Primary use case | AI agent credentials | Enterprise secrets | AWS application secrets |
| Activation limits (call counting) | Yes | No | No |
| Token budget limits | Yes | No | No |
| Dollar spend limits | Yes (80+ models) | No | No |
| Zero key storage | Yes | Keys stored centrally | Keys stored centrally |
| AI provider support | 12 providers built-in | Manual config | Manual config |
| Disposable credentials | Core feature | Via dynamic secrets | Via rotation |
| Setup complexity | Minutes | Days to weeks | Hours |
| Self-hosted option | Yes | Yes | AWS only |
| Free tier | 3 keys, 1K activations | Open source | $0.40/secret/month |
| Usage tracking dashboard | Built-in | Via plugins | Via CloudWatch |
Best for teams building with AI agents that need bounded, disposable credentials with usage tracking.
Best for enterprises needing comprehensive secrets management across diverse infrastructure.
Best for AWS-native applications needing integrated secrets with automatic rotation.
Vault and AWS Secrets Manager are secrets storage solutions — they hold your credentials securely and control who can access them.
Till is a credential proxy — it creates bounded, disposable keys that enforce limits at the API call level. Your upstream keys are never stored; they're encrypted and embedded in the scoped token itself.
For AI agents that need temporary, limited API access with spend controls, Till is purpose-built. For general enterprise secrets management, Vault or AWS Secrets Manager may be more appropriate.