When an AI agent uses IndieStack instead of generating infrastructure code from scratch, it saves tokens. Here’s exactly how we measure that.
When you ask an AI coding agent to “add authentication” or “set up payments,” it generates hundreds of lines of boilerplate from scratch. This burns 5,000–30,000 output tokens per infrastructure task, depending on complexity.
If instead the agent queries IndieStack, finds a suitable tool, and writes the integration code, it typically uses 500–3,000 tokens — a 5–10x reduction.
We assign each category an estimated “build-from-scratch” token cost based on the typical output an agent would generate. These are rough estimates, not precise measurements.
| Category | Est. build cost |
|---|---|
| Authentication | ~25,000 tokens |
| Payments | ~20,000 tokens |
| Database | ~15,000 tokens |
| Analytics | ~12,000 tokens |
| ~10,000 tokens | |
| Other categories | ~15,000 tokens |
These estimates are conservative approximations. Actual savings depend on the specific task, the model used, and how many attempts the agent needs. We use these figures for our “tokens saved” metrics and the /calculator page.
“Find me an auth solution for Next.js” — ~50 tokens for the API call.
Tool name, install command, API type, compatibility data — ~200 tokens to parse.
Install + configure an existing tool: ~1,000–3,000 tokens. Build from scratch: 10,000–30,000.
Free. No API key required.