The open corpus of
machine-verified AI training data
Verified Trap Instances — proven error→fix→test records of the SDK errors AI ships, pinned to exact versions and re-provable on demand. Browse it free; train on it, or evaluate your model against it.
The bugs AI ships are specific. So is the proof.
Coding agents confidently emit the same SDK integration footguns — insecure defaults, zeroed slippage guards, skipped signature checks, stale oracle reads — that compile, pass review, and quietly do the wrong thing. Brainblast is the corpus of exactly those failures, each one machine-proven.
The failure mode that costs you
Not generic bugs — the precise integration mistakes models make: an insecure default, a zeroed fee, a swap with no slippage floor, a price used without a freshness check. Captured, versioned, and named before they reach prod.
Proof you can't game
Every record goes RED→GREEN through a machine oracle — the vulnerable code fails, the fix passes, and anyone can replay it. 100% reproduced, no answer key. A model can't fake having learned it.
A corpus that compounds
An autonomous fleet finds and verifies new traps across the SDKs teams actually ship — fresh and growing, not a stale dump. And when a contributor's trap lands, they earn from the records buyers use.
Train models that write correct integration code the first time, or evaluate any model against a benchmark it hasn't seen.
Browse it free. Train on it. Evaluate against it.
The corpus is open. We charge for the two things that scale with it — certifying your models, and pointing the fleet at your stack.