What they do
compresses agent tool output and tracks agent spend
How close to us
2, near
checks only; token cost analytics is part of W2 but no output tracking.
Wedges
- W2 Seeing whether your AI agents actually produce adjacent
L1 Company brain (knows the organisation) 0, none
L2 Agent team (runs agents, tools, approvals) 1, light
L3 Does and learns (finishes, checks, measures, updates the brain) 1, light
Who buys
- Firm size
- not known
- Buyer type
- developer
- Role
- head of engineering
- UK
- not known
Their own description (from YC)
Codag compresses tool call outputs before agents read them, which reduces token spend by 20-30% while retaining output accuracy.
Govern and see analytics on agent dollars across all model providers and internal agents.
Full teardown
No full teardown yet. On the deep list.
Technical detail
- Slug
- codag
- Lens hash
- 179096c479
- Pass
- screen
- Stale
- no