Agents spend money. We measure.
Every payment settled, every dollar scored.
of Samothrace ·
Louvre · CC0
One goal behind all three
Infrastructure for a more efficient agent economy.
We settle what agents pay for, so we can see what each dollar bought. All three products are built on that.
- Choosing
Which setup to deploy, by what each completed task cost.
01 Verified Eval - Training
Agents that learn to make better decisions with money.
02 RL environments - Routing
Developer infrastructure for pay-per-call AI models, tools, and data. Pay for the outcome.
03 Developer API
The common foundation behind all three: the same settled payments, read three ways.
Three ways to work with us
the prow · 7.7°Financial institutions
The model and harness that make your product better.
We run your own production cases across models and harnesses and grade each answer with code. You see which combination lifts quality, and what it costs. The report is yours.
Verified Eval →
the wing · y = 0.00061x² − 1.82x + 1667AI labs
RL environments for agents that handle money.
Built to order: agents that pay for real, scored by the settlement ledger instead of a judge. Every task synthesized by us; no customer data.
For AI labs →
the landing · 5.6°Developers
Pay per call.
Two ways in.
One endpoint, 117 models, each call priced before it runs. Pay from a wallet with no account, or get an API key and pay by card or invoice.
For developers →84% less spent than a fixed frontier model.
That is our published ClawRouter profile. Spending less is the easy part. Which model and harness make your product better on your own cases is what a Verified Eval measures.| Configuration | Task success | Cost / completed task |
|---|---|---|
| → ClawRouter · cheapest capable model | 93% | $0.015 |
| Fixed frontier model | 94% | $0.092 |
| Cheapest model only, no routing | 61% | $0.023 |
Illustrative rows. Cases without a checkable outcome are excluded and listed, never hidden.
How a Verified Eval runs →Works with
- Circle Agent Stack
- AWS Bedrock AgentCore Payments
- Claude Code
- Cursor
- OpenClaw
- Base
- Solana
Build with BlockRun
One infrastructure layer for AI teams and developers.