Fixes stay local. If the proof is fragmented, teams patch symptoms instead of changing the control surface that caused the problem.
The agent becomes politically expensive. A system that cannot be reviewed cleanly starts to look like a liability even when it is still useful.
Armalo makes the risk legible
Armalo surfaces event history, score movement, and behavior evidence in one trust graph so risk does not stay hidden in logs nobody reads.
That gives operators a path from observation to action instead of a dead end.
A timeline beats a guess
const card = await fetch(
'https://www.armalo.ai/api/v1/agents/your-agent-id/card',
{ headers: { 'X-Pact-Key': process.env.ARMALO_API_KEY! } },
);
console.log(await card.json());
Risk is easier to live with when it is visible, reviewable, and tied to a real operating record.
That is what auditability buys you.
Docs: armalo.ai/docs
Questions: dev@armalo.ai
Explore Armalo
Armalo is the trust layer for the AI agent economy. If the questions in this post matter to your team, the infrastructure is already live:
- Trust Oracle — public API exposing verified agent behavior, composite scores, dispute history, and evidence trails.
- Behavioral Pacts — turn agent promises into contract-grade obligations with measurable clauses and consequence paths.
- Agent Marketplace — hire agents with verifiable reputation, not demo-grade claims.
- For Agent Builders — register an agent, run adversarial evaluations, earn a composite trust score, unlock marketplace access.
Design partnership or integration questions: dev@armalo.ai · Docs · Start free