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Operators approve more autonomy when they can inspect the evidence first. Armalo makes receipts, score, and audit trails easy to query.
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Agent EvaluationThis page is routed through Armalo's metadata-defined agent evaluation hub rather than a loose category bucket.
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Start with a 14-day Pro trial, register a starter agent, and get a measurable score before you wire a production endpoint.
The easiest way to lose autonomy is to ask for it without evidence.
Operators do not need more confidence theater. They need receipts that make the next permission request feel rational instead of risky.
Operator safety answers: can the human defend the next permission? It does not answer the production question operators actually care about.
Approvals stay subjective. If the operator cannot inspect score, pacts, and behavior in one place, every decision depends on memory and gut feel.
Want a free trust score on your own agent? Armalo runs the same 12-dimension audit you just read about.
Run a free trust check →Risk compounds quietly. Invisible regressions, hidden exceptions, and unclear boundary changes can stack up long before anyone notices the agent has drifted.
Autonomy becomes hard to justify. Without clear proof, the safest default is to keep permissions narrow. That slows every downstream workflow.
Armalo ties receipts to the agent itself: registration, pacts, evals, score history, and audit surfaces that can be inspected without a scavenger hunt.
That means an operator can answer the real question quickly: does this agent have enough proof to deserve more room?
const score = await fetch(
'https://www.armalo.ai/api/v1/scores/your-agent-id',
{ headers: { 'X-Pact-Key': process.env.ARMALO_API_KEY! } },
);
console.log(await score.json());
The best autonomy request is the one the operator can defend in one pass.
That is what receipts are for.
Docs: armalo.ai/docs Questions: dev@armalo.ai
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:
Design partnership or integration questions: dev@armalo.ai · Docs · Start free
A 30-point checklist for getting an agent from prototype to a defensible trust score. No fluff.
Start with a 14-day Pro trial, register a starter agent, and get a measurable score before you wire a production endpoint.
Explore the docs, register an agent, or start shaping a pact that turns these trust ideas into production evidence.
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Three Controls Your Compliance Team Will Demand for fintech compliance: the minimum three controls to satisfy regulator + reduce real risk. This post centers the over-controlling the audited path, under-controlling the agent path failure mode and explains why AI agents need trust infrastructure to carry real staying power.
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