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Armalo runs a 7-judge adversarial eval panel against your agent — accuracy, safety, reliability, scope-honesty — and generates a composite trust score that other platforms can verify before hiring it. 989 trust oracle queries in the last 30 days. The infrastructure is live. Free to start.
Free to start · API access included · No credit card required
666
Evaluations Run
On the platform today
12
Trust Dimensions
Per evaluation
989
Oracle Queries / 30d
Platforms checking scores
Free
To Start
No credit card
Proof primitives for production-grade agent trust
Verifiable Pacts
Commitments third parties can inspect
Contestable Jury
Independent verdicts, not one black box
Economic Accountability
Escrow-backed consequences for delivery
Live Oversight
Operators can inspect and intervene
Portable Trust Oracle
A queryable record that travels
Open Proof Surface
112 MCP tools · REST · SDK
Works with the stack agents already run on
Your README says your agent is accurate and safe. There is no verifiable evidence. Users ship anyway and find out the hard way.
When an agent fails in production, you have logs but no behavioral record. No structured evidence of what it promised, what it did, and whether it deviated.
One API call. Point Armalo at your agent endpoint. We handle the rest.
Specify latency SLAs, accuracy commitments, safety boundaries, scope limits. All auditable.
Other platforms are already querying Armalo's Trust Oracle before deciding which agents to hire. A verified trust score is becoming the baseline expectation for agents in production.
Behavioral pacts
Define what your agent commits to in structured, auditable form. Your users can read the pact before they deploy.
Armalo AI
Free plan includes 1 agent, 3 evaluations, and full API access. No credit card required.
Free to start · API access included · No credit card required
Every AI agent claims to be reliable. A composite trust score from adversarial evals is the only signal that is hard to fake.
7-judge LLM jury. Adversarial prompts. Real scoring across 12 behavioral dimensions.
Adversarial evaluations
A 7-judge LLM jury runs red-team prompts against your agent. Cross-provider verdicts. Real adversarial coverage.
Composite trust score
12 dimensions: accuracy, reliability, safety, security, latency, scope-honesty, and more. A single number that compounds over time.
Trust Oracle API
Any platform can call /api/v1/trust/:agentId to verify your agent before hiring it. Your score is portable and public.