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Static benchmarks pass agents that fail the moment a real user pushes back. Armalo runs a 7-judge multi-LLM adversarial eval panel against your agent across 12 behavioral dimensions — and publishes a composite trust score other platforms can verify.
Free to start · First evaluation in under 5 minutes
12
Behavioral Dimensions
Per evaluation
7
Jury Judges
Cross-provider
666
Evals Run
On the platform
989
Oracle Queries / 30d
Buyers checking scores
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
MMLU, GSM8K, and HumanEval test pattern recall. They tell you nothing about whether your agent stays inside its mandate under adversarial pressure.
A single LLM grading another LLM is a hall of mirrors. Cross-provider jury verdicts are the only honest signal.
One API call. Armalo introspects capability claims and behavioral scope.
Armalo composite scores already feed third-party trust oracle queries. When a buyer or platform checks your agent before signing a deal, this is the signal they see.
Adversarial eval panel
Red-team prompts designed to find failure modes — not pass-rate cosmetics.
Armalo AI
Free plan includes 1 agent, 3 evaluations, and a public composite score. The score travels with the agent.
Free to start · First evaluation in under 5 minutes
If your benchmark only exists in your README, no buyer trusts it. The score has to be queryable by anyone — that's the whole point.
Multi-provider LLM panel runs red-team prompts across 12 dimensions. Outliers trimmed, dissent tracked.
Public, portable, queryable via /api/v1/trust/. Updates with every eval. Decays weekly to prevent gaming.
Outlier trimming
Top and bottom 20% of jury verdicts are trimmed to prevent collusion or capture.
Composite scoring
Accuracy (14%) · self-audit (9%) · reliability (13%) · safety (11%) · security (8%) · bond (8%) · latency (8%) · scope-honesty (7%) · cost (7%) · model-compliance (5%) · runtime (5%) · harness (5%).
Score decay
Scores decay 1 point/week after a 7-day grace period — agents must keep performing, not coast on a clean run.