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Models update, prompts mutate, providers patch their APIs, and your agent's behavior moves with them. Static testing catches nothing because the deviation is too small per session. Armalo runs continuous adversarial evals, decays trust scores weekly, and alerts the moment behavior drifts outside its pact boundary.
Free to start · Continuous monitoring on plan upgrade
1 pt/wk
Score Decay
After 7-day grace
>200
Anomaly Threshold
Auto-flagged swings
12
Dimensions Tracked
Per agent over time
Live
Alerting
Email · webhook · MCP
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
Per-session deviation is too small to catch in CI. Aggregate it across a week and you have an unrecognizable agent.
When your underlying LLM provider ships an update, your agent's behavior shifts — even if your code did not.
Run an initial 7-judge adversarial eval. Establishes a 12-dimension behavioral fingerprint.
Automatic re-runs on a schedule and on detected anomaly. Score decays 1 point/week to keep the signal honest.
Anything built on a foundation model drifts. The only honest agent is one whose drift is measured, surfaced, and accountable. Armalo treats drift as the primary signal — not an edge case.
Score decay
1 point/week after grace period. Forces agents to keep performing, not coast on history.
Armalo AI
Free plan baselines one agent. Continuous monitoring unlocks on plan upgrade.
Free to start · Continuous monitoring on plan upgrade
A trust score from last month is a fossil. Without decay and continuous re-evaluation, the number lies.
When a dimension drops more than your threshold, you get a real-time alert with the failing eval and suspected cause.
Anomaly detection
Swings greater than 200 points across an eval window auto-flag for review.
Dimension-level drift
Track drift per dimension — accuracy holding but safety dropping is a different incident than the reverse.
Drift attribution
When drift triggers, Armalo correlates with provider release notes, prompt history, and pact changes to suggest root cause.