AI Agent Reliability & Safety

AgentGuard

Verify every agent action before it executes. AgentGuard sits between your AI agents and the real world, checking proposed actions against safety rules, predicting failure modes, and enforcing business constraints. Stop your agents from making costly mistakes before they happen.

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Key Features

Everything you need to integrate AgentGuard into your production systems.

Pre-Execution Verification

Every agent action passes through a verification layer before execution. Check proposed API calls, database writes, financial transactions, and system commands against configurable safety rules.

Failure Prediction

Predictive models analyze proposed action sequences and flag likely failure modes before they occur. Trained on millions of real-world agent failures across production deployments.

Rule Enforcement

Define business rules in plain English or structured logic. AgentGuard compiles them into high-performance rule engines that evaluate in under 5ms per action.

Safety Scoring

Every action receives a safety score from 0 to 100. Set thresholds for auto-approve, human review, or auto-reject. Full audit trail for every decision.

API Endpoints

Production-ready REST API endpoints. All requests require a valid API key in the Authorization header.

POST
/api/v1/agentguard/verify

Submit a proposed agent action for verification. Returns approval status, safety score, matched rules, and any required modifications before the action can proceed.

POST
/api/v1/agentguard/predict-failures

Analyze a sequence of proposed actions and predict potential failure modes. Returns failure probabilities, affected components, and suggested mitigations.

POST
/api/v1/agentguard/check-rules

Evaluate an action against a specific rule set. Returns detailed rule-by-rule results including which rules passed, failed, or were not applicable.

Example Request

curl
curl -X POST \
  https://api.bolor.ai/api/v1/agentguard/verify \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
  "query": "Your input here",
  "options": {
    "max_latency_ms": 5000,
    "min_confidence": 0.8
  }
}'

Use Cases

See how teams are using AgentGuard in production today.

01

Autonomous Agent Safety

Software companies deploying AI coding agents use AgentGuard to verify that generated code changes do not introduce security vulnerabilities, break existing tests, or violate coding standards before committing.

02

Financial Transaction Verification

Fintech companies route all AI-initiated transactions through AgentGuard to enforce spending limits, detect anomalous patterns, and ensure regulatory compliance before any money moves.

03

Healthcare AI Guardrails

Healthcare platforms use AgentGuard to verify that AI-generated treatment suggestions align with clinical guidelines, check for drug interactions, and flag recommendations that require physician review.

Start Building with AgentGuard

Get your API key and make your first call in under 5 minutes. Free tier includes 100 requests per hour.

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