Zentra Tool Firewall

Gate AI agent tool calls before they run with policy, budget, permission, connector-scope, and side-effect decisions.

Make agents earn more

Stop unsafe and wasteful tool calls before they burn agent budget.

This Actor produces a visible AgentOps artifact before it charges a pay-per-event item. It is built for AI workflow builders, agencies, enterprises and focuses on: Prevent unsafe or low-ROI tool calls..

Pricing

Pricing model: PAY_PER_EVENT.

• policy-decision: $0.0060 after one usable allow, deny, or human-review decision
• batch-policy-decision: $0.0400 after one batch of policy decisions
• policy-pack: $0.0900 after one compiled reusable policy pack

The Actor writes a preflightQuote.json record before paid work and an agentEarningsReport.json record after the run. Dry runs produce a would-charge ledger without billing.

Input Example

{
    "agentGoal": "Summarize GitHub issues and draft a Slack update.",
    "toolCall": {
        "toolName": "slack.messages.post",
        "sideEffects": [
            "send",
            "write"
        ],
        "estimatedCostUsd": 0.03,
        "permissionLevel": "LIMITED_PERMISSIONS"
    },
    "policyPack": {
        "maxCostUsdPerToolCall": 0.25,
        "requireHumanApprovalFor": [
            "send",
            "write",
            "pay"
        ],
        "deniedTools": [
            "*.delete"
        ]
    }
}

Output

Every successful run writes:

• one default dataset item with the AgentOps artifact,
• agentEarningsReport.json in the default key-value store,
• preflightQuote.json in the default key-value store,
• report.md with the buyer-facing earnings impact.

Earnings Impact

The report explains the estimated value created, the charged events, the dry-run would-charge ledger, and the value-to-charge multiple so buyers can see how the Actor helps an agent earn more, lose less, waste less, convert better, or operate with higher trust.