Waxell
The governance plane for AI agents in production
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Waxell provides observability and governance for AI agents in production, enforcing policies, detecting PII, and controlling costs.
- for
- Engineering and security teams deploying AI agents at scale
- pricing
- freemium · free trial
Key features
- Observe — Captures every LLM call, tool invocation and agent decision with real-time PII redaction and budget enforcement.
- Connect — Zero-code integration for third-party agents and MCP tools with policy checks and rug-pull detection.
- Gateway — Single governed endpoint that fingerprints MCP tools, applies policies and audits every tool call.
- Endpoints — Discovers AI apps on devices via TLS handshake metadata without decrypting traffic.
- Runtime — Durable managed execution with pause, resume, replay, lineage graph and kill-switches.
- Auto-instrumentation — 200+ libraries auto-instrumented with OpenTelemetry-native SDK, two-line setup.
Use cases
- Prevent costly token loops by enforcing per-agent budget limits
- Redact PII in real time from agent workflows before data leaves the system
- Detect and alert on MCP tool description changes (rug pulls)
- Discover shadow AI applications on employee laptops without decrypting traffic
- Provide audit trails and human-in-the-loop approvals for risky agent actions
Waxell pricing
- Free$02 team seats · 10K executions/mo · 1 connected client · 1 upstream
- Team$49/month5 team seats · 100K executions/mo · 10 connected clients · 10 upstreams
- Business$499/month15 team seats · 1M executions/mo · 50 connected clients · 30 upstreams
Waxell vs alternatives
 Waxell |  Fine |  Pocketenv |  Traccia |  Calljmp | |
|---|---|---|---|---|---|
| Best for | Real-time AI agent governance | Agent-centric development platform | Universal sandbox runtime | Vendor-neutral control plane | MCP tool integration platform |
| Pricing | Freemium | Free | Free | Subscription | Free |
| DevHunt upvotes | 1 | 75 | 73 | 21 | 35 |
| Launched | Mar 2026 | Jan 2023 | Apr 2026 | Sep 2026 | Feb 2026 |
- Waxell vs Fine: Fine focuses on building software with AI agents but lacks the comprehensive governance and observability layer Waxell provides.
- Waxell vs Pocketenv: Pocketenv offers a sandbox runtime for agents, whereas Waxell adds real-time policy enforcement and audit across production agents.
- Waxell vs Traccia: Traccia is a vendor-neutral AI agent control plane but does not include built-in PII redaction, cost limits, or shadow AI discovery like Waxell.
- Waxell vs Calljmp: Unified MCP Server provides tool integrations, but Waxell adds governance, observability and runtime execution features on top of MCP.
Waxell FAQ
What is AI agent governance?+
It is the practice of controlling, monitoring and enforcing policies over AI agents in production, covering actions, spend, data access and overrides.
How does Waxell detect PII?+
The Observe component scans data in real time and redacts PII before it leaves the workflow.
Can Waxell govern agents like Claude Code without code changes?+
Yes, Connect adds governance at the coordination layer with no SDK or instrumentation required.
What is MCP governance?+
It applies policy, audit and access controls to tool calls made via the Model Context Protocol, including rug-pull detection and PII scanning.
Do I need to provide my own LLM API keys?+
Yes, Waxell never touches your tokens; you pay your provider directly.
Summarized by DevHunt from waxell.ai · Sep 27, 2026. Details may change; check the official site.
