Zehrava Gate vs Tetrate Agent Router Service
Developers compare Zehrava Gate and Tetrate Agent Router Service when they need runtime controls for AI agents. The two products enforce different things. The enforcement point decides the architecture.
Quick answer
Tetrate Agent Router Service is an enterprise AI gateway that governs LLM and MCP traffic. Tetrate Agent Router Service unifies model access, routes with fallback, and adds cost governance and observability. Tetrate Agent Router Service also positions MCP audit logging for regulated environments.
Zehrava Gate is a write-path checkpoint that governs agent actions before execution. Zehrava Gate makes an agent submit an intent before the agent sends an email, writes to a CRM, charges a card, or calls a production API. Zehrava Gate returns approved, blocked, or pending_approval. High-risk intents wait in a reviewer queue.
Pick Tetrate Agent Router Service when you need gateway control for models and tools across many teams. Pick Zehrava Gate when you need a human approval queue and deterministic YAML policy for outbound actions.
What Tetrate Agent Router Service is
Tetrate Agent Router Service is a managed gateway for AI workloads. The gateway centralizes model access. The gateway also centralizes tool access when agents call MCP tools. The gateway layer is the place where Tetrate enforces budgets, routing policy, and audit logging.
LLM gateway
Route requests through one endpoint. Apply fallback between models and providers. Centralize keys, auth, and billing.
MCP gateway
Expose tools through a catalog. Authenticate access. Filter tool availability per profile and context.
Cost governance
Track usage and spend. Alert on spikes and quota violations. Compare consumption across teams and applications.
Audit logging
Record MCP and gateway activity to support compliance evidence for regulated workflows.
What Zehrava Gate is
Zehrava Gate is a write-path control plane for AI agents. Zehrava Gate governs actions. The action is the thing that changes production state. The agent submits an intent. Zehrava Gate evaluates a YAML policy. Zehrava Gate returns a decision.
Deterministic policy
Evaluate YAML policies deterministically. Add field checks, environment thresholds, and rate limits. Keep policy in version control.
Human approvals
Hold intents for review. Approve and reject with reviewer roles. Record who approved what.
Comparison table
| Category | Tetrate Agent Router Service | Zehrava Gate |
|---|---|---|
| Enforcement point | Gateway boundary for model and MCP tool traffic | Write-path boundary for outbound actions |
| Human approval queue | Not marketed as a core product surface | Built-in approval queue + reviewer roles |
| Policy format | Managed configuration in an enterprise platform | YAML policies in your repo |
| MCP support | Native MCP gateway | Not native today. Proxy and tool wrappers cover most write paths. |
| Cost governance | Spend analytics and alerts | Out of scope. Gate governs actions, not token spend. |
| Best fit | Large orgs running many AI workloads | Teams that need approvals and evidence before writes run |
How teams use both
Teams use both when they want gateway governance and write-path authorization. Tetrate routes model and tool calls. Zehrava Gate authorizes production writes.
Agent runtime │ ├─ model and MCP traffic → Tetrate Agent Router Service │ └─ write action → Zehrava Gate intent checkpoint → approved? → execute
Decision guide
- Choose Zehrava Gate when the question is "should this action run" and the answer requires a human approval queue.
- Choose Tetrate Agent Router Service when the question is "which model should run" and the answer depends on budgets, routing, and provider controls.
- Run both when you ship multiple agents across multiple teams. Put the gateway on model and MCP traffic. Put the checkpoint on outbound writes.
Try Zehrava Gate
Open the demo. Read the docs. See the approval queue and audit ledger.
Open the demo Read the docsWant the broader platform context? Read the full breakdown at /vs/tetrate/.