Styr
Data Governance for AI

A policy decision point for the AI you already run

You wrote the routing policy: which data classes may go to which models, under which conditions. The Model Clearance API makes that policy answerable at runtime — your LiteLLM gateway, OpenClaw agent or n8n workflow asks first, gets the deterministic verdict with reasons and alternatives, and every answer becomes evidence. The division of labour is deliberate: Fronterio decides and documents; your infrastructure enforces.

3 verdicts

Green, yellow or red — deterministic, no AI in the decision loop

Append-only

Every decision logged as evidence, visible on the vendors screen

0 payloads

Metadata only — Fronterio never routes, proxies or reads your traffic

From written policy to answerable policy

Most routing policies are documents: correct on the day they were signed, invisible to the systems making the actual calls. The Model Clearance API turns yours into infrastructure — a policy decision point (PDP) your runtimes query before using a model.

The verdict is the same deterministic evaluation as the dashboard's traffic-light preview: agent rules override org defaults, deny beats conditional beats allow, conditions resolve against real records (literacy training, signed DPAs), and a combination no rule covers answers 'no policy covers this' — never a silent yes.

Every REST or MCP answer lands in an append-only decision log. When your DPO or an auditor asks 'how do you know the policy is followed?', the answer is a log of every check — not an assurance.

Enforcement stays yours. The open-source Clearance Enforcer plugins (LiteLLM hook, OpenClaw package, n8n node — MIT) call the API from inside your own stack, verify signed policy bundles offline, and fail open with a flagged receipt or closed, per your plan and configuration. Fronterio is never in the data plane.

Policy as a document vs. policy as infrastructure

Policy as a document

  • The routing matrix lives in a PDF the gateway has never read
  • Whether a call was policy-compliant is reconstructed after the fact, if at all
  • Every new runtime needs someone to remember and re-implement the rules
  • The auditor gets assurances, not evidence

Policy as infrastructure

  • Runtimes ask the PDP before the call and get the verdict plus approved alternatives
  • Every decision is logged append-only at the moment it happens
  • One policy, one API — gateways, agents and workflows all ask the same source
  • The evidence log answers the audit question before it's asked

What the Clearance API gives your platform team

The check endpoint

POST a model ref and data classes; get green/yellow/red with reason codes and the conditions that apply. 300 requests/min per key — built for request paths.

The recommend endpoint

When the model choice is still open: every approved register model ranked green-first for the data classes in play.

The decision log

Append-only, source-tagged (REST, MCP, preview, receipt), visible on the vendors screen and retained per your data-retention policy.

Signed policy bundles

Enforcer plugins fetch a signed snapshot of your policy and verify it offline — enforcement keeps working when the network doesn't.

Open-source enforcers

MIT-licensed plugins for LiteLLM, OpenClaw and n8n — auditable code in your stack, not a black box in ours.

Honest fail semantics

Fail-open with a loudly flagged receipt by default; org-configurable fail-closed on Business+. Either way, the behaviour is documented and evidenced.

How a call gets cleared

1

Write the policy once

The routing matrix on the vendors screen — data class × model or region × verdict, org-wide with per-agent overrides.

2

Point your runtime at the API

Drop in an enforcer plugin or call the REST endpoint directly with an API key scoped to policy decisions.

3

Ask before the call

The runtime asks, gets the verdict and alternatives, and enforces it in your own infrastructure.

4

Show the evidence

The append-only log on the vendors screen is the proof — every model call was policy-checked.

The policy used to be a PDF nobody's gateway had read. Now the gateway asks first — and when our DPO asked how we know the rules are followed, we showed the log.

Available from Business

The REST Clearance API is included from the Business plan; MCP tools ride the Enterprise MCP server.

BusinessEnterprise

Make your routing policy answerable

Document your vendors and rules once — then let every runtime ask before the call.

Model Clearance API — a policy decision point for your AI runtimes | Fronterio | Fronterio