Iris Labx

Agentizer

Turn your repo into an agent-ready graph, MCP server, CLI, and plugins that autonomous agents can discover and use.

One repository. Every interface agents need.

Why Agentizer

Agents cannot scale on human interfaces.

Most software is still built for people clicking buttons, reading screens, and navigating workflows by hand. AI agents need a different surface: structured actions, explicit permissions, reliable outputs, and clear execution states. Agentizer adds that layer without replacing your existing product.

Capabilities

Expose

Convert product actions into MCP endpoints, API routes, CLI commands, and A2A interfaces.

Describe

Turn messy product behavior into structured schemas agents can understand and reason over.

Control

Add scopes, approvals, rate limits, logs, and policy rules around every agent action.

Distribute

Publish capabilities into AgentNet so Iris and other agents can discover and call them.

Verify

Return clear success states, failure states, receipts, and execution traces for every workflow.

Evolve

Keep your human UI, but add an agent-native surface beside it.

How it works

1

Map your product

Agentizer identifies the actions your software already supports: search, create, update, buy, book, approve, deploy, and more.

2

Create agent surfaces

Those actions become machine-callable contracts with inputs, outputs, permissions, and recovery paths.

3

Ship to AgentNet

Your software becomes discoverable to autonomous agents looking for the right capability for a user intent.

Examples

Tools already agentized.

These are examples of business tools exposed as agent-ready capabilities: searchable, callable, permissioned, and ready for AgentNet routing.

Communication

Slack

Summarize channels, route approvals, and send updates from a user goal.

Payments

Stripe

Create checkout flows, retrieve payments, and reconcile customer activity.

Engineering

GitHub

Open issues, inspect repositories, update pull requests, and coordinate releases.

Knowledge

Google Drive

Find, share, summarize, and update files across agent workflows.

CRM

HubSpot

Update contacts, prepare follow-ups, and trigger revenue workflows.

Work management

Asana

Create tasks, assign owners, and track execution from intention.

What you get

An execution layer agents can trust.

MCP server specificationAgent-ready API contractCLI-native execution surfaceCapability schema and metadataAuthentication and permission modelAction logs and execution tracesAgentNet listingTesting harness for agent workflows

Use cases

SaaS platforms

Expose core workflows like creating records, updating accounts, sending reports, or triggering automations.

Marketplaces

Let agents search inventory, compare options, prepare transactions, and execute bookings or purchases.

Enterprise tools

Make internal systems callable without forcing agents through fragile dashboards.

Commerce and services

Turn products, availability, pricing, and checkout flows into agent-ready capabilities.

Agent-first distribution

Make your software callable by Codex, Claude, Grok, Hermes, Iris, and future agents.

Agentizer gives every agent the same structured graph, permissions, and execution surfaces, so your software can be discovered and used without a human interface.

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