Make Your API Accessible to Every AI Agent

Your API becomes discoverable, interpretable, and payable by AI. We deliver the full stack — and keep it current as the ecosystem evolves.

How It Works

1

Submit Your Spec

Share your OpenAPI spec or API documentation with a test key. No spec? Docs work fine.

2

Baz AI Builds

Your complete agent integration stack — MCP server, auth, payments, discoverability. No code on your side.

3

Review & Go Live

Baz AI audits the integration, you sign off, and your API is live — discoverable and transactable by any AI agent.

Everything Your API Needs to Go Agent-Native.

AI Agent

Claude, GPT, custom

Bazantic Agent Gateway

with Baz AI Intelligence

Your API

No changes required

Intelligent MCP Server

Meet your customers inside their LLM.

Developers reach for their model first — your product should work smoothly wherever they do. A turnkey, production-grade agent interface delivers months of integration work at once, without settling for a vibe-coded MCP server.

Hosted & Maintained · Atomic Tool Design · Optimized Skills File

Claude · Tools connected via Bazantic

“Get me a freight quote for two pallets to Rotterdam.”

▸ acme_quote_shipment({ pallets: 2, dest: "NL-RTM" })
← quote_id: q_7f2a · $412.80 · valid 24h
acme_quote_shipmentacme_book_shipmentacme_track+ 9 more

Agent Insights with Baz AI

Agent analytics and a self-improving UX, built in.

Baz AI monitors real agent traffic and tunes your integration from what it sees. You see what agents actually do with your product — your first window into agent customers.

Traffic Pattern Monitoring · Agent Customer Insights

Baz AI · Agent Traffic
Agents call track before book — tool hints reorderedApplied
31% of sessions compare quotes — quote_batch tool proposedSuggested

Agent Payment Gateway

A new class of customer, ready to pay.

AI agents authenticate and pay your API per call — revenue from customers that never open a browser. Bazantic abstracts the payment protocols, so you never build against any of them.

OFAC Screening · x402 · MPP · A2A

Agent Transaction · Live
agent → POST /v1/quotes402 Payment Required
x402 offer$0.012 USDC / call
OFAC screening✓ clear
payment settledtx 0x84f…9c2 · 240ms
agent → POST /v1/quotes200 OK

Agent Documentation

Docs agents can read — written for you.

Bazantic generates the documentation agents read and keeps it in sync as your API changes — no docs debt, no drift.

API Spec Creation · RPC Spec Creation · LLM.txt

openapi.yamlrpc-spec.jsonllm.txt✓ in sync · updated 2h ago
paths:
  /v1/quotes:
    post:
      operationId: createQuote
      x-agent-hint: quote before booking

Launch Partner Program

Get Your API in Front of Every AI Agent.

We review every application personally — you'll hear back from the Bazantic team within 2 business days.

No changes to your existing API
Baz AI builds the integration for you
Review before anything goes live
No platform fee during the launch phase

Product Features

Intelligent MCP Server

Hosted MCP Server

Production-grade, hosted and maintained by Bazantic.

Optimized Skills File

A blueprint for agents to navigate your product correctly.

Four-Point Performance Inspection

Audited across execution, token efficiency, LLM coverage, and benchmarks.

Agent Insights with Baz AI

Baz AI Monitoring

Continuously monitors your integration and keeps your stack current.

Agent Readiness AssessmentComing soon

Structured evaluation with a prioritized remediation roadmap.

Agentic Vitals IndexComing soon

Uptime, latency, and quality index that drives registry discoverability.

Agent Payment Gateway

Agentic Payment Rails

Per-call payments from agents — full x402, MPP, and agent card support.

Agent-Native Authentication

Scoped credentials issued and rotated programmatically.

OFAC Compliance Screening

Every transaction screened against sanctions lists in real time.

Agent Documentation

API Spec Generation

An OpenAPI spec generated and kept in sync with your API.

RPC Spec Generation

RPC spec creation for agent-readable coverage beyond REST.

LLM.txt FileComing soon

A machine-readable LLM.txt so agents can navigate your website.

FAQ

What if I already have an MCP server?

No problem. Common gaps include incomplete tools, not structuring intent-based routing, high token overhead, authentication flows that don't work in agent contexts, and inconsistent behavior across LLMs. Bazantic will audit what you have across execution, token efficiency, and cross-LLM consistency, identify exactly what's missing or underperforming, and bring it up to production standard. You don't need to start over — but you do need to make sure it's built right.

What do I need to provide to get started?

If you have an OpenAPI spec, that is best — but we can also work with your API documentation and website. We will ask you for a test API key in this instance to ensure we understand your calls and responses. That's it.

What if I don't have an OpenAPI spec?

Not a problem. Share a link to your API documentation and a test key. Bazantic will work from your docs to configure your integration. A spec makes the process faster but it isn't a requirement to apply.

Do I need to change my existing API?

No. Bazantic builds the agent integration layer on top of your existing API. Your underlying API, infrastructure, and codebase stay exactly as they are. We may make suggestions to your team about how you can make improvements for AI agents, but it is not a requirement of integration.

Do I need to change anything to support Agent Payments?

Nothing. Bazantic sets up and manages the Agent Payment Protocol for you. Once your integration is live, you'll receive access to a wallet you control — funds transfer directly to your bank. Bazantic does not hold or control your wallet.

What does Bazantic cost?

There is no platform fee during the launch phase. Apply above and the Bazantic team will walk you through what your integration costs.

Which AI agents and LLMs will be able to reach my API?

Any AI agent built on an MCP-compatible client, and any LLM with tool-use capabilities — including Claude, GPT-4, Gemini, and others. Bazantic validates your integration across leading models before you go live to ensure consistent behavior regardless of which LLM an agent is running on.

What happens after I submit my application?

The Bazantic team reviews your application personally and gets back to you within 2 business days. If it's a fit, we kick off onboarding — you share your spec and test key, and Baz AI begins building your integration. You'll review a live staging environment before anything goes public.