Listing information
A street address becomes the headline facts about a property.
- Returns
- Beds, baths, living area, year built, value estimate
- Used for
- A property detail page
Built by Bazantic
Bring your API docs or your MCP server. We build the agent interface, publish the tools that do each job in one call, and put it in front of the people building with AI.
{
"mcpServers": {
"acme": { "url": "https://acme.bazgateway.com/mcp" }
}
}Tools served to any agent
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.
“Get me a freight quote for two pallets to Rotterdam.”
An outcome rarely lives in one API. Your MCP server gives an agent your tools; it does not say which ones to combine, in what order, for the job your customer actually has. Recipes do — and they reach across APIs when the job needs it.
store_locator(address, type, radius)
Returns: stores[], open, nearest first
Bazantic for Professionals is where people build internal tools for their own business without writing code. Your API is one of the capabilities those tools are built on — already connected, so the builder never handles a key. Every tool that needs what you do runs on your API.
“Build me a tool that pulls the facts on a listing and emails them to my open-house list.”
The outcomes your customers' AI asks for, not just endpoints — built once, across whichever APIs the job takes. Your customer gets an AI-ready component without the integration work.
For your customers
An outcome with instructions — your API, and the others it needs. Their AI stops guessing.
For your API
Every outcome you make easy is an outcome built on your API.
For you
A tool that teaches every agent how to use your service — one recipe per use case.
Returns the open stores of a given type near a customer, from GPS or a postcode.
address | gps → coordinates
coordinates, type, radius → store ids
store ids → open now
coordinates, open stores → sorted by walk
The recipe, as code
{
"name": "Store locator",
"tool_bindings": [
{ "geolocation",
"resolve_location" },
{ "acme", "place_search" },
{ "acme", "opening_hours" },
{ "traffic", "walking_time" }
]
}A street address becomes the headline facts about a property.
Built by Bazantic
Resolve a place, screen it, and price the work.
Built by Bazantic
One verdict on a package, grounded in public evidence.
Built by Bazantic
Is this wallet risky, and what supports the answer.
Built by a Bazantic customer
Quote a swap, then check the counterparty.
Built by a Bazantic customer
Watch pool data free, and buy deeper evidence only when justified.
Built by a Bazantic customer
Traffic by tool, the sequences agents repeat, and the calls they retry — the evidence for your next recipe.
You set the price. Agents pay over x402 or MPP, every transaction is screened against sanctions lists, and funds land in a wallet you control.
An OpenAPI document served at your gateway's /spec, an RPC spec, and an llms.txt — regenerated when your API changes.
Bazantic for Professionals
Internal Tool Connection
Your API is one of the capabilities internal tools are built on.
Pre-Connected Capability
Apps arrive already wired to your API; the builder never handles a key.
Usage VisibilityComing soon
See which internal tools use your API and what they ask it for.
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.
Recipes
Recipe Authoring
Combine your tools into the workflow developers actually run.
Cross-API Composition
Your tools sit alongside tools from other APIs in one task.
Published Recipe Catalog
Recipes agents and developers find, read, and call.
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.
llms.txt FileComing soon
A machine-readable llms.txt file so agents can navigate your website.
Four steps from your spec to a live gateway.
Submit Your Spec
Share your OpenAPI spec or API documentation with a test key. No spec? Docs work fine.
Baz AI Builds
Your complete agent integration — MCP server, auth, payments, documentation. No code on your side.
Review & Publish
You sign off, and your gateway publishes. Your own customers and any AI agent can call it directly, on your terms and your pricing.
Reach Bazantic Users
Your API becomes one of the capabilities internal tools are built on. People build for their own business without writing code, and every tool that needs what you do runs on your API.
Create your account and bring your spec. Baz AI builds the integration, you review it, and your API goes live to agents and to the people building on Bazantic.
Free to start
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.
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.
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 start.
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.
It is where people build internal tools for their own business without writing code, from capabilities that are already connected. Your API is one of those capabilities, so every tool built on it runs on your API directly. These are people who would never integrate an API themselves.
One job, published as a single tool: typed inputs, bound tools, fixed order. An agent calls it and gets the outcome instead of assembling your endpoints itself. A recipe can bind tools from your API and from other APIs the job needs.
You do, with Baz AI's help. You describe the job; Baz AI drafts the recipe from your API's tools and any others it needs. You review it, test it with real values, and publish when it is right.
No. Your MCP server serves your tools either way. Recipes are the published paths for the jobs your customers ask for most often.
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.
It is free to start. Create your account and build your integration; the Bazantic team will walk you through what running it costs before anything goes live.
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.