⚖ PATENT PENDING TECHNOLOGY

Integration Infrastructure
for AI.

Claude Code ~/apiant
Build a Mindbody to Shopify integration
Assessing requirements
Reading Mindbody Public API v6 docs...
Found 14 resource groups, 87 endpoints
Reading Shopify Admin API 2024-01 docs...
Found 22 resource groups, 140+ endpoints
Rate limits: Mindbody 100/min, Shopify 40/s
Scope: clients, memberships, visits, products, orders
Configuring authentication
Mindbody: API key + OAuth 2.0 staff token
Shopify: Admin API access token (read/write)
Token refresh + credential vault configured
Building Mindbody connector
GET /clients, /clients/{id}, /visits
GET /classes, /classdescriptions, /staff
GET /sales/purchases, /products, /memberships
POST /clients, PUT /clients/{id}
Pagination handlers (offset-based, 200/page)
23 endpoints built, rate limiter: 80 req/min
Building Shopify connector
GET/POST /customers, /orders, /products
GET /inventory_levels, /variants, /metafields
Webhooks: orders/create, customers/update
15 endpoints built, cursor pagination, 2 webhooks
Designing workflows
Client check-in → create/update Shopify customer
Membership purchase → Shopify order + tags
Field mapping: 34 fields across 5 object types
Conditional: if membership = active → sync
Duplicate detection: email + Mindbody client ID
Testing
Endpoint tests passed (38/38)
Workflow tests passed (12/12)
Edge cases: rate limit, timeout, 404 (6/6)
Deploying to production
Error handling: retry 3x, exponential backoff
Dead letter queue + Slack alert #integrations
Deployed to production server
Monitoring
All connections healthy
Mindbody → Shopify: 1,247 syncs today
Avg latency: 340ms | Errors: 0 (3 retried)
Automation Assembly ▶ Run Subroutine name: Mindbody → Shopify Sync Save Cancel Webhook Mindbody Check-In Get Client_services If membership = active FALSE TRUE Flag for review Sync to Shopify Transform Map_fields + format Update Shopify_inventory Error Handler Retry 3x + alert Log Sync_result Complete Subroutine output
Assess Needs
Read API Docs
Configure Auth
Build Connectors
Design Workflows
Test
Deploy
Monitor
Revise & Upgrade

15 years of production-hardened integration infrastructure, now with an AI-native interface. AI agents can reason and plan, but they need reliable, authenticated, rate-limited, and monitored ways to act in the world. APIANT is that infrastructure. Claude Code operates the entire platform through a complete CLI: building connectors from API docs, testing against live endpoints, deploying to production, and monitoring everything. Point it at any app with an API. Integration just became trivial.

8,000+ apps
Their catalog (endpoints unlisted)
Any App
AI reads the API docs and builds it
Any Endpoint
Every trigger and action the API offers
APIANT Partners
AI Capabilities · In detail
Every tool Claude Code can use on APIANT · 32 skills, 23 MCP tools, fully animated inventory.
Dive in
THE DISTINCTION ⚖ PATENT PENDING

Most integration platforms now claim an AI story. It is the same story: give AI a code editor and hope for the best. APIANT is architecturally different.

APIANT gives AI two capabilities no other platform offers: the ability to construct structured connectors from API documentation, and a unified data engine where every integration is structured data, not code. AI makes surgical edits to data nodes, not lines in files. It replays exact inputs through exact paths. It operates production infrastructure reliably, not as a disposable code generator.

AI-Constructed Connectors

The AI reads API documentation, determines authentication, identifies which endpoints are needed based on integration requirements, builds every endpoint as a structured assembly, and tests them against live APIs. It self-corrects when something fails. The output is not generated code. It is a reusable, inspectable connector that any team member can understand and modify.

How AI-constructed connectors work

Structured Data, Not Code

Every integration on APIANT is a structured data document processed by a unified data engine. When something needs to change, AI makes a surgical edit to the relevant node. When something breaks, you replay the exact input through the exact path to see why. No black-box functions. No mystery deployments.

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THE ARCHITECTURE ⚖ PATENT PENDING

Integration logic stored as structured data.

Surgical Precision

AI edits a single node in a data tree. Not a line in a file. No risk of breaking adjacent logic.

Replay-Based Testing

Feed the exact production input through the exact path. See every decision the integration made.

Context Efficiency

Structured data is compact. AI can hold an entire complex integration in context, not just fragments.

Built-In Transparency

Every integration is fully readable. No compiled code, no hidden state. What you see is what runs.

Own your integration infrastructure.

Large language models know things. But knowledge without the ability to act on it is just a chatbot. Integration is the bridge: the structured connections to real systems where real work happens. APIANT is the integration infrastructure you own, operate, and scale. Dedicated servers, white-labeled, with AI that handles the engineering. Not a shared service. Your platform.

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WHY APIANT

Claude Code CLI + APIANT vs. the Alternatives

AI can write integration code. But code without a platform is a maintenance nightmare. Here's why the combination matters.

AI ALONE (NO PLATFORM)

Writes code. You handle everything else.

  • You host, monitor, and maintain every script
  • No auth management, rate limiting, or retry logic
  • No visual editor to inspect or modify flows
  • No white-label or multi-tenant support
  • Breaks silently when APIs change

OTHER PLATFORMS

Pre-built connectors. Shallow by design.

  • Limited to field-level mapping, no business logic
  • AI "assists" but doesn't build autonomously
  • Shared infrastructure, not dedicated
  • Per-task pricing gets expensive at scale
  • No white-label; your customers see their brand
⚖ PATENT PENDING

CLAUDE CODE + APIANT

AI builds it. The platform runs it.

  • AI reads API docs, builds and tests connectors autonomously
  • Production-grade: auth, rate limiting, retries, monitoring
  • Visual editors to view, modify, and deploy what AI built
  • Your own dedicated server, white-labeled
  • Deep integrations with business logic, not just field mapping
CUSTOMER CASE STUDY
Built with APIANT's CRMConnect product

How Exercise Coach Syncs 228 Locations to HubSpot

228 locations. One platform. Zero errors.

Exercise Coach uses APIANT's CRMConnect to sync 228 Mindbody locations to a single HubSpot instance. Bi-directional sync, 120+ fields per contact. One codebase serves all 228 locations, each with its own time zones, feature toggles, and configurations. When APIANT upgrades the product, every location gets it simultaneously.

A master account routes all CRM data to the correct Mindbody site. Rate limiting holds at 185 API calls per 10 seconds, calibrated to never exceed CRM limits even when every location renews memberships on January 1st. The Splunk dashboard proves it: zero errors, zero rate limit violations. New locations go live in hours, not weeks.

Network diagram showing Master Account hub connected to 228 location nodes feeding into HubSpot with rate management
228
Connected locations
120+
Fields synced per contact
185/10s
API calls managed per 10 sec
0
HubSpot rate limit errors
See how CRMConnect powers this at scale →
WHO USES THIS INFRASTRUCTURE
TRUSTED BY BUILDERS

What Builders Say

"Nothing we have seen comes close to the power and versatility of the APIANT platform."

JG
Jeff G.Owner

"This is my bet on who wins the API economy. Incredibly flexible and easy to understand."

JE
Jose E.
CTO

"Seamless integrations. Has been instrumental in integrating our data factory across more than 200 locations."

BB
Brad B.
COO

"The preeminent integration and automation: everything you could ever need."

JN
John N.
President

"If you're looking to deliver exceptional results and drive innovation, look no further."

DS
Dave S.
CTO

"Powerful automation, bespoke solutions."

EG
Eric G.
Head of Marketing

"An amazing partner. Has allowed us to develop a comprehensive integration solution."

AP
Angie P.
Director of Technology

"APIANT has proven to be an invaluable asset for our organization. Robust integration solutions."

CK
Corinne K.
Web Master

"Professional team and excellent experience. A company that will work with you and for you."

DS
Debra S.
Senior Director of Operations

"Longtime customer and a huge fan. Absolutely crucial for my business."

CR
Cody R.
Founder

"Seamless implementation and expert support. Reliable and effective automation solutions."

JH
Jake H.
Project Manager

"Great partners! We've been partnering with Apiant since 2019."

LC
Laurie C.
CMO

"Great partnership. We are very happy to continue working together with Apiant!"

CB
Christophe B.
Donor Relations Manager