ModelPort API Aggregation Guide

A practical guide to AI API aggregation, unified model access, routing, usage tracking, and cost control with ModelPort Global.

Website: https://www.modelportglobal.com/

What Is ModelPort Global?

ModelPort Global is an AI API aggregation platform. It helps developers and teams connect applications to multiple model providers through one API layer, one key management workflow, and one usage dashboard.

The goal is simple: keep your application integration stable while giving your team more flexibility across models, providers, routing rules, and cost controls.

Model Coverage

ModelPort Global focuses on unified access across domestic Chinese model families and global model families.

Category	Examples
Domestic models	DeepSeek, Qwen, GLM
Global models	Claude, GPT

Actual model availability depends on your account, routing configuration, and upstream provider access.

Core Capabilities

• Unified API access for multiple model providers
• OpenAI-compatible request patterns for easier integration
• Model routing and provider abstraction
• Usage tracking and cost visibility
• API key and permission management
• Rate limit and access control workflows
• Developer-friendly examples for scripts, apps, and internal tools

Common Scenarios

Scenario	Why Aggregation Helps
Multi-model app	Use one integration layer while testing different model families
Internal AI platform	Manage team access, keys, usage, and routing from one place
Cost-sensitive workloads	Route traffic based on price, latency, and capability
Provider migration	Change upstream providers without rewriting app code
Product prototyping	Connect quickly with familiar API request shapes

Basic Architecture

Application
  -> ModelPort API aggregation layer
    -> routing, auth, usage tracking, cost controls
      -> upstream model providers

Quick Integration Pattern

Set a base URL and API key:

export MODELPORT_BASE_URL="https://www.modelportglobal.com/v1"
export MODELPORT_API_KEY="your_authorized_api_key"
export MODELPORT_MODEL="your-model-name"

Send an OpenAI-compatible request:

curl "$MODELPORT_BASE_URL/chat/completions" \
  -H "Authorization: Bearer $MODELPORT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "your-model-name",
    "messages": [
      { "role": "user", "content": "Explain API aggregation in one sentence." }
    ]
  }'

Evaluation Checklist

When choosing an API aggregation platform, check:

• Provider and model coverage
• SDK compatibility
• API key management
• Usage and billing visibility
• Error transparency
• Rate limit controls
• Latency and uptime
• Team permissions
• Compliance with upstream provider terms

Related Repositories

• Examples: https://github.com/937bb/modelport-examples
• Gateway list: https://github.com/937bb/awesome-ai-api-gateway
• API router concepts: https://github.com/937bb/openai-compatible-api-router

Responsible Use

Only connect API keys, model providers, and workloads that you are authorized to use. Respect upstream provider terms, rate limits, and applicable policies.