SupplyGraph AI

AI-Native Supply Graph Intelligence Platform

An Agentic AI platform for customs classification, tariff calculation, trade compliance, and deep-tier supply chain risk intelligence.

📢 Launch, Roadmap & Live Agent Demos

👉 Explore all SupplyGraph AI Agents

Autonomous, auditable, and real-time supply-chain intelligence that maps how companies, products, and geographies connect across the global economy — enabling visibility, resilience, and efficiency without requiring any customer-provided data.

Keywords: AI-powered supply chain intelligence, tariff calculation, HTS classification, trade compliance, multi-tier supply chain risk analysis, A2A agent platform

Documentation Map

This repository contains the official documentation of SupplyGraph AI and is structured as follows:

📘 Getting Started – Setup, authentication and first request
👉 docs/getting-started.md

🤝 A2A / MCP Protocol – Agent-to-Agent interface & interoperability
👉 docs/a2a.md

🤖 Agent Library Overview
👉 https://github.com/SupplyGraphAI/supplygraph-ai/blob/main/agents/index.md

📦 Developer SDK – Programmatic access for integration
👉 https://github.com/SupplyGraphAI/supplygraphai_a2a_sdk

📄 Live Documentation Site (GitHub Pages) – Fast-loading, shareable, searchable docs
👉 https://supplygraphai.github.io/supplygraph-ai/

🌐 Official Website – Product, use cases & demo
👉 https://www.supplygraph.ai

Table of Contents

1. Introduction
2. What We Do
3. Why It Matters
4. How It Works
5. Two Groups of AI Agents
6. Integration & Developer Experience
7. Who Uses SupplyGraph AI
8. Why We’re Different
9. Real Results Across Industries
10. Security & Privacy
11. About SupplyGraph AI
12. Contact

Introduction

SupplyGraph AI delivers real-time, AI-powered global supply graph intelligence for multi-tier supply chain risk analysis, tariff calculation, HTS classification, and trade compliance — an AI-native risk infrastructure that reveals multi-hop visibility with auditable analytics for enterprises, financial institutions, and public stakeholders.

What We Do

We map how products, companies, and geographies connect across extended supply networks, surfacing risks and validated alternatives in real time.

Our AI-native graph infrastructure powers multi-hop visibility so teams can see, simulate, and secure complex value chains without adding tooling overhead.

Why It Matters

Legacy solutions rarely reach beyond Tier 1–2 and depend heavily on static, probabilistic data or user-uploaded supplier lists.

SupplyGraph AI eliminates these blind spots, exposing 10+ tiers of verified enterprise-product relationships with explainable, source-linked evidence.

How It Works

We maintain a continuously updated graph of hundreds of millions of enterprise records and millions of product nodes.
Each relationship is tied to live signals and an auditable evidence chain.

✅ No customer data required — our enterprise-centric design removes the need for supplier uploads, minimizing disclosure risk while accelerating time-to-value.

Two Groups of AI Agents

Group 1: Automation & Efficiency Agents

• Customs Classification Agent – Maps products to correct HS/HTS codes
• U.S. Tariff Calculation Agent – Calculates U.S. duty rates and additional tariffs
• Due Diligence Agent – Generates structured company intelligence
• Corporate Exception Agent – Real-time automated corporate exception monitoring

👉 Full agent descriptions here:
https://github.com/SupplyGraphAI/supplygraph-ai/blob/main/agents/index.md

Group 2: Data Intelligence & Supply Graph Agents

• Global Supply Dependency Visualization Agent
• Geographic Concentration Analysis Agent

👉 Details & demos available in the Agent Hub:
https://github.com/SupplyGraphAI/supplygraph-ai/blob/main/agents/index.md

Integration & Developer Experience

Designed for fast, standards-based integration using A2A and MCP.

Quick Example (Python SDK — A2A Pattern)

from supplygraphai_a2a_sdk import AgentClient
import time

client = AgentClient(api_key="YOUR_API_KEY")

run_response = client.run(
    agent_id="tariff_calc",
    text="Lithium-ion batteries for electric vehicles manufactured in China"
)

task_id = run_response.get("task_id")
print(f"Task submitted: {task_id}")

status = "PENDING"
while status not in ("COMPLETED", "FAILED"):
    time.sleep(3)
    status_response = client.status(
        agent_id="tariff_calc",
        task_id=task_id
    )
    status = status_response.get("status")
    print("Current status:", status)

if status == "COMPLETED":
    result = client.results(
        agent_id="tariff_calc",
        task_id=task_id
    )
    print("Final result:")
    print(result)
else:
    print("Task failed or cancelled.")

Who Uses SupplyGraph AI

• Manufacturing & Automotive companies
• Energy, Electronics & Industrial groups
• Retail & Consumer Brands
• Consulting & Risk Advisory firms
• Financial Institutions & Investors
• Public Sector & Research organizations

Why We’re Different

• 10+ tier visibility
• Real-time updates
• Auditable evidence
• Zero customer data required
• Explainable, policy-aware AI

Real Results Across Industries

Supply Chain – Reduced tariff filing time from hours to minutes
Consulting – Cut analysis time by up to 90%
Finance – Extended visibility from Tier-3 to Tier-10
Research – Enabled empirical network modeling
Government – Supported policy and risk simulations

Security & Privacy

No customer data is required or stored.
All output is backed by a verifiable evidence chain.

About SupplyGraph AI

SupplyGraph AI redefines how the world understands and secures supply chains.
Through autonomous graph intelligence, organizations can predict risk and act with confidence.

Contact

info@supplygraph.ai
https://www.supplygraph.ai

More about SupplyGraph AI

Getting Started
https://github.com/SupplyGraphAI/supplygraph-ai/blob/main/docs/getting-started.md

Agent Hub
https://github.com/SupplyGraphAI/supplygraph-ai/blob/main/agents/index.md

Python A2A SDK
https://github.com/SupplyGraphAI/supplygraphai_a2a_sdk

Website
https://www.supplygraph.ai

© 2025 SupplyGraph AI, Inc. All rights reserved.