supplygraph-ai

Getting Started

Welcome to the SupplyGraph AI Developer Platform — the gateway to accessing autonomous supply-chain intelligence through A2A, MCP, or Agent API.

This guide walks you through the essentials: creating an account, managing credits, generating an API key, and choosing an integration path.

1. Create an Account

1. Visit https://www.supplygraph.ai
2. Click Sign Up and complete registration.
   If an invitation code is required, please contact us at info@supplygraph.ai.
3. Verify your email address and sign in to the dashboard to begin.

Once signed in, you’ll have access to:

• Account and billing settings
• A2A/MCP key management
• Usage analytics and credit balance

2. Recharge Credits

SupplyGraph AI uses a credit-based pay-as-you-go model.
Each agent invocation deducts credits depending on the agent used.

1. Navigate to Billing → Recharge in the dashboard.
2. Choose your preferred payment method.
3. After recharge, your balance updates instantly.

💡 You only pay for what you use — there are no recurring fees unless you subscribe to enterprise plans.

3. Generate an A2A/MCP Key

All integrations require authentication via an API key.

1. Go to Developer Settings → A2A/MCP Keys
2. Click Create New Key
3. Copy your key and store it securely

⚠️ API keys are personal credentials.

• Never expose them in client-side code or public repositories.
• Rotate them regularly through the dashboard.

3.1 Sandbox API Keys (For Testing & Development)

SupplyGraph AI provides Sandbox API Keys that allow developers to test integrations safely — without consuming credits — while still returning valid, schema-compliant responses.

A Sandbox Key behaves like a Production Key in terms of request format, authentication, and task lifecycle (run → status → results).
However, the returned data does not come from real-time agent computation. Instead, each agent returns preconfigured mock data or sample real data, depending on the agent type.

What Does a Sandbox Key Return?

Sandbox responses fall into two categories depending on the agent:

A. Agents Returning Mock Data
These agents return fully simulated outputs, designed to match the official output schema but not based on real data:

• HTS Code Classification Agent
• Tariff Calculation Agent

These responses allow developers to validate:

• Request/response structure
• Task status polling logic
• Rendering logic on the client side

B. Agents Returning Predefined Real Sample Data
These agents return fixed, realistic outputs derived from preset sample companies (e.g., Tesla or BYD).
These are not user-specific and do not reflect real-time queries, but they are authentic examples of actual agent outputs.

Agents using predefined real sample data:

• Corporate Due Diligence Report Agent → returns a preset BYD or Tesla due-diligence report
• Corporate Exception Report Agent → returns a preset BYD or Tesla exception report
• Supply Chain Graph Visualization Agent → returns a preset Tesla supply-chain graph
• Geographic Concentration Analysis Agent → returns a preset Tesla regional concentration dataset

These allow developers to:

• Preview the real structure of enterprise-level reports
• Test integration with full-severity risk outputs
• Validate UI rendering for complex, nested datasets

Key Properties of Sandbox Keys

• No credit consumption
• No real agent computation is performed
• Responses are deterministic, ensuring consistent integration testing
• Predefined real-data samples reflect true report formats, not synthetic hallucinations
• Switching to a Production Key enables full, real-time agent capabilities

How to Create a Sandbox Key

1. Navigate to Developer Settings → A2A/MCP Keys
2. Click Create Sandbox Key
3. Give it a name such as local-dev, ci-test, or mock-environment

Recommended Usage

• Sandbox Key → local development, CI/CD pipelines, front-end integration
• Production Key → staging environments, production workloads

4. Choose Your Integration

SupplyGraph AI exposes three integration surfaces. Pick the one that matches your client stack:

Integration	Endpoint	Best for	Documentation
A2A (recommended)	https://agent.supplygraph.ai/a2a	Agent orchestrators, A2A-native clients	A2A Protocol · Quick Example
MCP (recommended)	https://mcp.supplygraph.ai/mcp	Cursor, Claude Desktop, MCP-native IDEs	MCP Protocol · Quick Example
Agent API	https://agent.supplygraph.ai/api/v1/agents/{agent_id}/run	Traditional REST (run / status / results)	Agent API · Quick Example

All three use the same API key: Authorization: Bearer {api_key}.

For a detailed comparison and SDK options, see the Integration Guide.

Resource Discovery (ARD)

Broader resource discovery (agents, MCP tools, documentation links) is published via Agent Resource Discovery (ARD):

https://supplygraph.ai/.well-known/ai-catalog.json

See A2A Protocol § ARD for details.

5. Error Handling & Rate Limits

All responses include a unified status field and optional credits_used key.
Common errors:

Code	Description
UNAUTHORIZED	API key missing or expired
INSUFFICIENT_CREDITS	Not enough credits for this request
RATE_LIMITED	Too many requests — try again later
INVALID_REQUEST	Request is outside the current agent’s scope

Protocol-specific error handling: A2A · MCP · Agent API

6. Next Steps

• Explore the available AI Agents
• Run a quick example: A2A / MCP or Agent API
• Read the Integration Guide to choose the right protocol

7. Related Documentation

Resource	Link
Live Docs (GitHub Pages)	https://supplygraphai.github.io/supplygraph-ai/
Agent Library	https://supplygraphai.github.io/supplygraph-ai/agents/
ARD Catalog	https://supplygraph.ai/.well-known/ai-catalog.json
Client SDKs	a2a-sdk · mcp · supplygraphai_a2a_sdk (Agent API, optional)
Official Website	https://www.supplygraph.ai

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