supplygraph-ai

Procurement & Inventory Risk – Key Supplier Focus

Overview

The Procurement & Inventory Risk – Key Supplier Focus continuously monitors and analyzes upstream supplier risk events to determine whether, how, and to what extent the impact may propagate to a target company.

It transforms fragmented global supply chain signals into structured, auditable, and continuously updated company-to-company risk warnings, enabling organizations to monitor upstream supplier exposure in near real-time.

Pain

Enterprises need continuous visibility into critical upstream dependencies — not only to know when key suppliers are impacted by global supply chain events, but also to understand whether that impact may reach their own business.

Without structured cross-company risk propagation analysis, organizations often lack:

• Visibility into supplier-driven downstream risk
• Clear dependency paths from supplier to target company
• Quantified estimates of potential business impact
• Continuously updated warning signals
• Actionable recommendations before the risk reaches the enterprise

Traditional monitoring tools may detect supplier events, but they usually cannot explain how supplier impact propagates through product or service dependency paths to the target company.

Breakthrough

The Supply Chain Risk Prediction – Cross-Company Agent extends supplier monitoring into quantified company-to-company risk propagation.

Behind the scenes, it:

• Monitors global events affecting upstream supplier companies
• Quantifies how an original event impacts the supplier company
• Identifies product or service dependency paths between supplier and target company
• Propagates the supplier’s affected state toward the target company
• Estimates downstream enterprise risk, confidence, arrival timing, and key transmission logic
• Returns structured warning events and actionable recommendations

For the user, the workflow remains simple:

1. Provide a target company and a supplier company
2. Confirm the matched entities
3. Activate monitoring for the supplier under the target company
4. Retrieve the latest cross-company risk warnings at any time

Typical insights include:

• Supplier-side event impact
• Risk transmission path
• Enterprise risk value and change
• Confidence and confidence change
• Estimated arrival days
• Key price or market signals
• Actionable mitigation recommendations

Why SupplyGraph AI

Powered by:

• 100M+ global companies
• 1M+ key products and components
• Real-time global signal capture running 24/7
• Enterprise-product dependency graph intelligence
• Deep-tier risk quantification engine

SupplyGraph AI provides a continuously updated, auditable cross-company supply chain risk intelligence layer that connects upstream supplier events to downstream enterprise exposure.

This makes the agent suitable for:

• Supply chain risk teams
• Procurement and sourcing teams
• Enterprise risk management teams
• Investors and analysts
• Global operating companies with critical upstream dependencies

Agent Behavior Model

Sandbox Key Support (for Development)

This agent supports Sandbox API Keys, enabling developers to test integrations without consuming credits.

When using a Sandbox Key:

• No credits are deducted
• The agent returns predefined sample supplier-to-target risk warning data
• Data is static and does not update over time
• Responses do not trigger live monitoring or live risk computation
• Only validation and schema checks are executed

Sandbox Keys are ideal for:

• UI prototyping
• API integration testing
• SDK development
• CI/CD pipelines

⚠️ Sandbox data must not be used for production analytics.

The full A2A workflow (run → status → result) behaves the same as production, enabling accurate integration testing.

Initial Monitoring Setup

When a user initiates a new monitoring request through /run without specifying mode, or with mode=run, the agent starts the supplier customization process for a specific target company.

The request should provide both:

• Target Company
• Supplier Company

The agent then identifies and returns the matched companies for user confirmation.

First-time workflow:

1. User calls /run with target company and supplier company information
2. System creates a task_id
3. Agent returns matched target and supplier company candidates
4. User confirms the matched companies by replying Yes
5. The supplier monitoring customization is activated
6. The one-time supplier customization fee is charged
7. User retrieves the latest warning data via mode=result

After activation:

• The agent runs continuously
• Results are updated in real time
• Each result request returns the latest available warning data
• Status becomes completed after the initial setup is finished

Pricing & Billing Model

Pricing is based on supplier-level customization under a target company.

• Adding a Target Company is free
• Customizing a Supplier Company under a Target Company is paid
• The current price is $4,999 per supplier company per target company
• This is a one-time fee, not a subscription

The fee is charged only after the user confirms the matched target company and supplier company.

The fee covers:

• Supplier monitoring under the specified target company
• Continuous event detection
• Cross-company risk propagation analysis
• Latest warning data retrieval through the result mode
• Structured and auditable warning outputs

Understanding task_id and Monitoring Lifecycle

A task_id represents a supplier monitoring instance under a specific target company.

How task_id is created and maintained

• /run without task_id creates a new task
• After company confirmation, the task becomes an active monitoring instance
• The task remains valid for retrieving the latest warning data
• The system recognizes the monitoring instance by task_id

Implications:

• If a user loses the task_id and initiates a new /run, the system treats it as a new customization request
• If the same supplier needs to be monitored under multiple target companies, each target-supplier pair is treated independently
• Each supplier company is priced independently under each target company

Status Endpoint Behavior

The status mode is used to check whether the task setup has completed.

For this agent:

• Once the initial setup is completed, the task status remains completed
• Ongoing risk updates should be retrieved through mode=result
• Repeated status polling is usually unnecessary after completion

Result Endpoint Behavior

The result mode always returns the latest available warning data for the activated target-supplier monitoring instance.

• It may be called repeatedly
• Each request returns the freshest available data
• The agent continues running and updating warning events in the background
• The response may contain one or more active warning events

Input Requirements

agent_id: supply_chain_risk_prediction_cross_company · MCP tool: supply_chain_risk_prediction_cross_company

Field	Required	Description
text	Yes	Target company and supplier/component information

text Format

The text field should include both target company and supplier company information.

Recommended format:

target company: company name, country/region, address(optional), website(optional); supplier: company name, country/region, address(optional), website(optional)

Example:

target company: Tesla, Inc. United States; supplier: Albemarle Corporation United States

Example Response (WAITING_USER)

{
  "success": false,
  "code": "WAITING_USER",
  "data": {
    "task_id": "<task-id>",
    "agent": "supply_chain_risk_prediction_cross_company",
    "stage": "interpreting",
    "content": "Here are the companies we’ve identified.\nTarget Company Name: Tesla, Inc.\nCountry: United States\nSupplier Company Name: Albemarle Corporation\nCountry: United States\nPlease reply [Yes] or [No] to confirm."
  }
}

After the user replies Yes, the supplier customization is activated and the one-time fee is charged.

Confirm matched entities when prompted (WAITING_USER). Uses mode=result for latest data.

Integration

Method	ID / Tool	Documentation
A2A	supply_chain_risk_prediction_cross_company	a2a.md
MCP	supply_chain_risk_prediction_cross_company	mcp.md
Agent API	supply_chain_risk_prediction_cross_company	agent-api.md

Quick examples: A2A / MCP · Agent API

Errors

Common codes → Agent API §10. Returns WAITING_USER for company confirmation. Uses mode=result.

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