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sample-agentic-retail-dynamic-pricing-demo MCP Server

aws-samples/sample-agentic-retail-dynamic-pricing-demo

Score: 54.2 Rank #9982 Agent Framework
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Multi-agent AI system for autonomous retail pricing optimization using Amazon Bedrock AgentCore. 6 specialized agents orchestrate competitive intelligence, demand forecasting, and strategy synthesis to generate ranked pricing scenarios with human-in-the-loop governance.

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Overview

aws-samples/sample-agentic-retail-dynamic-pricing-demo is a Python tool licensed under MIT-0. Multi-agent AI system for autonomous retail pricing optimization using Amazon Bedrock AgentCore. 6 specialized agents orchestrate competitive intelligence, demand forecasting, and strategy synthesis to generate ranked pricing scenarios with human-in-the-loop governance.

Ranked #9982 out of 24840 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT-0

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 2

2 stars → early stage

Freshness 25% 3d ago

Last commit 3d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 3
Description Detailed
License MIT-0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for aws-samples/sample-agentic-retail-dynamic-pricing-demo
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