Xpersona

Crawler Summary

AWS-Bedrock-SNS-Agent answer-first brief

This project provides a simplified brand monitoring system using CrewAI. It leverages standalone functions with @tool decorators for tasks like searching brand mentions with BrightData, scraping content, analyzing sentiment with AWS Bedrock, and generating reports. The agent combines multi-source search capabilities and AI-powered analysis. Brand Monitoring System - AWS Agentic AI Hackathon Best way to understand the project structure : DeepWiki AWS Agentic Bedrock. [https://deepwiki.com/Ana2k/AWS-Bedrock-SNS-Agent] 🚀 **Social Media Brand monitor AWS Agentic AI 1 Day Hackathon Day 1 in just 4 hours!** A comprehensive AI-powered brand monitoring system that tracks brand mentions across multiple platforms, analyzes sentiment, and generates actionable rep Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

AWS-Bedrock-SNS-Agent is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

AWS-Bedrock-SNS-Agent

This project provides a simplified brand monitoring system using CrewAI. It leverages standalone functions with @tool decorators for tasks like searching brand mentions with BrightData, scraping content, analyzing sentiment with AWS Bedrock, and generating reports. The agent combines multi-source search capabilities and AI-powered analysis. Brand Monitoring System - AWS Agentic AI Hackathon Best way to understand the project structure : DeepWiki AWS Agentic Bedrock. [https://deepwiki.com/Ana2k/AWS-Bedrock-SNS-Agent] 🚀 **Social Media Brand monitor AWS Agentic AI 1 Day Hackathon Day 1 in just 4 hours!** A comprehensive AI-powered brand monitoring system that tracks brand mentions across multiple platforms, analyzes sentiment, and generates actionable rep

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Ana2k

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

View Source

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Ana2k

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

5

Snippets

0

Languages

python

Executable Examples

mermaid

graph TB
    subgraph "User Interface Layer"
        UI[Flask Web Frontend]
        API[REST API Endpoints]
        DEMO[Demo Scripts]
    end
    
    subgraph "Core Application Layer"
        AGENT[Brand Monitoring Agent]
        CREW[CrewAI Framework]
        TOOLS[Custom Tools]
    end
    
    subgraph "Data Processing Layer"
        SEARCH[Brand Search Tool]
        SCRAPE[Content Scraping Tool]
        SENTIMENT[Sentiment Analysis Tool]
        REPORT[Report Generation Tool]
    end
    
    subgraph "External Services"
        BRIGHTDATA[BrightData Proxy]
        BEDROCK[AWS Bedrock AI]
        DUCKDUCKGO[DuckDuckGo Search]
    end
    
    subgraph "Data Storage"
        JSON[JSON Results Storage]
        FILES[File System]
    end
    
    subgraph "Testing & Validation"
        TESTS[Test Suite]
        DEMO_TESTS[Demo Validation]
        RATE_LIMIT[Rate Limiting Tests]
    end
    
    UI --> API
    API --> AGENT
    DEMO --> AGENT
    AGENT --> CREW
    CREW --> TOOLS
    
    TOOLS --> SEARCH
    TOOLS --> SCRAPE
    TOOLS --> SENTIMENT
    TOOLS --> REPORT
    
    SEARCH --> BRIGHTDATA
    SEARCH --> DUCKDUCKGO
    SCRAPE --> BRIGHTDATA
    SENTIMENT --> BEDROCK
    REPORT --> BEDROCK
    
    AGENT --> JSON
    API --> FILES
    
    TESTS --> AGENT
    DEMO_TESTS --> DEMO
    RATE_LIMIT --> TOOLS

bash

pip install -r requirements.txt

bash

export AWS_ACCESS_KEY_ID=your_key
export AWS_SECRET_ACCESS_KEY=your_secret

bash

python demo_brand_monitoring.py

bash

cd frontend
python enhanced_app.py
# Open http://localhost:5000

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

This project provides a simplified brand monitoring system using CrewAI. It leverages standalone functions with @tool decorators for tasks like searching brand mentions with BrightData, scraping content, analyzing sentiment with AWS Bedrock, and generating reports. The agent combines multi-source search capabilities and AI-powered analysis. Brand Monitoring System - AWS Agentic AI Hackathon Best way to understand the project structure : DeepWiki AWS Agentic Bedrock. [https://deepwiki.com/Ana2k/AWS-Bedrock-SNS-Agent] 🚀 **Social Media Brand monitor AWS Agentic AI 1 Day Hackathon Day 1 in just 4 hours!** A comprehensive AI-powered brand monitoring system that tracks brand mentions across multiple platforms, analyzes sentiment, and generates actionable rep

Full README

Brand Monitoring System - AWS Agentic AI Hackathon

Best way to understand the project structure : DeepWiki AWS Agentic Bedrock. [https://deepwiki.com/Ana2k/AWS-Bedrock-SNS-Agent]

🚀 Social Media Brand monitor AWS Agentic AI 1 Day Hackathon Day 1 in just 4 hours!

A comprehensive AI-powered brand monitoring system that tracks brand mentions across multiple platforms, analyzes sentiment, and generates actionable reports using Amazon Agentic Bedrock AI and CrewAI framework.

🏆 Hackathon Achievement : 2nd Runner Ups

  • ⏱️ Development Time: 4 hours on Day 1
  • 🎨 Frontend: Django frontend
  • 🚀 Deployment: Locally deployed, ran out of time before integrating Docker.
  • 🤖 AI Integration: Amazon Bedrock Agentic AI with Claude 3.5 Sonnet
  • 📊 Real Results: Working system with live sentiment analysis

🎯 What It Does

  • Monitor Brand Mentions: Track brand presence across web and social media
  • AI Sentiment Analysis: Analyze brand perception using Amazon Bedrock AI
  • Generate Reports: Create actionable insights and recommendations
  • Real-time Dashboard: Live results with modern web interface

🏗️ System Architecture

graph TB
    subgraph "User Interface Layer"
        UI[Flask Web Frontend]
        API[REST API Endpoints]
        DEMO[Demo Scripts]
    end
    
    subgraph "Core Application Layer"
        AGENT[Brand Monitoring Agent]
        CREW[CrewAI Framework]
        TOOLS[Custom Tools]
    end
    
    subgraph "Data Processing Layer"
        SEARCH[Brand Search Tool]
        SCRAPE[Content Scraping Tool]
        SENTIMENT[Sentiment Analysis Tool]
        REPORT[Report Generation Tool]
    end
    
    subgraph "External Services"
        BRIGHTDATA[BrightData Proxy]
        BEDROCK[AWS Bedrock AI]
        DUCKDUCKGO[DuckDuckGo Search]
    end
    
    subgraph "Data Storage"
        JSON[JSON Results Storage]
        FILES[File System]
    end
    
    subgraph "Testing & Validation"
        TESTS[Test Suite]
        DEMO_TESTS[Demo Validation]
        RATE_LIMIT[Rate Limiting Tests]
    end
    
    UI --> API
    API --> AGENT
    DEMO --> AGENT
    AGENT --> CREW
    CREW --> TOOLS
    
    TOOLS --> SEARCH
    TOOLS --> SCRAPE
    TOOLS --> SENTIMENT
    TOOLS --> REPORT
    
    SEARCH --> BRIGHTDATA
    SEARCH --> DUCKDUCKGO
    SCRAPE --> BRIGHTDATA
    SENTIMENT --> BEDROCK
    REPORT --> BEDROCK
    
    AGENT --> JSON
    API --> FILES
    
    TESTS --> AGENT
    DEMO_TESTS --> DEMO
    RATE_LIMIT --> TOOLS

🛠️ 5 AI Tools Built

  1. Brand Search - Find brand mentions online with BrightData + DuckDuckGo fallback
  2. Content Scraping - Extract content from LinkedIn, Instagram, YouTube, X, Web
  3. Sentiment Analysis - AI-powered sentiment scoring with Claude 3.5 Sonnet
  4. Report Generation - Comprehensive brand monitoring reports
  5. Web Search - Additional search capabilities with rate limiting

🔧 How It Works

  1. Search → Find brand mentions across platforms
  2. Analyze → AI sentiment analysis with Amazon Bedrock
  3. Report → Generate actionable insights

Features: Rate limiting, fallback systems, multi-platform support

📸 Demo Screenshots

System in Action

Brand Monitoring System Screenshot

What This Screenshot Shows:

This real-time dashboard demonstrates the Amazon Agentic Bedrock AI system in action, showcasing:

  • 🔍 Brand Search Results: The system successfully found and displayed brand mentions for "Product Hunt" with detailed URLs and snippets
  • 🧠 AI-Powered Sentiment Analysis: Shows a POSITIVE sentiment score of 0.80 with 90.0% confidence, demonstrating the AI's ability to analyze brand perception
  • Comprehensive Reporting: Displays a complete JSON-formatted brand analysis report with structured data
<!-- - **Real-Time Processing**: All three panels (Search Results, Sentiment Analysis, Full Report) are populated simultaneously, showing the system's efficiency -->
  • Multi-Platform Coverage: Results include mentions from various sources including Product Hunt's official website and social media platforms

📊 Live Demo Results

Brand: Product Hunt

  • Mentions Found: 10 results
  • Sentiment: POSITIVE (0.80 score)
  • Confidence: 90.0%

Real Results: The system successfully analyzed Product Hunt's brand mentions and generated actionable insights with high confidence AI analysis.

🧪 Testing & Validation

<!-- ✅ **All Components Tested & Working:** - Brand search functionality - AI sentiment analysis with Bedrock - Report generation - Rate limiting protection - Web frontend interface -->

Test Suite: Comprehensive testing in test-demo/ directory

🚀 Quick Start

1. Install Dependencies

pip install -r requirements.txt

2. Set AWS Credentials

export AWS_ACCESS_KEY_ID=your_key
export AWS_SECRET_ACCESS_KEY=your_secret

3. Run Demo

python demo_brand_monitoring.py

4. Start Web Frontend

cd frontend
python enhanced_app.py
# Open http://localhost:5000

Features: 3-second rate limiting, fallback systems, error handling

📁 Project Structure

  • brand_monitoring_agent.py - Main AI agent
  • demo_brand_monitoring.py - Demo script
  • frontend/enhanced_app.py - Web dashboard
  • data_storage.py - Data management
  • test-demo/ - Test suite
<!-- ## 🎯 Success Metrics --> <!-- ### Demo Completion Status - ✅ **DEMO COMPLETED SUCCESSFULLY!** - ✅ All components worked correctly - ✅ Rate limiting protection active - ✅ Sentiment analysis functional - ✅ Report generation working ### Performance Indicators - **Search Success Rate**: 100% (with fallbacks) - **Sentiment Analysis Accuracy**: High confidence (0.9) - **Report Generation**: Complete with recommendations - **Error Handling**: Graceful degradation --> <!-- ## 🔮 Future Enhancements 1. **Real-time Monitoring**: Continuous brand monitoring 2. **Alert System**: Notifications for sentiment changes 3. **Historical Analysis**: Trend tracking over time 4. **Multi-language Support**: International brand monitoring 5. **Advanced Analytics**: Machine learning insights 6. **API Integration**: RESTful API for external systems ## 📞 Support For issues or questions: 1. Check the test results in `test-demo/` directory 2. Review the demo output for component status 3. Verify AWS and BrightData credentials 4. Check network connectivity for external services -->

AWS Startup Loft Group Image

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-04-17T00:07:03.818Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Ana2k",
    "href": "https://github.com/Ana2k/AWS-Bedrock-SNS-Agent",
    "sourceUrl": "https://github.com/Ana2k/AWS-Bedrock-SNS-Agent",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:06:57.267Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T05:06:57.267Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/crewai-ana2k-aws-bedrock-sns-agent/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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