Xpersona

Crawler Summary

Competitor-Monitor answer-first brief

The AI Competitor Strategy Dashboard is an intelligent e-commerce analysis tool powered by CrewAI and Streamlit. It orchestrates a team of specialized AI agents to scout the web for competitor products, extract pricing and promotional data, and generate actionable strategic recommendations by comparing market realities against internal products. Competitor Strategy Agent The **AI Competitor Strategy Dashboard** is an intelligent e-commerce analysis tool powered by CrewAI and Streamlit. It orchestrates a team of specialized AI agents to scout the web for competitor products, extract pricing and promotional data, and generate actionable strategic recommendations by comparing market realities against your internal product metrics. Features - **Automated Web Res Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

Competitor-Monitor 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
Agent DossierGITHUB REPOSSafety: 66/100

Competitor-Monitor

The AI Competitor Strategy Dashboard is an intelligent e-commerce analysis tool powered by CrewAI and Streamlit. It orchestrates a team of specialized AI agents to scout the web for competitor products, extract pricing and promotional data, and generate actionable strategic recommendations by comparing market realities against internal products. Competitor Strategy Agent The **AI Competitor Strategy Dashboard** is an intelligent e-commerce analysis tool powered by CrewAI and Streamlit. It orchestrates a team of specialized AI agents to scout the web for competitor products, extract pricing and promotional data, and generate actionable strategic recommendations by comparing market realities against your internal product metrics. Features - **Automated Web Res

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Rohanmankame

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 10/9/2026.

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

Rohanmankame

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 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

bash

git clone <repository_url>
   cd Competitor-Monitor

bash

python -m venv venv
   # On Windows:
   venv\Scripts\activate
   # On macOS/Linux:
   source venv/bin/activate

bash

pip install -r requirements.txt

env

OPENAI_API_KEY="sk-..."
   FIRECRAWL_API_KEY="fc-..."

bash

streamlit run app.py

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

The AI Competitor Strategy Dashboard is an intelligent e-commerce analysis tool powered by CrewAI and Streamlit. It orchestrates a team of specialized AI agents to scout the web for competitor products, extract pricing and promotional data, and generate actionable strategic recommendations by comparing market realities against internal products. Competitor Strategy Agent The **AI Competitor Strategy Dashboard** is an intelligent e-commerce analysis tool powered by CrewAI and Streamlit. It orchestrates a team of specialized AI agents to scout the web for competitor products, extract pricing and promotional data, and generate actionable strategic recommendations by comparing market realities against your internal product metrics. Features - **Automated Web Res

Full README

Competitor Strategy Agent

The AI Competitor Strategy Dashboard is an intelligent e-commerce analysis tool powered by CrewAI and Streamlit. It orchestrates a team of specialized AI agents to scout the web for competitor products, extract pricing and promotional data, and generate actionable strategic recommendations by comparing market realities against your internal product metrics.

Features

  • Automated Web Research: Employs a Market Researcher agent to automatically find exact-match competitor product pages across selected target domains (e.g., Amazon, Flipkart) or the broader web.
  • Data Scraping & Extraction: Uses a Competitive Intelligence Scout agent equipped with Firecrawl to scrape competitor pricing, active discounts, promotional banners, and user ratings directly from product URLs.
  • Strategic Analysis: A Strategist agent analyzes gathered market data against your provided internal metrics (base price, promotions, target sales, and expected ratings).
  • Actionable Insights: Generates a rich, multi-dimensional "Competitive Strategy Report" recommending tactical moves such as "LOWER PRICE", "INCREASE AD SPEND", "HOLD", or "OVERHAUL VALUE PROP".
  • Interactive UI: An intuitive, easy-to-use Streamlit dashboard for entering product details, target domains, and internal metrics.

Prerequisites

Before running this application, you will need the following API keys configured in a .env file in the root directory:

  • OPENAI_API_KEY: Required by LangChain/CrewAI for the underlying LLMs.
  • FIRECRAWL_API_KEY: Required by the FirecrawlSearchTool and FirecrawlScrapeTool to perform web searches and scrape site content.

Installation

  1. Clone the repository (if not already local):

    git clone <repository_url>
cd Competitor-Monitor

  2. Create and activate a virtual environment (recommended):

    python -m venv venv
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

  3. Install dependencies:

    pip install -r requirements.txt

  4. Environment Variables: Ensure you have a .env file containing your API keys:

    OPENAI_API_KEY="sk-..."
FIRECRAWL_API_KEY="fc-..."

Usage

Start the Streamlit web application:

streamlit run app.py
  1. Open the provided local URL (typically http://localhost:8501) in your browser.
  2. Enter the Product Name / Search Query (e.g., Apple AirPods Pro 2).
  3. Select any Target Domains you want to focus on (or leave blank for universal search).
  4. Enter your Internal Base Price, Currency, Promotion/Discount, Sales Volume, and Star Rating.
  5. Click Run Strategic Analysis.
  6. Wait 1-2 minutes while the AI agents gather and process the data to produce your report.

How It Works (The Crew)

The application runs a sequential CrewAI process with three distinct agents:

  1. Market Researcher (agents.py): Uses the web search tool to find direct product URLs based on the user's query and target domains.
  2. Competitive Intelligence Scout (agents.py): Takes the URLs from the researcher, scrapes the product pages, and extracts structured key metrics (price, discounts, ratings, promotions).
  3. E-commerce Strategy Consultant (agents.py): Takes the scraped market data and compares it against the provided internal data to decide on the best tactical move and formulate the final strategic report.

Dependencies

  • Streamlit for the frontend UI.
  • CrewAI for orchestrating the AI agents.
  • Firecrawl for web search and scraping.
  • LangChain / OpenAI for AI reasoning.
  • python-dotenv for environment management.
  • pydantic for structured data models.

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://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/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.

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

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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://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T03:46:19.548Z"
    }
  },
  "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": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Rohanmankame",
    "href": "https://github.com/RohanMankame/Competitor-Monitor",
    "sourceUrl": "https://github.com/RohanMankame/Competitor-Monitor",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:27:16.790Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:27:16.790Z",
    "isPublic": true
  },
  {
    "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": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-rohanmankame-competitor-monitor/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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