Github ReposUpdated 7h agoRank 70
AionUi
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!
MCPOPENCLAW
Crawler Summary
-market-research-crew answer-first brief
AI-powered multi-agent market research app built with CrewAI, Groq, and Streamlit Market Research Crew An AI-powered multi-agent market research application built with CrewAI, Groq, and Streamlit. Enter any company name and four specialized AI agents will research it and generate a comprehensive professional market research report. Live Demo [Click here to try the app] https://market-research-crew.streamlit.app/ ← We will add this link after Streamlit deployment What It Does Enter any company name Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
-market-research-crew 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
Agent DossierGITHUB REPOSSafety: 66/100
-market-research-crew
AI-powered multi-agent market research app built with CrewAI, Groq, and Streamlit Market Research Crew An AI-powered multi-agent market research application built with CrewAI, Groq, and Streamlit. Enter any company name and four specialized AI agents will research it and generate a comprehensive professional market research report. Live Demo [Click here to try the app] https://market-research-crew.streamlit.app/ ← We will add this link after Streamlit deployment What It Does Enter any company name
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
Aamirqadeerdev
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Setup snapshot
- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 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.
Vendor (1)
Vendor
Aamirqadeerdev
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
python
Executable Examples
text
market-research-crew/ ├── config.py # LLM connection and API configuration ├── agents.py # Four specialized AI agent definitions ├── tasks.py # Task assignments and context passing ├── crew.py # Crew orchestration and kickoff function ├── app.py # Streamlit web interface ├── requirements.txt # Project dependencies └── .gitignore # Git ignore rules
text
git clone https://github.com/aamirqadeerdev/-market-research-crew.git cd market-research-crew
text
python -m venv venv venv\Scripts\activate
text
pip install -r requirements.txt pip install litellm pip install "crewai[google-genai]"
text
GROQ_API_KEY=your_groq_api_key_here OPENAI_API_KEY=dummy-key-not-used
text
streamlit run app.py
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
AI-powered multi-agent market research app built with CrewAI, Groq, and Streamlit Market Research Crew An AI-powered multi-agent market research application built with CrewAI, Groq, and Streamlit. Enter any company name and four specialized AI agents will research it and generate a comprehensive professional market research report. Live Demo [Click here to try the app] https://market-research-crew.streamlit.app/ ← We will add this link after Streamlit deployment What It Does Enter any company name
Full README
Market Research Crew
An AI-powered multi-agent market research application built with CrewAI, Groq, and Streamlit. Enter any company name and four specialized AI agents will research it and generate a comprehensive professional market research report.
Live Demo
[Click here to try the app] https://market-research-crew.streamlit.app/ ← We will add this link after Streamlit deployment
What It Does
Enter any company name and the app will automatically generate a full market research report covering company overview, market analysis, competitor landscape, SWOT analysis, and key business insights.
How It Works
Four specialized AI agents work sequentially to research and write the report:
- Agent 1 — Company Researcher finds the company overview, history, products, team, funding, and latest news
- Agent 2 — Market Analyst analyzes the industry size, growth rate, trends, opportunities, and threats
- Agent 3 — Competitor Analyst identifies top 3 competitors and builds a SWOT analysis
- Agent 4 — Report Writer synthesizes all findings into a professional markdown report
Tech Stack
- CrewAI — multi-agent orchestration framework
- Groq — ultra-fast LLM inference platform
- Llama 3.3 70B — large language model by Meta
- Streamlit — web application framework
- Python — core programming language
Project Structure
market-research-crew/
├── config.py # LLM connection and API configuration
├── agents.py # Four specialized AI agent definitions
├── tasks.py # Task assignments and context passing
├── crew.py # Crew orchestration and kickoff function
├── app.py # Streamlit web interface
├── requirements.txt # Project dependencies
└── .gitignore # Git ignore rules
How to Run Locally
1. Clone the repository
git clone https://github.com/aamirqadeerdev/-market-research-crew.git
cd market-research-crew
2. Create and activate virtual environment
python -m venv venv
venv\Scripts\activate
3. Install dependencies
pip install -r requirements.txt
pip install litellm
pip install "crewai[google-genai]"
4. Create .env file
GROQ_API_KEY=your_groq_api_key_here
OPENAI_API_KEY=dummy-key-not-used
5. Run the app
streamlit run app.py
Key Concepts Demonstrated
- Multi-agent AI system design and orchestration
- Sequential pipeline with context passing between agents
- LLM API integration with rate limit handling
- Professional web application development
- Secure API key management with environment variables
- Clean project structure and documentation
Author
Aamir Qadeer — Full Stack Developer and AI Engineer
- Available for Canadian remote opportunities
- Open to relocation to Canada
Contract & API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
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-aamirqadeerdev-market-research-crew/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-aamirqadeerdev-market-research-crew/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-aamirqadeerdev-market-research-crew/trust"
Reliability & Benchmarks
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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.
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.
Github ReposUpdated 6mo agoRank 70
activepieces
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
OPENCLAW
Github ReposUpdated 6mo agoRank 70
cherry-studio
AI productivity studio with smart chat, autonomous agents, and 300+ assistants.
MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70
CopilotKit
The Frontend for Agents & Generative UI. React + Angular
OPENCLAW
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-aamirqadeerdev-market-research-crew/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-aamirqadeerdev-market-research-crew/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-aamirqadeerdev-market-research-crew/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aamirqadeerdev-market-research-crew/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aamirqadeerdev-market-research-crew/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-aamirqadeerdev-market-research-crew/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-10T02:03:01.619Z"
}
},
"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": "Aamirqadeerdev",
"href": "https://github.com/aamirqadeerdev/-market-research-crew",
"sourceUrl": "https://github.com/aamirqadeerdev/-market-research-crew",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T21:25:50.289Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-aamirqadeerdev-market-research-crew/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-aamirqadeerdev-market-research-crew/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T21:25:50.289Z",
"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-aamirqadeerdev-market-research-crew/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-aamirqadeerdev-market-research-crew/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
}
]