Xpersona

Crawler Summary

AI-powered-multi-agent-procurement-system answer-first brief

An AI-powered multi-agent procurement system built with CrewAI that automates product discovery, web search, AI scraping, product comparison, and professional procurement report generation using Tavily, ScrapeGraphAI, and modern LLMs. AI-powered-multi-agent-procurement-system An AI-powered multi-agent procurement system built with CrewAI that automates product discovery, web search, AI scraping, product comparison, and professional procurement report generation using Tavily, ScrapeGraphAI, and modern LLMs. AI Procurement Agent using CrewAI Overview AI Procurement Agent is a multi-agent procurement automation system built with CrewAI. The system se Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

AI-powered-multi-agent-procurement-system 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

AI-powered-multi-agent-procurement-system

An AI-powered multi-agent procurement system built with CrewAI that automates product discovery, web search, AI scraping, product comparison, and professional procurement report generation using Tavily, ScrapeGraphAI, and modern LLMs. AI-powered-multi-agent-procurement-system An AI-powered multi-agent procurement system built with CrewAI that automates product discovery, web search, AI scraping, product comparison, and professional procurement report generation using Tavily, ScrapeGraphAI, and modern LLMs. AI Procurement Agent using CrewAI Overview AI Procurement Agent is a multi-agent procurement automation system built with CrewAI. The system se

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

Ismailelsayedeltanja

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Unpublished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

Ismailelsayedeltanja

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

text

User Request
      │
      ▼
Search Query Recommendation Agent
      │
      ▼
Search Engine Agent
      │
      ▼
Web Scraping Agent
      │
      ▼
Procurement Report Agent
      │
      ▼
Professional HTML Report

text

.
├── ai_agent_101.py
├── ai-agent-output
│   ├── step_1_suggested_search_queries.json
│   ├── step_2_search_results.json
│   ├── step_3_search_results.json
│   └── step_4_procurement_report.html
├── README.md
└── .gitignore

bash

pip install -U crewai crewai-tools agentops sentence-transformers
pip install tavily-python scrapegraph-py

text

OPENAI_API_KEY

OPENROUTER_API_KEY

GROQ_API_KEY

XAI_API_KEY

HF_TOKEN

TAVILY_API_KEY

SCRAPEGRAPH_API_KEY

AGENTOPS_API_KEY

python

crew_results = await rankyx_crew.kickoff_async(
    inputs={
        "product_name": "coffee machine for the office",
        "websites_list": [
            "www.amazon.eg",
            "www.jumia.com.eg",
            "www.noon.com/egypt-en"
        ],
        "country_name": "Egypt",
        "no_keywords": 10,
        "language": ["English", "Arabic"],
        "score_th": 0.10,
        "top_recommendations_no": 10
    }
)

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

An AI-powered multi-agent procurement system built with CrewAI that automates product discovery, web search, AI scraping, product comparison, and professional procurement report generation using Tavily, ScrapeGraphAI, and modern LLMs. AI-powered-multi-agent-procurement-system An AI-powered multi-agent procurement system built with CrewAI that automates product discovery, web search, AI scraping, product comparison, and professional procurement report generation using Tavily, ScrapeGraphAI, and modern LLMs. AI Procurement Agent using CrewAI Overview AI Procurement Agent is a multi-agent procurement automation system built with CrewAI. The system se

Full README

AI-powered-multi-agent-procurement-system

An AI-powered multi-agent procurement system built with CrewAI that automates product discovery, web search, AI scraping, product comparison, and professional procurement report generation using Tavily, ScrapeGraphAI, and modern LLMs.

AI Procurement Agent using CrewAI

Overview

AI Procurement Agent is a multi-agent procurement automation system built with CrewAI. The system searches for products across multiple e-commerce websites, extracts detailed product information using AI-powered web scraping, compares available options, and automatically generates a professional procurement report.

The project demonstrates how multiple AI agents can collaborate to automate an end-to-end purchasing workflow, from search query generation to final procurement recommendations.

Features

  • Multi-Agent Architecture using CrewAI
  • AI-generated search queries
  • Product search using Tavily Search API
  • AI-powered web scraping using ScrapeGraphAI
  • Product comparison across multiple e-commerce websites
  • Automatic product ranking and recommendations
  • HTML procurement report generation
  • Knowledge integration using CrewAI Knowledge Sources
  • Structured outputs using Pydantic models
  • Compatible with Google Colab

Workflow

User Request
      │
      ▼
Search Query Recommendation Agent
      │
      ▼
Search Engine Agent
      │
      ▼
Web Scraping Agent
      │
      ▼
Procurement Report Agent
      │
      ▼
Professional HTML Report

Agents

Search Queries Recommendation Agent

Generates optimized search queries based on:

  • Product name
  • Country
  • Preferred websites
  • Target language

Search Engine Agent

Searches multiple search queries using Tavily Search and filters irrelevant or low-confidence results.

Web Scraping Agent

Visits each product page and extracts:

  • Product title
  • Product image
  • Product URL
  • Current price
  • Original price
  • Discount percentage
  • Specifications
  • Recommendation score
  • Recommendation notes

using ScrapeGraphAI.

Procurement Report Author Agent

Generates a professional procurement report including:

  • Executive Summary
  • Introduction
  • Methodology
  • Product Comparison
  • Analysis
  • Recommendations
  • Conclusion
  • Appendices

The report is generated as a Bootstrap-powered HTML page.

Technologies

  • Python
  • CrewAI
  • CrewAI Tools
  • Tavily Search API
  • ScrapeGraphAI
  • Pydantic
  • Sentence Transformers
  • HuggingFace Embeddings
  • AgentOps
  • Bootstrap

Project Structure

.
├── ai_agent_101.py
├── ai-agent-output
│   ├── step_1_suggested_search_queries.json
│   ├── step_2_search_results.json
│   ├── step_3_search_results.json
│   └── step_4_procurement_report.html
├── README.md
└── .gitignore

Installation

pip install -U crewai crewai-tools agentops sentence-transformers
pip install tavily-python scrapegraph-py

Environment Variables

Create the following environment variables or configure them using Google Colab Secrets.

OPENAI_API_KEY

OPENROUTER_API_KEY

GROQ_API_KEY

XAI_API_KEY

HF_TOKEN

TAVILY_API_KEY

SCRAPEGRAPH_API_KEY

AGENTOPS_API_KEY

Example Usage

crew_results = await rankyx_crew.kickoff_async(
    inputs={
        "product_name": "coffee machine for the office",
        "websites_list": [
            "www.amazon.eg",
            "www.jumia.com.eg",
            "www.noon.com/egypt-en"
        ],
        "country_name": "Egypt",
        "no_keywords": 10,
        "language": ["English", "Arabic"],
        "score_th": 0.10,
        "top_recommendations_no": 10
    }
)

Output

The system generates:

  • Suggested search queries
  • Search results
  • Structured product information
  • Final procurement report in HTML

Future Improvements

  • Support additional search providers
  • Price history tracking
  • Product review analysis
  • RAG-based company procurement policies
  • Vendor scoring
  • Multi-currency support
  • Cost optimization algorithms
  • Interactive dashboard

License

This project is released under the MIT License.

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-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/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-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T18:49:13.360Z"
    }
  },
  "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": "Ismailelsayedeltanja",
    "href": "https://github.com/ismailelsayedeltanja/AI-powered-multi-agent-procurement-system",
    "sourceUrl": "https://github.com/ismailelsayedeltanja/AI-powered-multi-agent-procurement-system",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:17:50.340Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:17:50.340Z",
    "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-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ismailelsayedeltanja-ai-powered-multi-agent-procurement-/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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