Xpersona

Crawler Summary

data-analyst-agents answer-first brief

A hierarchical multi-agent analytics assistant built with CrewAI, Ollama, Streamlit, Function Tools, and a Local MCP Server to automate data analysis and data science tasks through collaborative AI agents. CrewAI Native Delegation Analytics Assistant Project Overview This project is a multi-agent analytics assistant developed using **CrewAI**, **Streamlit**, **Ollama**, and a **local MCP (Model Context Protocol) Server**. The application demonstrates how multiple AI agents collaborate to solve analytics and machine learning tasks through native delegation. The system contains three specialized agents: - Supervisor Agen Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

data-analyst-agents 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

data-analyst-agents

A hierarchical multi-agent analytics assistant built with CrewAI, Ollama, Streamlit, Function Tools, and a Local MCP Server to automate data analysis and data science tasks through collaborative AI agents. CrewAI Native Delegation Analytics Assistant Project Overview This project is a multi-agent analytics assistant developed using **CrewAI**, **Streamlit**, **Ollama**, and a **local MCP (Model Context Protocol) Server**. The application demonstrates how multiple AI agents collaborate to solve analytics and machine learning tasks through native delegation. The system contains three specialized agents: - Supervisor Agen

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

Ashish9122

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Unpublished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

Ashish9122

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

0

Snippets

0

Languages

python

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

A hierarchical multi-agent analytics assistant built with CrewAI, Ollama, Streamlit, Function Tools, and a Local MCP Server to automate data analysis and data science tasks through collaborative AI agents. CrewAI Native Delegation Analytics Assistant Project Overview This project is a multi-agent analytics assistant developed using **CrewAI**, **Streamlit**, **Ollama**, and a **local MCP (Model Context Protocol) Server**. The application demonstrates how multiple AI agents collaborate to solve analytics and machine learning tasks through native delegation. The system contains three specialized agents: - Supervisor Agen

Full README

CrewAI Native Delegation Analytics Assistant

Project Overview

This project is a multi-agent analytics assistant developed using CrewAI, Streamlit, Ollama, and a local MCP (Model Context Protocol) Server.

The application demonstrates how multiple AI agents collaborate to solve analytics and machine learning tasks through native delegation.

The system contains three specialized agents:

  • Supervisor Agent
  • Data Analyst Agent
  • Data Scientist Agent

The application allows users to upload a CSV dataset and ask analytics questions. Based on the request, the Supervisor Agent delegates work to the appropriate specialist agent(s), combines their responses, and returns a structured answer.

Features

  • Multi-Agent Architecture using CrewAI
  • Native Hierarchical Delegation
  • Local MCP Server
  • CSV Dataset Upload
  • Dataset Profiling
  • Data Quality Detection
  • KPI Recommendation
  • Dashboard Recommendation
  • SQL Validation
  • ML Use Case Recommendation
  • Feature Engineering Suggestions
  • Final Markdown Report
  • Live Activity Timeline
  • Sidebar Metrics
  • Context Window Estimation

Project Structure

CrewAI_Native_Delegation/

│
├── agents/
│   ├── supervisor_agent.py
│   ├── data_analyst_agent.py
│   └── data_scientist_agent.py
│
├── analytics_mcp_server/
│   ├── server.py
│   ├── sample_data/
│   └── tools/
│       ├── csv_profile_tools.py
│       ├── data_quality_tools.py
│       ├── sql_tools.py
│       ├── kpi_tools.py
│       ├── ml_tools.py
│       └── report_tools.py
│
├── function_tools/
│   ├── supervisor_tools.py
│   ├── analyst_tools.py
│   └── scientist_tools.py
│
├── config/
│   ├── agents.yaml
│   └── tasks.yaml
│
├── tests/
│
├── docs/
│
├── app.py
│
└── README.md

Agents

1. Supervisor Agent

Responsibilities

  • Understand user request
  • Review conversation
  • Decide delegation strategy
  • Delegate to specialist agents
  • Combine responses
  • Return final answer

2. Data Analyst Agent

Responsibilities

  • Dataset Profiling
  • SQL Validation
  • KPI Suggestion
  • Dashboard Recommendation
  • Business Insights
  • Trend Explanation

3. Data Scientist Agent

Responsibilities

  • ML Problem Recommendation
  • Feature Engineering
  • Data Quality Detection
  • Evaluation Metrics
  • ML Pipeline Planning
  • Model Strategy

Function Tools

Supervisor Tools

  • classify_user_request
  • create_agent_work_plan
  • summarize_chat_history
  • validate_final_response_structure
  • estimate_context_usage

Data Analyst Tools

  • profile_dataframe
  • suggest_kpi_metrics
  • generate_dashboard_layout
  • validate_sql_safety
  • explain_query_result

Data Scientist Tools

  • recommend_ml_problem_type
  • suggest_feature_engineering
  • detect_ml_data_risks
  • recommend_evaluation_metrics
  • create_ml_pipeline_plan

MCP Tools

The local MCP Server provides reusable analytics tools.

Implemented MCP Tools

  1. mcp_profile_csv
  2. mcp_validate_sql
  3. mcp_detect_data_quality_issues
  4. mcp_generate_kpi_catalog
  5. mcp_recommend_ml_use_cases
  6. mcp_generate_report_markdown

Technologies Used

  • Python
  • CrewAI
  • Streamlit
  • Ollama
  • FastMCP
  • Pandas
  • YAML

Installation

Clone the repository

git clone <repository-url>

Create virtual environment

python -m venv .venv

Activate environment

Windows

.venv\Scripts\activate

Install dependencies

pip install -r requirements.txt

Running the Project

Start Ollama

ollama serve

Pull model

ollama pull llama3.2:3b

Run MCP Server

python -m analytics_mcp_server.server

Run Streamlit

streamlit run app.py

Example Queries

Example 1

Summarize the uploaded dataset.

Example 2

Identify data quality issues.

Example 3

Suggest dashboard KPIs.

Example 4

Recommend ML use cases.

Example 5

Analyze the uploaded dataset and provide an implementation plan.

Safety Features

  • SQL Query Validation
  • CSV File Validation
  • Upload Size Restriction
  • Restricted File Access
  • Hidden Debug Logs
  • Safe Exception Handling

Deliverables

  • Streamlit Application
  • Three CrewAI Agents
  • agents.yaml
  • tasks.yaml
  • Function Tools
  • MCP Server
  • MCP Tools
  • Sample Dataset
  • Architecture Documentation
  • Test Cases
  • README

Future Improvements

  • Better Native Delegation
  • Support Multiple Datasets
  • Interactive Dashboards
  • Automatic Visualization
  • Cloud Deployment
  • Authentication
  • Advanced ML Pipelines

Authors

Developed as part of the ML & Agentic AI Project using CrewAI, Ollama, FastMCP, and Streamlit.

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-ashish9122-data-analyst-agents/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-ashish9122-data-analyst-agents/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-ashish9122-data-analyst-agents/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.

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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-ashish9122-data-analyst-agents/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-ashish9122-data-analyst-agents/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-ashish9122-data-analyst-agents/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ashish9122-data-analyst-agents/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ashish9122-data-analyst-agents/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ashish9122-data-analyst-agents/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T00:54:09.572Z"
    }
  },
  "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": "Ashish9122",
    "href": "https://github.com/ashish9122/data-analyst-agents",
    "sourceUrl": "https://github.com/ashish9122/data-analyst-agents",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T12:48:05.294Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-ashish9122-data-analyst-agents/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ashish9122-data-analyst-agents/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T12:48:05.294Z",
    "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-ashish9122-data-analyst-agents/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ashish9122-data-analyst-agents/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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