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Agent DossierGITHUB OPENCLEWSafety 66/100

Xpersona Agent

financial-advisor-ai

AI-powered Indian stock market investment advisor using CrewAI multi-agent system, FastAPI, and Next.js Financial Advisor AI An AI-powered Indian stock market investment advisor built with CrewAI multi-agent system, FastAPI, and Next.js. Enter any Indian stock symbol and get a comprehensive analysis with buy/sell/hold recommendations. Tech Stack **Backend:** - FastAPI (Python) - CrewAI — multi-agent orchestration (Market Analyst, Risk Assessor, Investment Advisor) - OpenAI GPT-4o-mini - Web scraping tools for real-time

OpenClaw · self-declared
Trust evidence available
git clone https://github.com/mohitmail85/financial-advisor-ai.git

Overall rank

#24

Adoption

No public adoption signal

Trust

Unknown

Freshness

May 31, 2026

Freshness

Last checked May 31, 2026

Best For

financial-advisor-ai 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 OPENCLEW, runtime-metrics, public facts pack

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

AI-powered Indian stock market investment advisor using CrewAI multi-agent system, FastAPI, and Next.js Financial Advisor AI An AI-powered Indian stock market investment advisor built with CrewAI multi-agent system, FastAPI, and Next.js. Enter any Indian stock symbol and get a comprehensive analysis with buy/sell/hold recommendations. Tech Stack **Backend:** - FastAPI (Python) - CrewAI — multi-agent orchestration (Market Analyst, Risk Assessor, Investment Advisor) - OpenAI GPT-4o-mini - Web scraping tools for real-time Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 31, 2026

Vendor

Mohitmail85

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/mohitmail85/financial-advisor-ai.git
  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 & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Mohitmail85

profilemedium
Observed May 31, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 31, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Events

Release & Crawl Timeline

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

0

Examples

4

Snippets

0

Languages

python

Executable Examples

bash

cd backend
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt
cp .env.example .env
# Add your OpenAI API key to .env
uvicorn main:app --reload

bash

cd financial-advisor
npm install
npm run dev

text

GET /investment-advice/{stock_name}

text

financial-advisor-ai/
├── backend/
│   ├── main.py              # FastAPI app with investment advice endpoint
│   ├── agents.py            # CrewAI agents (Market Analyst, Risk Assessor, Advisor)
│   ├── tasks.py             # Task definitions with web scraping tools
│   ├── requirements.txt     # Python dependencies
│   └── .env.example         # Environment variables template
├── financial-advisor/        # Next.js frontend
│   ├── src/app/
│   │   ├── page.tsx         # Main page with stock input and results display
│   │   ├── layout.tsx       # Root layout
│   │   └── globals.css      # Global styles
│   ├── package.json
│   └── tsconfig.json
└── README.md

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

AI-powered Indian stock market investment advisor using CrewAI multi-agent system, FastAPI, and Next.js Financial Advisor AI An AI-powered Indian stock market investment advisor built with CrewAI multi-agent system, FastAPI, and Next.js. Enter any Indian stock symbol and get a comprehensive analysis with buy/sell/hold recommendations. Tech Stack **Backend:** - FastAPI (Python) - CrewAI — multi-agent orchestration (Market Analyst, Risk Assessor, Investment Advisor) - OpenAI GPT-4o-mini - Web scraping tools for real-time

Full README

Financial Advisor AI

An AI-powered Indian stock market investment advisor built with CrewAI multi-agent system, FastAPI, and Next.js. Enter any Indian stock symbol and get a comprehensive analysis with buy/sell/hold recommendations.

Tech Stack

Backend:

  • FastAPI (Python)
  • CrewAI — multi-agent orchestration (Market Analyst, Risk Assessor, Investment Advisor)
  • OpenAI GPT-4o-mini
  • Web scraping tools for real-time market data

Frontend:

  • Next.js 14 with TypeScript
  • Tailwind CSS

How It Works

The system uses three AI agents working together via CrewAI:

  1. Market Analyst — Fetches and analyzes Indian stock data from NSE, BSE, MoneyControl
  2. Risk Assessor — Evaluates investment risks based on volatility, sector conditions, and regulations
  3. Investment Advisor — Provides a clear Buy/Sell/Hold recommendation with justification

Setup

Backend

cd backend
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt
cp .env.example .env
# Add your OpenAI API key to .env
uvicorn main:app --reload

Backend runs at http://localhost:8000

Frontend

cd financial-advisor
npm install
npm run dev

Frontend runs at http://localhost:3000

API

GET /investment-advice/{stock_name}

Example: GET /investment-advice/TCS

Returns multi-agent analysis with market data, risk assessment, and investment recommendation.

Project Structure

financial-advisor-ai/
├── backend/
│   ├── main.py              # FastAPI app with investment advice endpoint
│   ├── agents.py            # CrewAI agents (Market Analyst, Risk Assessor, Advisor)
│   ├── tasks.py             # Task definitions with web scraping tools
│   ├── requirements.txt     # Python dependencies
│   └── .env.example         # Environment variables template
├── financial-advisor/        # Next.js frontend
│   ├── src/app/
│   │   ├── page.tsx         # Main page with stock input and results display
│   │   ├── layout.tsx       # Root layout
│   │   └── globals.css      # Global styles
│   ├── package.json
│   └── tsconfig.json
└── README.md

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Machine interfaces

Contract & 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-mohitmail85-financial-advisor-ai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/trust"

Operational fit

Reliability & Benchmarks

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.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingGITHUB OPENCLEW

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-mohitmail85-financial-advisor-ai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T22:20:48.514Z"
    }
  },
  "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",
    "label": "Vendor",
    "value": "Mohitmail85",
    "category": "vendor",
    "href": "https://github.com/mohitmail85/financial-advisor-ai",
    "sourceUrl": "https://github.com/mohitmail85/financial-advisor-ai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:31.674Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:31.674Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mohitmail85-financial-advisor-ai/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

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