How should Stock-Analysis be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

Stock-Analysis answer-first brief

AI-powered stock research tool using CrewAI agents + LangChain + Llama-3 for real-time financial analysis and investment insights. 📈 Stock Analysis — AI-Powered Stock Research Tool An AI-driven stock research system powered by **CrewAI multi-agent orchestration**, **LangChain**, and **Llama 3.1** (via Ollama). The system deploys a crew of specialized AI agents that collaboratively perform financial analysis, research, SEC filings review, and investment recommendations for any given stock. --- 🚀 Features - **Multi-Agent Architecture** — A coord Capability contract not published. No trust telemetry is available yet. Last updated 5/18/2026.

Freshness

Last checked 5/18/2026

Best For

Stock-Analysis 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

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 66/100

Stock-Analysis

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

May 18, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/18/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 18, 2026

Vendor

Sahilbagoriya7688

Artifacts

Benchmarks

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Unpublished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 5/18/2026.

View Source

Setup snapshot

git clone https://github.com/sahilbagoriya7688/Stock-Analysis.git

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.

Verifiededitorial-content

Vendor (1)

Vendor

Sahilbagoriya7688

profilemedium

Observed May 18, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 18, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

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 OPENCLEW

Extracted files

Examples

Snippets

Languages

python

Executable Examples

text

Stock-Analysis/
├── stock_analysis/
│   ├── config/
│   │   ├── agents.yaml        # Agent role definitions and goals
│   │   └── tasks.yaml         # Task descriptions and expected outputs
│   ├── tools/
│   │   ├── calculator_tool.py # Custom calculator tool for financial math
│   │   └── sec_tools.py       # SEC 10-K and 10-Q retrieval tools
│   ├── crew.py                # CrewAI crew, agent, and task definitions
│   ├── main.py                # Entry point — run or train the crew
│   └── __init__.py
├── env.example                # Example environment variable configuration
├── pyproject.toml             # Project dependencies and scripts
└── README.md

bash

git clone https://github.com/sahilbagoriya7688/Stock-Analysis.git
cd Stock-Analysis

bash

pip install uv
uv sync

bash

pip install -e .

bash

ollama pull llama3.1

bash

cp env.example .env

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

📈 Stock Analysis — AI-Powered Stock Research Tool

An AI-driven stock research system powered by CrewAI multi-agent orchestration, LangChain, and Llama 3.1 (via Ollama). The system deploys a crew of specialized AI agents that collaboratively perform financial analysis, research, SEC filings review, and investment recommendations for any given stock.

🚀 Features

Multi-Agent Architecture — A coordinated crew of AI agents, each with a focused role: financial analyst, research analyst, and investment advisor.
SEC Filings Analysis — Automatically fetches and analyzes SEC 10-K (annual) and 10-Q (quarterly) filings using the SEC API.
Web Research — Agents scrape financial news, analyst reports, and market data in real time.
Investment Recommendations — The investment advisor agent synthesizes all findings into actionable buy/hold/sell recommendations.
Fully Local LLM — Runs on Llama 3.1 via Ollama — no OpenAI API required for inference.
Sequential Processing Pipeline — Tasks are executed in a structured, sequential workflow to ensure each agent builds on prior results.

🧠 Agent Crew

| Agent | Role | Tools | |---|---|---| | Financial Analyst | Analyzes financial statements, ratios, and SEC filings | ScrapeWebsite, WebsiteSearch, Calculator, SEC10K, SEC10Q | | Research Analyst | Gathers market intelligence, news, and industry data | ScrapeWebsite, SEC10K, SEC10Q | | Investment Advisor | Synthesizes research into investment recommendations | ScrapeWebsite, WebsiteSearch, Calculator |

🛠️ Tech Stack

CrewAI — Multi-agent orchestration framework
LangChain — LLM abstraction and tooling
Llama 3.1 (via Ollama) — Local large language model
SEC API — Access to SEC 10-K and 10-Q filings
Serper API — Google search for web research
Browserless — Headless browser for website scraping
Python 3.12 / 3.13 — Core language runtime
uv — Fast Python package manager

📁 Project Structure

Stock-Analysis/
├── stock_analysis/
│   ├── config/
│   │   ├── agents.yaml        # Agent role definitions and goals
│   │   └── tasks.yaml         # Task descriptions and expected outputs
│   ├── tools/
│   │   ├── calculator_tool.py # Custom calculator tool for financial math
│   │   └── sec_tools.py       # SEC 10-K and 10-Q retrieval tools
│   ├── crew.py                # CrewAI crew, agent, and task definitions
│   ├── main.py                # Entry point — run or train the crew
│   └── __init__.py
├── env.example                # Example environment variable configuration
├── pyproject.toml             # Project dependencies and scripts
└── README.md

⚙️ Prerequisites

Python 3.12 or 3.13
Ollama installed and running locally with the llama3.1 model pulled
API keys for Serper, Browserless, and SEC API (all have free tiers)

🔧 Installation

1. Clone the repository

git clone https://github.com/sahilbagoriya7688/Stock-Analysis.git
cd Stock-Analysis

2. Install dependencies using uv

pip install uv
uv sync

Or with standard pip:

pip install -e .

3. Pull the Llama 3.1 model via Ollama

ollama pull llama3.1

4. Configure environment variables

cp env.example .env

Then edit .env with your API keys:

SERPER_API_KEY=your_key_here        # https://serper.dev/ (free tier)
BROWSERLESS_API_KEY=your_key_here   # https://www.browserless.io/ (free tier)
SEC_API_API_KEY=your_key_here       # https://sec-api.io/ (free tier)
OPENAI_API_KEY=your_key_here        # Optional fallback

▶️ Usage

Run the stock analysis crew:

stock_analysis

Or directly via Python:

python -m stock_analysis.main

Train the crew:

train

🔄 How It Works

The crew runs in a sequential pipeline:

Research Task — The Research Analyst scrapes financial news, market data, and SEC filings to build a comprehensive research report.
Financial Analysis Task — The Financial Analyst digs into financial statements, computes key ratios, and evaluates performance using SEC 10-K/10-Q data.
Filings Analysis Task — A deep dive into SEC filings to identify risk factors, business changes, and management commentary.
Recommendation Task — The Investment Advisor synthesizes all prior outputs and delivers a final investment recommendation with supporting rationale.

🔑 API Keys

| Service | Purpose | Link | |---|---|---| | Serper API | Web search for research agents | serper.dev | | Browserless | Headless web scraping | browserless.io | | SEC API | Access to SEC 10-K & 10-Q filings | sec-api.io |

All three services offer free tiers sufficient for development and testing.

📄 License

This project is open source. Feel free to fork, extend, and adapt it for your own research needs.

🤝 Contributing

Pull requests are welcome! If you would like to add new agents, tools, or support for additional data sources (e.g., Yahoo Finance, earnings call transcripts), feel free to open an issue or submit a PR.

Built with CrewAI · LangChain · Llama 3.1 · SEC API

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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-sahilbagoriya7688-stock-analysis/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/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-sahilbagoriya7688-stock-analysis/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T01:08:43.190Z"
    }
  },
  "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": "Sahilbagoriya7688",
    "category": "vendor",
    "href": "https://github.com/sahilbagoriya7688/Stock-Analysis",
    "sourceUrl": "https://github.com/sahilbagoriya7688/Stock-Analysis",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-18T06:45:04.513Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-18T06:45:04.513Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-sahilbagoriya7688-stock-analysis/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

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,
    "metadata": {}
  }
]