# ChatGPT Custom GPT Integrations

Connect ChatGPT to databases, APIs, and automation tools. Custom GPTs for finance, sports, report generation.

## Apps (10)

### ChatGPT connected to Supabase, Neon and Aiven databases for sports data
- App: https://chatgpt.com/g/g-68a6ef6973b881919c92458f5b369557-cricket-tour-de-france-data-explorer
- Docs: https://tigzig.com/app-documentation/cricket-tour-de-france-gpt.html
- AI Docs: https://tigzig.com/ai/apps/cricket-tour-de-france-gpt.md
- ChatGPT connected to Supabase, Neon and Aiven databases for sports data

### MF Portfolio Holdings Analyzer with Python pipeline
- App: https://chatgpt.com/g/g-68d684965d888191bf81f02022dd3591-india-mutual-funds-portfolio-holding-analytics
- Docs: https://tigzig.com/app-documentation/gpt-mf-holding-analyzer.html
- AI Docs: https://tigzig.com/ai/apps/gpt-mf-holding-analyzer.md
- MF Portfolio Holdings Analyzer with Python pipeline

### Process & analyze monthly MF portfolio Excel files
- App: https://chatgpt.com/g/g-b6a7uHe84-mutual-fund-portfolio-analyzer
- Docs: https://tigzig.com/app-documentation/mf-portfolio-analyzer.html
- AI Docs: https://tigzig.com/ai/apps/mf-portfolio-analyzer.md
- Process & analyze monthly MF portfolio Excel files

### Connect ChatGPT to n8n for automation, Python, Google Apps Script
- App: https://chatgpt.com/g/g-67d83a49b5c48191bab03bd45e8515ec-custom-gpt-n8n-automation
- Docs: https://tigzig.com/app-documentation/n8n-automation.html
- AI Docs: https://tigzig.com/ai/apps/n8n-automation.md
- Connect ChatGPT to n8n for automation, Python, Google Apps Script

### Custom GPT for Portfolio stats, Technical Analysis, Yahoo Finance
- App: https://chatgpt.com/g/g-680a0fba9cd481919073d474bee520fb-quantstats-and-technical-analysis
- Docs: https://tigzig.com/app-documentation/quantstats-portfolio-gpt.html
- AI Docs: https://tigzig.com/ai/apps/quantstats-portfolio-gpt.md
- Custom GPT for Portfolio stats, Technical Analysis, Yahoo Finance

### Update Excel/Sheets trackers, generate PDF reports and slides
- App: https://chatgpt.com/g/g-wbMHmk0Sz-gen-ai-apps-update-report-deck
- Docs: https://tigzig.com/app-documentation/report-generator.html
- AI Docs: https://tigzig.com/ai/apps/report-generator.md
- Update Excel/Sheets trackers, generate PDF reports and slides

### Connect ChatGPT to any MySQL & PG database
- App: https://chatgpt.com/g/g-6748a1c469648191a9a2253a46be82a3-rex-2-connect-to-any-database
- Docs: https://tigzig.com/app-documentation/rex2-gpt.html
- AI Docs: https://tigzig.com/ai/apps/rex2-gpt.md
- Connect ChatGPT to any MySQL & PG database

### Connect ChatGPT to Supabase (OLD)
- App: https://chatgpt.com/g/g-6785000cec888191985d29429888a373-supabase-connect
- Docs: https://tigzig.com/app-documentation/supabase-connect.html
- AI Docs: https://tigzig.com/ai/apps/supabase-connect.md
- Connect ChatGPT to Supabase (OLD)

### Technical analysis with Yahoo Finance, Finta, Gemini Vision (OLD)
- App: https://chat.openai.com/g/g-680a0fba9cd481919073d474bee520fb-technical-analysis-report
- Docs: https://tigzig.com/app-documentation/technical-analysis-gpt.html
- AI Docs: https://tigzig.com/ai/apps/technical-analysis-gpt.md
- Technical analysis with Yahoo Finance, Finta, Gemini Vision (OLD)

### Financial analysis and data retrieval from Yahoo Finance
- App: https://chatgpt.com/g/g-I8qaXJauP-get-equity-data-balance-sheet-p-l-cash-flow
- Docs: https://tigzig.com/app-documentation/yfin-bot.html
- AI Docs: https://tigzig.com/ai/apps/yfin-bot.md
- Financial analysis and data retrieval from Yahoo Finance

## Blog Posts (20)

- [ChatGPT connected to your databases. One-click deployment instructions for AI Coders](https://tigzig.com/post/chatgpt-connected-databases-ai-coder-deployment.html) — Tags: database-ai, custom-gpt, ai-coders
  Custom GPT connected to three live databases (Supabase, Neon, Aiven) for natural language querying of cricket and Tour de France data. Features a 'Copy for AI Coders' button that provides deployment instructions for Claude Code or Google Antigravity to handle end-to-end setup including backend, frontend, and database provisioning. FastAPI server sits between ChatGPT and databases.
  AI-readable: https://tigzig.com/ai/posts/chatgpt-connected-databases-ai-coder-deployment.md
- [Analyze Live Data | AWS-Azure DW | via Custom GPT & LLM Apps](https://tigzig.com/post/analyze-data-aws-azure-custom-gpt.html) — Tags: custom-gpt, database-ai
  Demonstrates connecting Custom GPTs and LLM apps to live AWS (RDS-MySQL) and Azure (MySQL) data warehouses for natural language querying. Covers data transformations, analysis, table operations, cross-warehouse operations, and ML model building. Uses FastAPI server as intermediary. Series includes upcoming guides on Flowise AI deployment, LLM cost-performance tradeoffs, and security considerations.
  AI-readable: https://tigzig.com/ai/posts/analyze-data-aws-azure-custom-gpt.md
- [Flowise is my goto platform for GenAI and LLM apps](https://tigzig.com/post/flowise-is-my-goto-platform-for-genai-llm-app-development.html) — Tags: database-ai, custom-gpt
  Overview of FlowiseAI as a preferred platform for GenAI and LLM app development. Highlights include integrated RAG with LangChain and LlamaIndex, 10-15+ vector database integrations (Pinecone, Vectara), Custom Tool for API calls, multi-LLM support including Groq and Gemini free tier, and Make.com/Zapier automation workflows. Open source, Y Combinator backed, 21K GitHub stars.
  AI-readable: https://tigzig.com/ai/posts/flowise-is-my-goto-platform-for-genai-llm-app-development.md
- [Connect ChatGPT to Multiple Remote Databases](https://tigzig.com/post/connect-chatgpt-to-multiple-databases.html) — Tags: custom-gpt, database-ai
  Architecture for connecting a Custom GPT to multiple remote Postgres databases (Supabase, Neon, Aiven) via FastAPI. Uses function calling with OpenAPI schema, YAML semantic layer for schema context, and routing rules. Demonstrated querying 2.5M rows across 340MB of cricket (ODI/T20) and Tour de France data spanning 122 years. Open source with full repo.
  AI-readable: https://tigzig.com/ai/posts/connect-chatgpt-to-multiple-databases.md
- [Automated Quant Reports with GPT: Run a stock, index, ETF, commodity, or crypto → get 3 formatted reports in minutes.](https://tigzig.com/post/automated-quant-reports-with-gpt-run-a-stock-index-etf-commodity-or-crypto-get-3-formatted-re.html) — Tags: portfolio-analytics, technical-analysis, custom-gpt
  Custom GPT generating three automated quantitative reports for any Yahoo Finance symbol: AI Technicals (daily/weekly charts with Gemini Flash analysis), Security Performance Report (CAGR, Sharpe, Sortino, drawdowns, monthly returns), and QuantStats (60+ KPIs, 10+ charts). All powered by open-source FastAPI-MCP backend servers. Outputs in PDF, HTML, and CSV.
  AI-readable: https://tigzig.com/ai/posts/automated-quant-reports-with-gpt-run-a-stock-index-etf-commodity-or-crypto-get-3-formatted-re.md
- [Cricket (ODI/T20) & Tour de France stats from a Custom GPT connected to 3 live databases.](https://tigzig.com/post/cricket-odi-t20-tour-de-france-stats-from-a-custom-gpt-connected-to-3-live-databases.html) — Tags: custom-gpt, database-ai
  Custom GPT connected to three live Postgres databases (Supabase, Neon, Aiven) for querying 2.5M rows of cricket ODI/T20 ball-by-ball data (2003-2025) and 122 years of Tour de France history. Dynamically routes queries to the correct database. Computes player stats, rankings, charts. Open-source FastAPI backend with OAuth support.
  AI-readable: https://tigzig.com/ai/posts/cricket-odi-t20-tour-de-france-stats-from-a-custom-gpt-connected-to-3-live-databases.md
- [TIGZIG Quants GPT: 30-Second Financial Analysis Custom GPT](https://tigzig.com/post/tigzig-quants-gpt-30-second-financial-analysis-custom-gpt.html) — Tags: custom-gpt, portfolio-analytics
  Custom GPT for 30-second cross-asset financial analysis comparing stocks, indices, commodities, and crypto. Generates daily returns charts, drawdown analysis, CAGR, Sharpe ratios, and CSV downloads. Available in three interfaces: Suite (fast, needs Yahoo symbols), Agent (smart assist), and ChatGPT (familiar interface, free users included). FastAPI-MCP backend.
  AI-readable: https://tigzig.com/ai/posts/tigzig-quants-gpt-30-second-financial-analysis-custom-gpt.md
- [ChatGPT Connected to integrated FastAPI-MCP Servers.. Technical Analysis (TA) report. From stocks to crypto.](https://tigzig.com/post/chatgpt-connected-fastapi-mcp-servers-technical-analysis-ta-report-stocks-crypto.html) — Tags: custom-gpt, mcp, technical-analysis
  Connecting ChatGPT to integrated FastAPI-MCP servers for generating technical analysis reports on stocks, crypto, and commodities via Yahoo Finance symbols. Backend uses FastAPI with MCP server (Tadata's FastAPI-MCP), serving multiple interfaces: n8n, Flask UI, Next.js, ChatGPT, and xlwings Lite. Outputs formatted PDF and web reports with Gemini Vision chart analysis. Includes OpenAPI schema setup for Custom GPT actions and public source code.
  AI-readable: https://tigzig.com/ai/posts/chatgpt-connected-fastapi-mcp-servers-technical-analysis-ta-report-stocks-crypto.md
- [AI-Powered Automation: Connect ChatGPT to n8n](https://tigzig.com/post/7d905dcc.html) — Tags: custom-gpt, database-ai
  Connecting ChatGPT to n8n workflows for automation including backend database updates (Postgres, Google Sheets), Python processing via FastAPI (markdown-to-PDF), Google Apps Script automation (formatted PDFs, slides, emails), dynamic database connections, and AI content enhancement. Setup uses Custom GPT with OpenAPI action schema connecting to n8n webhook endpoints. Includes n8n workflow JSON, FastAPI server repos, and video walkthrough.
  AI-readable: https://tigzig.com/ai/posts/7d905dcc.md
- [Connect ChatGPT to Supabase in 10 mins.](https://tigzig.com/post/connect-chatgpt-to-supabase-in-10-mins.html) — Tags: custom-gpt, database-ai
  Step-by-step guide to connect a Custom GPT to a Supabase PostgreSQL database in 10 minutes. Deploy a FastAPI server (SQL Alchemy) on Render, create a Custom GPT with OpenAPI action schema, and enable NL-to-SQL, charts, and Python statistical analysis through ChatGPT. Same process works for any PostgreSQL or MySQL database. Includes GitHub repo, video demo, and API key security setup.
  AI-readable: https://tigzig.com/ai/posts/connect-chatgpt-to-supabase-in-10-mins.md
- [Connect, Chat and Analyze Any Database with ChatGPTFast, Simple, and Powerful.](https://tigzig.com/post/connect-any-database-with-chatgpt.html) — Tags: custom-gpt, database-ai
  Guide to connecting ChatGPT to any MySQL or PostgreSQL database using REX-2's FastAPI backend and Custom GPT actions. Setup involves creating a GPT with ready-to-use instructions and JSON schema, then deploying FastAPI on Render. Enables NL-to-SQL, voice-to-SQL, data transformation, statistical analysis, and Python charts through ChatGPT or REX UI. Includes instant database creation via Neon and file upload capabilities.
  AI-readable: https://tigzig.com/ai/posts/connect-any-database-with-chatgpt.md
- [How to connect Custom GPT to live data warehouses. Implementation Guide](https://tigzig.com/post/connect-custom-gpt-to-live-data-warehouses-implementation-guide.html) — Tags: custom-gpt, database-ai
  Implementation guide for connecting Custom GPT to live data warehouses (AWS RDS MySQL and Azure MySQL simultaneously) using OpenAPI custom actions. Covers FastAPI SQL connector deployment on Render, JSON action schema generation for OpenAI, and security/monitoring considerations. Enables querying, transformation, analysis, and charting via text or voice (including Hindi/Hinglish). Includes Medium article, GitHub repo, and cost analysis.
  AI-readable: https://tigzig.com/ai/posts/connect-custom-gpt-to-live-data-warehouses-implementation-guide.md
- [VOICE MODE - Querying & Analyzing Data with Custom GPT AWS - Azure Data Warehouse](https://tigzig.com/post/voice-mode-query-analyze-database-aws-azure-custom-gpt.html) — Tags: voice-ai, custom-gpt, database-ai
  Demonstration of ChatGPT voice mode for querying and analyzing an Azure MySQL data warehouse via Custom GPT. Shows inserting conditional fields, creating distributions from calculated fields, generating charts, creating summary tables, merging datasets, and table operations via voice commands. Applications include senior leadership voice dashboards, ad-hoc query support, and rapid data transformations. Part 2 of the AWS/Azure data warehouse series.
  AI-readable: https://tigzig.com/ai/posts/voice-mode-query-analyze-database-aws-azure-custom-gpt.md
- [POWERBOTS : Supercharge Your Business with No-Code AI Chatbots. A Practical Guide](https://tigzig.com/post/powerbots-supercharge-your-business-with-no-code-ai-chatbots-a-practical-guide.html) — Tags: custom-gpt
  Comparison of four no-code AI chatbot platforms across categories: pure-play builders (Botsonic, Zapier), chatflow-based (Botpress), OpenAI Assistant wrappers, and LLM app platforms (Flowise). Evaluates pricing, quality, security, customization, RAG capabilities, and Zapier/Make.com automation integrations. Includes live prototype chatbots tested with Warren Buffett shareholder letter. Covers LLM cost analysis (GPT-4 vs 3.5 vs Gemini Pro) and deployment options.
  AI-readable: https://tigzig.com/ai/posts/powerbots-supercharge-your-business-with-no-code-ai-chatbots-a-practical-guide.md
- [How to use Llama Parse to convert PDF to text and extract complex table data. For Annual Reports, 10Ks, Research Reports](https://tigzig.com/post/llama-parse-pdf-analyze-with-chatgpt-rag.html) — Tags: converters-tools
  Guide to using LlamaParse by LlamaIndex for converting complex PDFs (annual reports, 10Ks, research reports) to text with accurate table extraction. Covers optimization tips: API calls faster than Python package, 50-page chunk size optimal for parsing speed, and chunking before parsing improves performance versus processing full files at once. Includes a live LlamaParse PDF-to-Markdown converter tool.
  AI-readable: https://tigzig.com/ai/posts/llama-parse-pdf-analyze-with-chatgpt-rag.md
- [Mutual Fund Allocation Analysis with GPT Power Tools. Custom GPT. Custom Python Code. Multiple Excels.](https://tigzig.com/post/mutual-fund-analysis-custom-gpt-python-multiple-excel.html) — Tags: mutual-funds, custom-gpt
  Custom GPT for tracking changes in mutual fund equity portfolio allocations across time periods by merging multiple Excel files (up to 10, each in different formats). Uses custom Python code within the GPT for consistent processing instead of ad-hoc approaches. Handles print-formatted Excel files with images. Includes validation summaries and pivot table output. Replicable for any Excel processing use case with minimal modification.
  AI-readable: https://tigzig.com/ai/posts/mutual-fund-analysis-custom-gpt-python-multiple-excel.md
- [Code Red: Unprotected GPTs & AI Apps exposed by simple hacks](https://tigzig.com/post/code-red-unprotected-gpts-ai-apps-exposed-by-simple-hacks.html) — Tags: security, custom-gpt
  Security analysis of prompt injection vulnerabilities in Custom GPTs and AI chatbots. Documents hacking techniques: magic prompts, brute force, social engineering, image-embedded injections, malicious URL attacks, and code interpreter exploits. Covers countermeasures: security instruction prompts, disabling code interpreter, ML-based prompt filtering, and third-party security services (Lakera). Discusses trade-offs between security and GPT performance degradation. References OWASP Top 10 for LLMs.
  AI-readable: https://tigzig.com/ai/posts/code-red-unprotected-gpts-ai-apps-exposed-by-simple-hacks.md
- [Building Machine Learning Models with ChatGPT - Part 2: Modeling Process Listing & EDA](https://tigzig.com/post/build-machine-learning-model-with-chatgpt-exploratory-data-analysis-eda.html) — Tags: custom-gpt, database-ai
  Part 2 of building ML models with ChatGPT: getting detailed modeling process documentation and exploratory data analysis (EDA). Shows how prompting ChatGPT to share process steps, results, plots, and distributions before model building produces comprehensive EDA output. Demonstrates that specific instructions yield specific outputs, with video walkthrough of the iterative prompt refinement process.
  AI-readable: https://tigzig.com/ai/posts/build-machine-learning-model-with-chatgpt-exploratory-data-analysis-eda.md
- [Mutual Fund Portfolio Analysis with ChatGPT: Merging and analyzing across multiple excel files](https://tigzig.com/post/fa18de05.html) — Tags: mutual-funds, custom-gpt
  Using ChatGPT to merge and analyze multiple mutual fund portfolio Excel files (print-formatted, varying formats, containing images) for tracking equity allocation changes over time. Demonstrates merging 12 files in 30 seconds with a single prompt, including handling different filename formats. Covers voice-typed prompt preparation via Google Docs, validation against totals, and option to generate reusable Python code for larger datasets.
  AI-readable: https://tigzig.com/ai/posts/fa18de05.md
- [Build Machine Learning Model with ChatGPT prompts: Random Forest example.](https://tigzig.com/post/build-machine-learning-model-chatgpt.html) — Tags: custom-gpt, database-ai
  Building a Random Forest propensity model entirely through ChatGPT prompts: data preprocessing, model building, validation, decile tables, feature importance, and scoring code generation. Covers tips for managing GPT limits (start with low complexity: 30 trees, depth 3), avoiding overfitting, using Google Colab T4 GPU for intensive tasks, and data security (anonymize PI data, use scrambled data). Includes five sequential base prompts for replication.
  AI-readable: https://tigzig.com/ai/posts/build-machine-learning-model-chatgpt.md

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