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InsightsPranjal Saxena

Pranjal Saxena

Financial APIs, Claude MCP, and AI-driven research workflows

Pranjal Saxena writes technical content focused on financial data APIs, Claude MCP workflows, AI-driven research systems, and Python-based market analysis. For FMP, his work centers on turning structured financial data into practical, workflow-driven content for developers, analysts, and fintech teams. He combines experience in data science, NLP, generative AI, and financial API workflows to show how APIs, automation, and AI-assisted systems can support modern financial research and analysis.

All Articles (73)

Data in Action

Evaluate Executive Transition Risk With Claude MCP

·Oct 08, 2026·14 min read
Data in Action

Assess SBC and Share-Count Trends Through Weighted-Average Shares and Repurchase Activity

·Oct 08, 2026·23 min read
Data in Action

Extract and Compare Disclosed Customer Concentration Across Annual Filings

·Oct 02, 2026·20 min read
Data in Action

Reconstruct an As-of-Date Fundamental Screen Using Filing Acceptance Dates

·Oct 02, 2026·23 min read
Data in Action

Evaluate Capex Efficiency Through Owner Earnings and Return Conversion

·Sep 19, 2026·20 min read
Data in Action

Detect Tax Rate Normalization Risk Through Multi-Year Effective Tax Analysis

·Sep 07, 2026·16 min read
Data in Action

Detect Product-Mix Concentration and Growth Dependency Across Reporting Periods

·Sep 07, 2026·15 min read
Data in Action

Create a Long-Term Compounder Screening Agent for Global Equity Research

·Sep 03, 2026·13 min read
Data in Action

Monitor M&A Deal Completion Risk Through Filing, News, and Price Updates

·Sep 03, 2026·22 min read
Data in Action

How to Screen Goodwill and Intangible Asset Concentration for Impairment Review

·Sep 03, 2026·19 min read