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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 (79)

Data in Action

Reconcile TTM Revenue and Operating Cash Flow With Quarterly Statements Using Claude MCP

·Oct 27, 2026·14 min read
Data in Action

Check Whether EPS Estimates and Actuals Are Comparable With Claude and FMP

·Oct 26, 2026·20 min read
Data in Action

Detect Filing Timeliness Deterioration With Claude and FMP MCP

·Oct 21, 2026·21 min read
Data in Action

Compare R&D Expense With Revenue and Gross-Profit Trends Using Claude and FMP

·Oct 21, 2026·20 min read
Data in Action

Check Management Cost Claims Against Reported Results With Claude and FMP

·Oct 19, 2026·13 min read
Data in Action

Estimate Biotech Cash Runway Through Cash Balance, Operating Burn, and Financing Activity

·Oct 19, 2026·13 min read
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