Project Benchmark Request: 2M Context Gemini API for Agentic Financial Modeling

Dear Google AI Developer Relations,

I am constructing an automated financial modeling system designed to convert raw annual reports, financial disclosures, and earnings call transcripts into dynamic, formula-driven Excel valuation models.

Why Gemini: Processing multi-year annual reports (often 200+ pages each) alongside multiple transcript PDFs requires massive, uninterrupted context windows. Gemini’s long-context processing capability makes it an ideal engine for the qualitative and extraction sub-agents in my multi-agent setup.

Request: I am applying for elevated API rate limits / developer credit allocations on Google AI Studio to run batch-testing on multi-year corporate filings and stress-test agentic parallel workflows.

Thank you for supporting independent developer research.

Respectfully,

Kasivi Sohan

Commerce & Finance Researcher, CA Aspirant