token-efficient-analysis

What problem does it solve?

It solves the problem of producing analysis that is too verbose or that accidentally invents numbers or citations when working with limited or incomplete data.

Core Features & Use Cases

• Finding-first reporting: Prioritizes the main conclusion up front with tight structure (summary, then data, then caveats).
• Token-efficient formatting: Uses bullets and tables over long narrative to keep output concise and scannable.
• Citation-grounded accuracy: Prevents hallucinated statistics by requiring every number to be sourced or derived, and by clearly marking missing data and low-confidence inferences.
• Use cases: Data analysis summaries, research and literature-grounded reporting, financial and KPI reporting, and any workflow where accuracy and concision both matter.

Quick Start

Ask for a concise analysis of your dataset or report using only the provided evidence and clearly listing any missing data or uncertainties.