code-execution-models

A code sandbox can generate quantitative financial analyses by referencing a catalog of 45 predefined financial models that standardize inputs and dispatch subagents to produce structured JSON results, PNG charts, and formatted tables.

The catalog provides 45 PE, IB, and M&A analysis types across 12 categories, covering tasks like LBO modeling and M&A analysis, dispatched by finance subagents for structured quantitative outputs and visualizations.

To add a new financial model, create a catalog entry following the established schema by defining required metadata fields including id, name, category, task, description, methodology, outputFormat, and dataFields, then update the input example accordingly.

Yes, code-execution financial models guide the sandbox in automatically generating structured JSON results and PNG charts by defining metadata, validation checks, and output formats that support rapid model deployment.

Sandbox financial models support structured JSON results, PNG charts, and formatted tables as output formats, driven by metadata that defines outputFormat fields and integrates with agent dispatch workflows for finance subagents.

Yes, adding quantitative analysis models requires defining input fields, methodology, and categorization within the required metadata fields, ensuring the system can validate checks and generate correct code and visualizations.