# IMSA Alpha Data (llms.txt)

This file describes the public IMSA Alpha dataset and AI-generated insights.

Base URL: https://sector4labs.com/imsa-alpha/data/
Dashboard: https://sector4labs.com/imsa-alpha/
Site llms.txt: https://sector4labs.com/llms.txt

## Directory Structure

Paths are organized as:

{year}/{event}/{series}/{session}/{class}/

Examples:
- 2026/Daytona_International_Speedway/IMSA_WeatherTech_SportsCar_Championship/Session_7/GTD/
- 2026/Daytona_International_Speedway/IMSA_Michelin_Pilot_Challenge/Practice_1/GS/

## Files

comparison.json
- Per-driver metrics used for Alpha Score comparison and ranking.

timeline.json
- Time-series / lap-by-lap session information when available.

insights_{session}_{class}.json
- AI-generated narrative + highlights for a session/class.

## Common Fields (insights_*.json)

- key_takeaway: A one-paragraph summary of the session.
- session_summary: A longer summary with more context.
- top_performers: Array of driver names.
- fastest_lap_analysis / optimal_lap_analysis: Narrative explanations.
- manufacturer_struggles: Structured notes by OEM.
- license_inversions: Stories where a lower license outperformed a higher license.

## Access Patterns

Get comparison for a session/class:
https://sector4labs.com/imsa-alpha/data/{year}/{event}/{series}/{session}/{class}/comparison.json

Get insights for a session/class:
https://sector4labs.com/imsa-alpha/data/{year}/{event}/{series}/{session}/{class}/insights_{session}_{class}.json

Get the data catalog:
https://sector4labs.com/imsa-alpha/data/manifest.md