CapScribe — Capital Event Intelligence

Structured capital event extraction from DRHP/IPO filings using Claude AI.

CapScribe parses dense regulatory PDF documents (DRHPs, IPO prospectuses) and extracts structured capital event data — allotments, bonus issues, rights issues, and authorised capital changes — into clean, machine-readable JSON. Built for analysts, quant researchers, and fintech pipelines that need reliable signal from unstructured filings.

Demo

Semantic Search

Natural language query matching across capital event types — no keyword syntax required.

Ask the Filing — LLM Mode

Structured investor intelligence synthesised from raw DRHP events via Claude.

What it extracts

Event Type	Fields Captured
Allotments	Date, shares, face value, issue price, consideration, allottee category
Bonus Issues	Date, ratio, pre/post share count
Rights Issues	Date, ratio, price, record date
Authorised Capital Changes	Date, from/to amount, resolution type

Architecture

• Extraction — PDF parser producing structured JSON events per schema.py
• Retrieval — ChromaDB vector store with all-MiniLM-L6-v2 embeddings
• Agent — LangGraph ReAct loop over search_events / get_event_detail tools
• API — FastAPI service (/health, /stats, /search, /ask)
• Frontend — Financial terminal UI (dark theme, semantic search, extractive + LLM QA)

Evaluation (sample DRHP)

Metric	Score
Precision	1.000
Recall	0.857
F1	0.923

Quickstart

cp .env.example .env          # add ANTHROPIC_API_KEY
pip install -r requirements-api.txt
uvicorn api:app --reload
# open http://localhost:8000

Tests

pytest -q   # 15 passed

Eval Harness

python evaluate.py fixtures/sample_events.json fixtures/gold_events.json

License

MIT