DebtStack.ai Python SDK
Corporate credit data for AI agents.
Why DebtStack?
Equity data is everywhere. Credit data isn't.
There's no "Yahoo Finance for bonds." Corporate debt structures, guarantor chains, and covenant details are buried in SEC filings—scattered across 10-Ks, 8-Ks, credit agreements, and indentures. An AI agent trying to answer "which telecom companies have leverage above 5x?" would need to read dozens of filings, extract the right numbers, and compute ratios manually.
DebtStack fixes this. We extract, normalize, and serve corporate credit data through an API built for AI agents.
Three Things You Can't Do Elsewhere
1. Cross-Company Credit Queries
# Find distressed telecom companies
GET /v1/companies?sector=Telecommunications&min_leverage=5&sort=-net_leverage_ratioScreen ~300 companies by leverage, coverage ratios, or maturity risk in one call. No filing-by-filing analysis.
2. Pre-Built Entity Relationships
# Who guarantees this bond?
POST /v1/entities/traverse
{"start": {"type": "bond", "id": "893830AK8"}, "relationships": ["guarantees"]}
