LoanStreet Inc.

LoanStreet Inc. — Loan-level performance and origination-attribute panel collected monthly from a network of 1,300+ credit unions, banks and alternative lenders across the US, Canada and Europe, sitting under a loan-participation marketplace and servicing platform. The reporting specification fixes the ingested schema: a monthly payments file with full waterfall decomposition (interest, principal, late fees, transaction-coded), a monthly balances file with final loan standing at period end, and a loan-data file carrying underwriting attributes - origination date, credit score, DTI, LTV, vehic…

LoanStreet Inc. offers (Alternative, Fundamental, Reference) — Monthly payment, balance and loan-attribute records for every participated or serviced loan across 1,300+ institutions; even at conservative per-institution loan counts this implies hundreds of millions of loan-month observations across the archive, with the three-file structure multiplying fields per loan per period. The exact universe is unpublished and is the first item to size in discovery..

Credit model training and validation on a cross-lender panel where origination attributes and realised outcomes are joined at loan level, which no single lender, bureau or public dataset provides; thin-file and second-credit market underwriting research, given credit unions and alternative lenders dominate the network; indirect-auto and dealer-channel analysis using LTV, vehicle attributes and dealer reserves; small-business and specialty lending loss-given-default and prepayment modelling; loan-pool valuation and securitisation pricing informed by observed participation clearing rather than model marks; fair-lending and adverse-impact testing across a diverse lender population; and a ground-truth set for training agent-driven underwriting or loan-pricing tools on real outcomes.

The data is with 10 years of history.

Coverage spans US; Consumer Finance, Financial Exchanges & Data, Application Software; alternative, fundamental, reference; fixed_income, structured_products.