search_credit_stress

io.github.Capital-W-Holdings/us-property-parcel-real-estate-debt · Verify this server

Credit stress on the BDC tape, counted over every event: NON_ACCRUAL_PLACED and RETURNED_TO_ACCRUAL (from each BDC's schedule of investments footnotes), PIK_ADDED and PIK_INCREASED (from the PIK rate each BDC tags). group='bdc' compares the latest quarter end with the one before for every BDC (events, change, borrowers, and each type), sort='change' for 'which BDCs increased non-accruals last quarter'. group='period' is the quarterly series ('is non-accrual rising'). group='borrower' lists the borrowers behind the events with the BDCs and the sponsor where the chain has one. Each event is one BDC and one borrower, per the BDC's own filing. For the individual dated events use search_private_credit_changes(event_type=...). ACCESS: without a paid DFX plan on the vertical, a list returns its first 5 rows in full and a count of the rest by type (locked.count, locked.by_type), never the rows; a record names its subject and the first 3 related names per section; contact values (email, phone, profile URLs) and decision-maker names are never returned, only their types and counts. Every answer says what it withheld in `entitlement` and `locked`. Full access: DFX Intelligence, 3 days for $1 at https://dfxintel.com/data-factory/plans.