rank_sponsor_capital

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

The capital parties named on announced independent sponsor transactions, aggregated. group=provider ranks lenders and equity providers by distinct deals and distinct sponsors financed, with how many sponsors they financed more than once, their roles, verticals and first and last deal. group=pair lists sponsor and provider pairs that repeat (min_deals, default 2) with the targets. group=deal returns the deal rows. role_class=debt keeps lenders, senior, mezzanine, unitranche and subordinated debt; equity keeps equity and co-invest. EBITDA filters use the TARGET's estimated EBITDA band (employees and sector ratios, confidence 0.45 to 0.55; no deal states EBITDA) and the answer says how many deals could not be sized. The answer to 'which capital providers are most active in independent sponsor deals', 'who lends to IS deals of $10M to $50M EBITDA' and 'which sponsors and lenders work together repeatedly'. DEALS LIKE ONE DEAL: give deal_sponsor and deal_company ("which lenders financed deals similar to Glen Oaks Capital's acquisition of StanChem Resins") and the deal itself is resolved, then providers on OTHER sponsors' deals in that deal's vertical since `since` (default 730 days ago) are ranked by distinct sponsors backed, each marked if it already backs this sponsor; the same comparable set the capital map letters use. A company that matches none of the sponsor's deals is DEAL_NOT_FOUND with the sponsor's deals listed, never a guessed sector. Returns dfx:isi: ids. 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.