The profile
given and surname split out, and every mailing
address with the generic ones flagged. It has counts by kind for the whole market, the first and last deed, the
median hold and profit, and the price band. It also has the cities the investor works and the full
skip_trace_targets[].
Know two things before you render it:
string
A deed writes a name as SURNAME GIVEN (“RIVERA DANA”). Never split this yourself. Use the
given and
surname fields, which are already in the right order. Show the raw name when is_ambiguous is true.string
The name to print for the investor, since 0.29.0. For a person whose deed spelling parsed cleanly it is given name
first: “DANA RIVERA” from the deed spelling “RIVERA DANA”. For an entity, a trust, a public body or an ambiguous
spelling it equals
name. Keep name for matching and joining.object
The best guess for where this investor actually is: the most-used address that is not a title company or a
registered agent. For an individual it is usually their home.
The deal history
For the drawer’s Bought / Sold / Profit table:gross_profit, coordinates), so the same call also plots every
deal of the investor on a map. For only their deals near the subject property, filter the deals list instead:
After a data refresh
An old id goes one of two ways. Handle both:
For example
inv_003c1db2782c now answers with the profile of inv_8fc820cada96.