Split num_sources split into public_num_sources and private_num_sources. Why? Resume data, for example, from public sources is frequently the most current, but also can include bot generated data. A profile with private sources increases confidence of a real/human profile, but can be out of date. A score that shows the difference can help folks determine what profiles are bot generated/edited. This does not mean a public profile is bad, but private sourced profiles can be anchor profiles in an entity resolution strategy.

It would be great to enrich person api with their credit score

There seems to be a population of fake profiles, with non-human names, present in the Person dataset. Filtering out these profiles provide a cleaner data set and will simplify post processing in Person search.

Company identifiers from FactSet, S&P/CapIQ, Bloomberg, etc in the company records to allow for easier joining to financial datasets.

Increase the cadence and volume of core company firmographic data updates

Setting a webhook_flag : True parameter would allow users to track which profiles they care to refresh as a part of the webhook workflow.

The current workflow to search for profiles by NAICS code requires a user to first search for and store a company id using the Company Search API and then pass that to a Person Search API using job_company_id . Adding a NAICS field to the person schema would allow users to search for a segment of profiles based on a NAICS code without having to first search against the Company Search API.

Expanded data to show details behind corporate entity relationships (e.g., relationship type, date of acquisition, etc)

It would be valuable for users to be able to zoom into API usage trends with more granularity. Currently we can only narrow down to month, it'd be helpful to narrow down to the day. This would help users understand the usage trends better and how/where they should focus energy with their end users.

Using nested queries can help uncover which individuals are a particular job role at a company during a particular time range.