Feature Requests

As of v25.2 (March 2024), PDL has ~3MM Instagram URLs and Usernames. Increasing coverage of Instagram profiles would be helpful for enrichment, but also knowing that when we report on who has engaged with an ad to Instagram, they are more easily identifiable than having to manually match back to our person records.

Information on investment funds, for example assets under management (AUM), capital deployed, current and past investments, performance, and other details.

Allow users to allocate credits and rate limit by API key and show metrics by API Key alongside at the account level

Today, PDL has a relatively small number of Instagram URLs associated with company profiles in the Profiles field. This request is to expand the coverage of this attribute, and to add this as a new top level field.

New company and/or person data delivery format(s) that include core information within a single or reduced number of tables. This would enable faster onboarding, easier querying, and reduced complexity compared to our existing tabular delivery formats.

Associate NPI numbers with person data. This enables us to search and locate a high value customer. https://npiregistry.cms.hhs.gov/search

The challenge currently is that a lot of company and industry categorization seems antiquated and non-specific. One example given by a user was a company like Stripe might be categorized as just a bank and thus miss out on the fact that they're primarily known as a Financial Technology Startup. Providing more detailed and modern signals about a company and its field would drive more insights on the people that work at them and their experience.

API to fetch counts of results for a boolean query. Similar to https://www.elastic.co/guide/en/elasticsearch/reference/current/search-count.html . Currently, we are setting page_size parameter to 1 and getting the count of results and further narrowing down/ filtering with more boolean queries. This way multiple stages of credit consumption and filtering costs can be reduced.

Today, PDL only adds stock ticker information in cases where there is strong, deterministic linkage to information that exists in public company filings (e.g., the website in the PDL company data matches the website in the company's 10-K annual filing). While this reduces the rate of false positive linkages and inaccurate tickerization, this Feature Request would be to expand the coverage through probabilistic entity resolution, additional sourcing, or other means.

Profiles with foreign language job titles are not being tagged with a role. For example: almost all of the untagged profiles from BNP Paribas employees are in French.