PeopleDataLabs provides B2B data enrichment and identity resolution, empowering organizations to build enriched user profiles and validate customer information
Provides autocompletion suggestions for a specific field (e.g., company, skill, title) based on partial text input.
Cleans and standardizes company information based on a name, website, or profile url; providing at least one of these inputs is highly recommended for meaningful results.
Cleans and standardizes a raw, unformatted location string into a structured representation, provided the input is a recognizable geographical place.
Performs a search for person profiles within people data labs using a custom elasticsearch domain specific language (dsl) query. this action allows for detailed and complex filtering based on various attributes of a person's profile, such as job title, skills, location, experience, and more. results can be paginated using the `size` and `scroll token` parameters. preconditions: - the `query` parameter must contain a valid elasticsearch dsl query string, structured as a json object. - if the `dataset` parameter is specified, it must be one of the allowed values: 'resume', 'email', 'phone', 'mobile phone', 'street address', 'consumer social', 'developer', 'all'. - note: this action queries the people data labs person search endpoint (`/v5/person/search`) and returns person records.
Converts natural language queries into structured pdl elasticsearch queries for people or company searches; generates optimized query structure without executing the search.
Retrieves predefined enum values for a column name from `enum mappings.json`; `is enum` in the response will be false if the column is not found or is not an enum type.