enrich_job_title
Enrich Job Title
Enrich and standardize a job title string. Returns the cleaned job title along with its role, sub-role, and seniority levels. Useful for normalizing job titles across different data sources.
enrich_job_title
Enrich and standardize a job title string. Returns the cleaned job title along with its role, sub-role, and seniority levels. Useful for normalizing job titles across different data sources.
clean_location
Standardize a raw location string into structured, canonical location data using PDL's data cleansing API. Returns parsed and normalized location components. Useful for normalizing location data before using it in enrichment or search queries.
enrich_skill
Enrich and standardize a skill string by matching it against the PDL Skill Dataset. Returns the cleaned skill name. Useful for normalizing skills across different data sources.
identify_person
Retrieve multiple potential person matches ranked by confidence score. Use broad search inputs to find candidates when you have partial or ambiguous information about an individual. Returns up to 20 matching profiles sorted by match strength, useful for building comprehensive profiles from limited data.
search_person
Search and filter the full Person Dataset of nearly three billion profiles using SQL or Elasticsearch query syntax. Useful for finding groups of people matching specific criteria such as job title, company, location, skills, or education. Returns matching person records with pagination support.
autocomplete
Get suggestions for search query field values along with the number of available records for each suggestion. Useful for building type-ahead search interfaces or discovering available values for a given field. Supports fields like company, school, title, region, country, skill, major, and more.
clean_company
Standardize a raw company name string using PDL's data cleansing API. Returns the cleaned, canonical company name along with identifiers. Useful for normalizing company names before using them in enrichment or search queries.
retrieve_person
Retrieve a specific person record using a unique PDL Person ID. PDL IDs are permanent identifiers for each record in the dataset, allowing direct retrieval of a known person's data.
enrich_ip
Enrich data on an IP address by matching against nearly 2 billion IPs. Returns associated location, company, and metadata information. Supports both IPv4 and IPv6 formats.
search_company
Search and filter the full Company Dataset using SQL or Elasticsearch query syntax. Useful for finding companies matching specific criteria such as industry, size, location, or funding stage. Returns matching company records with pagination support.
enrich_company
Enrich data on a company by matching against the company dataset. Provide a company name, website, LinkedIn URL, or ticker symbol to find a matching company profile. Returns comprehensive company information including size, industry, location, funding, and employee insights.
enrich_person
Enrich data on a person by matching against nearly three billion profiles. Provide identifying information such as name, email, phone, social profile URL, company, school, or location to find a matching profile. Returns comprehensive person data including employment history, education, social profiles, skills, and contact information.
clean_school
Standardize a raw school name string using PDL's data cleansing API. Returns the cleaned, canonical school name along with identifiers. Useful for normalizing school names before using them in enrichment or search queries.
Enrich, search, and identify person and company records using attributes like name, email, phone, employment, education, and social profiles. Enrich IP addresses to retrieve associated company and location data. Search and filter person and company datasets using SQL or Elasticsearch queries. Identify and rank matching person profiles from partial or ambiguous inputs. Retrieve specific records by unique PDL ID. Standardize and clean company, location, and school data strings. Enrich job titles and skills with standardized information. Autocomplete search query values with record counts.
Common questions about connecting People Data Labs to AI agents with Metorial.