Connect People Data Labs to AI agents

Connect People Data Labs to Claude, Codex, Cursor, or other AI agents for your entire team. Metorial security, governance, observability, and gives your team a unified Magic MCP url to connect.

Supported Tools

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.

clean_location

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 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

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 People

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

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

Clean Company Name

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 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 IP Address

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 Companies

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 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 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

Clean School Name

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.

More integrations teams use with People Data Labs

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.

Hubspot

Create, read, update, and delete CRM objects including contacts, companies, deals, tickets, and custom objects. Manage associations between CRM records. Track engagements such as calls, emails, meetings, notes, and tasks. Send transactional and marketing emails, manage campaigns, and handle subscription preferences. Build and manage marketing workflows, sequences, and automation actions. Manage CMS content including blog posts, landing pages, and HubDB tables. Handle commerce data including products, orders, invoices, quotes, and payments. Create and manage contact lists for segmentation. Configure deal, ticket, and order pipelines with custom stages. Search and filter CRM records. Bulk import and export CRM data. Manage users, teams, and account settings. Subscribe to webhooks for real-time notifications on object creation, deletion, property changes, merges, and association changes.

Salesforce

Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Apolloio

Search and prospect B2B contacts and companies from a database of over 275 million people and 70 million organizations. Enrich people and company data with emails, phone numbers, and firmographic details. Create and manage contacts, accounts, deals, and tasks. Add contacts to email sequences and manage sequence statuses. Log and search call records. Perform bulk operations for contact creation, account creation, task creation, and data enrichment.

Airtable

Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.

Technical notes for People Data Labs

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.

Connect People Data Labs to production AI agents

See how Metorial gives People Data Labs access the governance, tracing, and security controls teams need.

Frequently asked questions

Common questions about connecting People Data Labs to AI agents with Metorial.

  1. Can Metorial connect People Data Labs to AI agents?
    Yes. Metorial connects AI agents to People Data Labs through a governed integration layer, so teams can use the provider while keeping access controlled and observable.
  2. Metorial is MCP compatible and lets teams expose approved provider tools to MCP-capable agents and clients through a controlled access layer.
  3. Metorial applies policies across users, groups, providers, agents, and individual tools, then records the context around every agent interaction.
  4. Yes. Metorial records provider activity so teams can inspect tool calls, troubleshoot integrations, and give security teams the visibility they need.