Clearbit API

Accepts an email address as input and returns enriched person data including social media profiles, contact information, and professional metadata by matching the email against proprietary and public web data sources. The system performs fuzzy matching and deduplication across multiple data sources to resolve a single email to a unified person record with aggregated social presence (LinkedIn, Twitter, GitHub, etc.) and professional attributes.

Accepts a company domain or company name and returns comprehensive company intelligence including firmographics (size, funding, industry, location), technographics (technology stack in use), employee counts, funding history, and corporate hierarchy relationships. The system crawls public web data, analyzes technology fingerprints from domain DNS/HTTP headers, and uses LLM processing to standardize unstructured company information into structured taxonomies (NAICS, GICS, SIC codes).

Accepts an IP address and returns the company associated with that IP, enabling identification of anonymous website visitors. The system performs IP geolocation and reverse DNS lookups, then matches the IP to known corporate IP ranges and ASNs to identify the visiting organization. Includes buying intent signals derived from behavioral data (unknown methodology).

Accepts job titles and role information and returns standardized role mappings and seniority level classifications using LLM-based normalization. The system processes unstructured job title text (e.g., 'VP of Biz Dev', 'Sr. Product Manager') and maps to standardized role taxonomies with associated seniority levels (C-suite, director, manager, individual contributor) for consistent lead qualification and routing.

Integrates with web forms to reduce friction by pre-populating known fields (company, name, email, etc.) based on visitor data from IP intelligence and email enrichment. The system detects form fields, matches them to enriched visitor data, and auto-fills values to reduce user friction and improve conversion rates. Includes dynamic field hiding/showing based on enriched company attributes.

Provides enriched company and person attributes (funding, employee count, technology stack, role, seniority) that can be used as inputs to lead scoring models to automatically qualify and rank leads. The system does not perform scoring directly but returns structured data designed for downstream scoring logic (e.g., 'is this a funded startup in the target industry using our competitor's tech?'). Scoring rules are implemented by the customer in their CRM or marketing automation platform.

Uses enriched company attributes (industry, size, funding, technology stack) to match prospects against a customer-defined Ideal Customer Profile and identify target accounts for account-based marketing. The system returns a match score or qualification status indicating how closely a prospect company aligns with ICP criteria (e.g., 'Series B-C funded SaaS companies in the HR tech space using Salesforce'). ICP definition and matching logic is customer-defined.

Integrates with major CRM and marketing automation platforms (HubSpot, Salesforce, Marketo, etc.) via native connectors or webhooks to automatically enrich contact and company records with Clearbit data. The system syncs enriched attributes (company size, funding, technology stack, person social profiles) to CRM fields on a scheduled or real-time basis, eliminating manual data entry and keeping enrichment data current.

Processes large lists of contacts or companies in batch mode, enriching multiple records in a single operation. The system accepts CSV or JSON files containing email addresses or domains, enriches each record against Clearbit's data sources, and returns enriched data in the same format. Batch processing is asynchronous and may take hours to complete depending on list size.