Clearbit API

Accepts an email address as input and returns enriched person data including social profiles, contact information, and professional attributes. The system performs real-time lookups against Clearbit's proprietary database of person records, matching email addresses to aggregated profile data from public sources and third-party integrations. Returns structured JSON containing verified contact details, social media handles, job titles, and employment history.

Accepts a company domain (e.g., acme.com) or company identifier and returns comprehensive firmographic and technographic data including employee count, funding history, industry classification, technology stack, and corporate hierarchy. The system queries Clearbit's company database which aggregates data from SEC filings, job boards, technology tracking services, and web crawling to build a unified company profile. Returns structured JSON with 50+ company attributes including NAICS/GICS/SIC codes, parent/subsidiary relationships, and detected technology vendors.

Provides estimated employee counts for companies based on aggregated data from job boards, LinkedIn, company filings, and web sources. The system analyzes hiring patterns, job postings, LinkedIn employee counts, and SEC filings to estimate current headcount and historical growth trends. Returns estimated employee count ranges (e.g., '100-500 employees') with confidence scores and data freshness indicators. Enables company size-based targeting and analysis of hiring trends.

Sends real-time webhook notifications when enrichment data changes or new data becomes available for monitored companies. The system tracks changes to company data (funding announcements, technology stack changes, employee count updates, executive changes) and delivers webhook payloads to a configured endpoint when changes are detected. Enables reactive workflows such as triggering sales outreach when a target company raises funding or changes technology stack. Webhook payloads include the changed data, change type, and timestamp.

Provides native integrations with popular CRM and marketing automation platforms (Salesforce, HubSpot, Marketo, Pipedrive) that automatically enrich contact and company records without requiring custom API development. The system uses OAuth-based authentication to connect to CRM/marketing automation accounts, then automatically enriches records as they are created or updated. Enriched data is written back to custom fields in the CRM, enabling sales and marketing teams to access enrichment data directly in their workflow tools. Integrations support both real-time enrichment (on record creation) and batch enrichment (of historical records).

Accepts an IP address (typically from website visitor tracking) and returns the company associated with that IP, enabling real-time identification of which organizations are visiting your website. The system performs IP geolocation and reverse DNS lookups against a database of corporate IP ranges and ASN mappings to identify the originating company. Returns company name, industry, employee count, and other firmographic attributes for identified visitors. Integrates with website tracking via JavaScript snippet to capture visitor IP and enrich in real-time.

Evaluates incoming leads against a customizable Ideal Customer Profile (ICP) in real-time, assigning a score and routing recommendation based on company fit and person-level attributes. The system combines enriched company data (size, industry, technology stack, funding) with person attributes (job title, seniority, department) and applies rule-based or ML-based scoring logic to determine lead quality. Scores are returned as numeric values (0-100) with routing recommendations (e.g., 'route to sales', 'nurture in marketing', 'disqualify'). Integrates with CRM and marketing automation platforms via API or webhook.

Automatically reduces form fields on web pages based on pre-enriched company and person data, improving conversion rates by eliminating redundant questions. When a visitor lands on a form, Clearbit's JavaScript snippet identifies the company (via IP) and/or person (via email if provided), then queries the enrichment API to retrieve known attributes (company name, size, industry, job title, etc.). The form dynamically hides fields that are already known and pre-fills others, reducing form friction. Integrates with popular form builders (HubSpot, Marketo, Unbounce) via native plugins or custom JavaScript.

Processes large lists of company domains or identifiers in batch mode, returning enriched company data for all records in a single request or asynchronous job. The system accepts CSV, JSON, or API batch uploads containing company domains or names, queues them for processing, and returns results via download link or webhook callback. Batch processing enables cost-effective enrichment of thousands of records without hitting real-time API rate limits. Results are returned in the same format as single-record enrichment, with additional fields indicating match confidence and data freshness.

Identifies and catalogs the technology vendors and tools used by a company, including SaaS platforms, infrastructure services, programming languages, and development frameworks. The system uses web crawling, DNS analysis, job posting analysis, and technology fingerprinting (similar to BuiltWith) to detect technologies deployed on company websites and inferred from hiring patterns. Returns a structured list of detected technologies with vendor names, categories (e.g., 'CRM', 'Analytics', 'Infrastructure'), and confidence scores. Enables targeting of companies based on technology adoption (e.g., 'companies using Salesforce and Slack').

Returns company funding history, including funding rounds, amounts, investors, and valuation estimates. The system aggregates data from SEC filings, Crunchbase, PitchBook, and other financial data sources to build a comprehensive funding timeline. Returns structured data including Series A/B/C round details, investor names, funding amounts, and estimated company valuation. Enables targeting of companies at specific funding stages (e.g., 'Series B companies in the fintech space') for sales and partnership outreach.

Identifies parent companies, subsidiaries, and corporate relationships for a given company, enabling understanding of complex organizational structures. The system uses SEC filings, business registration databases, and web crawling to map corporate hierarchies and identify ownership relationships. Returns structured data including parent company name/domain, subsidiary list, acquisition history, and ownership percentages. Enables routing of deals to the correct legal entity and understanding of decision-making authority within corporate groups.

Assigns standardized industry classifications to companies using multiple taxonomies including NAICS (North American Industry Classification System), GICS (Global Industry Classification Standard), and SIC (Standard Industrial Classification) codes. The system analyzes company descriptions, business activities, and revenue sources to determine the most appropriate industry classification. Returns structured data with primary and secondary industry codes, enabling consistent industry-based segmentation and analysis across datasets.