Person search API

Product Introduction

1. The Person Search API is a programmatic interface that enables targeted searches across comprehensive people data from public web sources, social networks, and professional platforms. It provides structured information about individuals using 60+ combinable filters to meet specific business requirements. The API delivers real-time and historical data to support AI-driven workflows, sales automation, and recruitment processes.
2. Its core value lies in enabling precise identification of individuals based on dynamic criteria such as job changes, company affiliations, funding activities, and professional milestones. The API serves as a foundational data layer for applications requiring accurate, up-to-date people intelligence at scale.

Main Features

1. The API offers 60+ granular filters including job title hierarchies, company growth metrics, funding history, and geographic parameters, which can be combined using logical operators (AND/OR/NOT) for surgical precision. Filters support numerical ranges (>50 employees), temporal conditions (<30 days since promotion), and categorical selections (specific industries or technologies).
2. Real-time Watcher API functionality triggers instant alerts when monitored individuals change roles, receive promotions, or update professional profiles, with event timestamps accurate to 5-minute intervals. This feature uses webhook integrations to push updates directly to client systems without polling.
3. Native AI integration provides pre-structured data outputs optimized for machine learning models, including normalized job titles, standardized company hierarchies, and temporal event sequences. The API supports bulk processing of 100,000+ records per minute through asynchronous endpoints with compression-enabled payloads.

Problems Solved

1. The API eliminates manual data aggregation from fragmented sources like LinkedIn, corporate websites, and SEC filings by providing unified, verified profiles updated through automated web crawling and NLP verification. It resolves data staleness through continuous monitoring of 800+ professional signal types across 1 billion global profiles.
2. Primary users include enterprise sales teams building lead lists, recruitment platforms tracking candidate movements, investment analysts monitoring founder activities, and AI developers training relationship mapping algorithms. Compliance teams use it for real-time KYC profile validation.
3. Typical scenarios involve identifying C-suite executives at Series B+ startups in specific regions, tracking engineers who recently left FAANG companies, or finding sales professionals with cybersecurity certifications who changed jobs within the last 90 days.

Unique Advantages

1. Unlike competitors like PeopleDataLabs or Clearbit, this API combines real-time employment verification with historical career path visualization, showing not just current roles but full trajectory mapping with company linkage analysis. Data freshness is maintained through 18 proprietary web crawlers updating profiles every 24-72 hours.
2. The platform uniquely correlates people data with company signals—for example, alerting users when a target executive’s organization secures funding or expands to new markets. Advanced filters enable searching by technical stack involvement (e.g., "worked with PyTorch in Q3 2023") through patent-pending skill extraction models.
3. Competitive differentiation comes from zero-rate-limit enterprise tiers, SOC 2-compliant data handling, and deterministic employment verification using multi-source cross-validation. The API achieves 98.7% profile completeness compared to industry averages of 82-89%.

Frequently Asked Questions (FAQ)

1. How frequently is the people data updated? The API refreshes profiles every 24-72 hours through automated monitoring of 120+ data sources, with critical signals like job changes detected within 5 minutes via the Watcher API. Historical data archives go back 10+ years for career path analysis.
2. Can filters be combined for complex queries? Yes, users can apply nested Boolean logic across all 60+ filters—for example, finding "(Data Scientists OR ML Engineers) in California who left Google within 6 months AND joined startups that raised >$5M." Query responses include match rationale scoring.
3. What sources power the people data? The system aggregates and cross-validates data from professional networks (LinkedIn, GitHub), news publications, SEC filings, conference speaker lists, and corporate leadership pages. All sources comply with GDPR and CCPA regulations through explicit content licensing agreements.
4. Does it integrate with existing CRM or ATS systems? The API provides pre-built connectors for Salesforce, HubSpot, Greenhouse, and 30+ other platforms, along with webhook support for custom integrations. Enrichment endpoints accept CSV/JSON inputs for batch processing with field-level match confidence scores.
5. How does it handle data privacy compliance? All profiles exclude sensitive personal information (SSN, contact details) and focus on professional metadata. The system automatically filters out profiles under GDPR right-to-be-forgotten requests and provides audit trails for compliance reporting.