Company Dataset

Product Introduction

1. The Company Dataset by Crustdata is a comprehensive business intelligence resource containing billions of structured datapoints across 60 million companies and 1 billion people profiles. It provides standardized company financials, employee growth metrics, funding history, leadership changes, and real-time signals like job postings or social media activity. The dataset is delivered via API or bulk exports (CSV/SQL) and refreshed monthly to ensure accuracy.

2. Its core value lies in enabling AI-driven workflows and operational systems with actionable, machine-readable company data. The dataset serves as a foundational layer for building sales automation tools, CRM enrichment pipelines, recruiting platforms, or investment screening systems without manual data scraping or aggregation.

Main Features

1. Real-time Watcher API tracks executive promotions, funding rounds, and hiring signals within 5 minutes of public disclosure, with webhook integration for instant alerts. This includes LinkedIn profile updates, job board postings, and SEC filing triggers.

2. Bulk company profiles include 120+ attributes such as headcount growth rates, quarterly revenue estimates, tech stack fingerprints, and employee review sentiment scores. Data is linked to standardized identifiers (LEI, LinkedIn URL, domain) for cross-referencing with internal databases.

3. Dynamic filtering enables complex queries like "US-based SaaS companies with 50-200 employees that raised $5M+ in 2023" through SQL-like syntax or REST API parameters. Results include nested employee hierarchies and historical funding timelines for cohort analysis.

Problems Solved

1. Eliminates manual research for sales teams by providing pre-verified company contact lists with technographic filters and buying intent signals like recent funding events. Reduces lead list creation from days to minutes.

2. Serves AI/ML developers building autonomous sales agents or recruitment bots that require structured company hierarchies, real-time leadership change alerts, and employee skill mapping. Provides training data for predictive churn models.

3. Addresses data decay in CRMs through monthly CSV updates with reconciliation keys, automatically flagging outdated employee roles or company metrics. Maintains 98% email deliverability rates through verified work email addresses.

Unique Advantages

1. Combines bulk historical data (5-year company timelines) with real-time API signals, unlike competitors offering only static datasets or delayed updates. Enables both batch processing and event-driven workflows.

2. Proprietary entity resolution algorithms map fragmented web data (Crunchbase, LinkedIn, news) to unified company records, resolving conflicts between sources through weighted confidence scoring.

3. Offers 50% higher coverage of sub-100 employee startups compared to alternatives, with specialized tracking of AI/tech firms through patent filings and GitHub activity signals. Includes non-English company data with machine-translated metadata.

Frequently Asked Questions (FAQ)

1. How frequently is the company headcount data updated? Headcount figures are recalculated monthly using LinkedIn follower growth patterns, job postings analysis, and web traffic correlation models, with quarterly manual audits for enterprise accounts.

2. Can the dataset integrate with existing Salesforce workflows? Yes, the API supports OAuth 2.0 authentication and returns data in Salesforce-native JSON format, while CSV files include Salesforce ID mapping columns for easy DataLoader imports.

3. What sources power the funding round information? The system aggregates data from 23 verified registries including SEC EDGAR, Crunchbase Pro, and European Venture Reports, cross-referenced with executive LinkedIn announcements and news monitoring.

4. How are employee email addresses verified? Work emails are confirmed through SMTP checks and domain validation, with a 72-hour revalidation cycle for bounced addresses. Personal emails are excluded for GDPR/CCPA compliance.

5. What retention policies apply to historical data? Full historical snapshots are retained for 7 years, enabling time-series analysis of metrics like quarterly revenue growth or employee turnover rates across economic cycles.