Explorium vs Crunchbase vs People Data Labs

Objective, side-by-side analysis of Explorium, Crunchbase, and People Data Labs to help you evaluate features, pricing, and performance and find the perfect fit for your data needs.

Explorium

4.8

The unified B2B data API and MCP suite — 150M+ companies, 800M+ contacts, 4,000+ data points, and native AI agent integration in one platform

  • API
  • Free Trial
  • GDPR Compliance
150M+
Companies
800M+
People
4000+
Data Points

Selected Customers

Clay • Common Room • Cognism • Outreach • Bombora • Monday.com • Artisan

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Crunchbase

4.4

The definitive source for private company intelligence, combining crowd-sourced data, AI-powered analysis, and real-time funding signals

  • API
  • Free Trial
  • GDPR Compliance

Selected Customers

Salesforce • HubSpot users • Databricks • Perplexity Enterprise

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People Data Labs

4.6

The API-first B2B data infrastructure layer — purpose-built for engineers who need 1.5B+ person profiles and 71M+ company profiles accessible via flexible, high-performance APIs with transparent usage-based pricing

  • API
  • Free Trial
  • GDPR Compliance
71M+
Companies
1.5B+
People
50+
Data Points

Selected Customers

LinkedIn • Snowflake • Databricks • HubSpot • Outreach • Workato • Clearbit (acquired by HubSpot) • Clay • Lusha • Various AI/ML startups

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Primary Use Cases

Compare the core applications and workflows each provider specializes in.

Explorium

  • GTM Agents

    Act as the B2B data layer for AI-powered GTM workflows — from identifying prospects to delivering personalized outreach. Supports MCP-native access via Claude and other AI agents.

  • ABM Targeting

    Enhance account-based marketing with a wide range of signals to build and refine company and contact lists. Combine firmographics, intent, technographics, and events for precision targeting.

  • AI Recruiting

    Build recruiting automation systems on top of a premium B2B data layer. Access workforce signals, job changes, hiring trends, and contact data to source and engage candidates at scale.

Signals powering these use cases

  • Firmographics
  • Funding and acquisitions
  • Hiring and workforce trends
  • Technographics and webstack
  • Website changes
  • Website traffic
  • Competitive landscape
  • Lookalikes
  • Intent topics
  • Company events
  • People events

Crunchbase

  • Market & Competitive Research

    Explore company and industry trends with advanced search filters, AI-powered analysis, and a comprehensive database of private companies, investors, and funding activity worldwide.

  • Sales Prospecting

    Identify high-priority target accounts using funding triggers, leadership changes, and growth signals, then push verified company and contact data directly into Salesforce or HubSpot for immediate outreach.

  • Investment Intelligence

    Track investor portfolios, monitor sector funding trends, and access AI-powered predictions on which private companies are most likely to raise, acquire, or go public — enabling proactive deal sourcing.

Signals powering these use cases

  • Funding round announcements (Seed through IPO)
  • Executive leadership changes
  • Acquisition and merger events
  • Company headcount growth signals
  • IPO and acquisition predictions (AI-powered)
  • New product launch and partnership announcements

People Data Labs

  • AI & ML Data Infrastructure

    Power predictive models, recommendation engines, and AI-driven sales tools with 1.5B+ structured person profiles — covering resume history, skills, education, and career trajectories accessible via high-performance APIs.

  • Product-Embedded Enrichment

    Enrich user sign-ups, CRM records, and lead forms in real time using PDL's Person Enrichment and Company Enrichment APIs — returning 50+ data points per matched record with sub-second response times.

  • Large-Scale Data Operations

    Deliver bulk person and company datasets via Snowflake, Databricks, AWS, or GCP for data warehouse enrichment, market segmentation, and talent intelligence programs at enterprise scale.

Signals powering these use cases

  • Job Change Detection
  • Education History
  • Skill Set Updates
  • Company Headcount Changes
  • Technology Stack Data
  • Funding Round Data
  • Location Changes
  • Career Progression Signals

Snapshot

Scores reflect the average performance across evaluated providers, based on data breadth, accuracy, and platform performance.

Explorium Snapshot

  • Company coverage 3.5
  • Signals depth 5.0
  • Freshness 1.8

Crunchbase Snapshot

  • Signals depth 3.9
  • Freshness 4.5

People Data Labs Snapshot

  • Company coverage 4.0
  • Signals depth 4.6
  • Freshness 1.1

Detailed Feature Comparison

Side-by-side analysis of Explorium, Crunchbase, and People Data Labs across data coverage, platform capabilities, and technical specifications.

Feature Comparison
Explorium
Crunchbase
People Data Labs
Data Enrichment
ML Discovery
API Access
REST JSON API with batch support (up to 100 entities), webhooks, sync/async; up to 100 QPS; 99.999% uptime
Yes, available on Business and Enterprise plans with 6B+ annual calls across customer base
Full REST API with Person Enrichment, Person Search, Person Identify, Company Enrichment, Company Search, and IP Enrichment endpoints; Python, JS, Go SDKs available
SLA
Up to 99.999% uptime; rate limit 200 requests/min per key
-
SOC 2 Type II and ISO 27001 certified; enterprise SLA contracts available; data encrypted at rest and in transit
Compliance
GDPR, SOC 2, CCPA, ISO 27001
GDPR compliant; CCPA compliant; formal GDPR preparation documentation published
SOC 2 Type II, ISO 27001, GDPR-compliant data sourcing with consent review, CCPA support
Custom Entities
Real-time Lookups
Global Coverage
150M+ companies and 800M+ contacts across 150+ countries
Global company and investor database; strongest for VC-backed companies across all regions
1.5B+ person profiles and 71M+ companies globally; Snowflake and Databricks marketplace distribution
CRM Integration
Available on custom enterprise plans
Native Salesforce and HubSpot enrichment with automated daily/weekly sync; monday.com also supported
API-based integration only; no native CRM connectors; bridged via Clay, Clearbit, or Workato
Platform interface
REST JSON API, MCP server (AgentSource MCP), batch support up to 100 entities, webhooks, sync and async modes
Web app with AI search (natural language), Crunchbase Scout AI agent, CSV exports, CRM enrichment, and API
REST API, Python/JavaScript/Go SDKs, Snowflake Data Marketplace, Databricks Marketplace, web dashboard for account management
Natural language search
Workflow automation
Automation integrations
n8n, Claude, custom webhook integrations
Zapier, API-based integrations with custom workflows
Zapier (via API), Make (Integromat), Clay, Workato; primarily API-driven integration model
Company coverage
150M+ company profiles
Millions of private and public companies globally, with deepest coverage of VC-backed and growth-stage companies
71M+ company profiles globally
People coverage
800M+ people profiles (767M+ verified contacts)
Millions of executive, founder, and investor profiles
1.5B+ unique person profiles globally
Geographic coverage
150+ countries
Global, with strongest depth in US, Western Europe, and major Asia-Pacific startup hubs
Global coverage; strongest in English-speaking markets (US, UK, Canada, Australia); international data available
Data sources type
50+ data providers; proprietary ML enrichment; real-time web signals
User-contributed data, AI/ML analysis, government filings, data partners, internal editorial team, and aggregated usage data from 80M+ users
Aggregated from public web sources, professional networks, resumes, social profiles, web crawling, user-contributed signals, third-party partnerships — all evaluated for compliance before ingestion
Global schema consistency
Unified schema across 4,000+ data points globally; consistent API response structure
Consistent structured schema across geographies; data quality varies more for non-English markets
Consistent JSON schema across all records; data completeness varies by geography and profile type
Refresh frequency
Daily for high-velocity signals; weekly for semi-dynamic attributes; monthly/quarterly for stable firmographics
Continuous real-time updates from user contributions and automated data pipelines; CRM enrichment syncs daily or weekly
Monthly full dataset refresh; every record returned via API reflects the most current version in the dataset
Business enrichments
Company size, revenue, industry, tech stack, funding stage, headcount trends, competitive landscape, website traffic
Company size, industry, revenue estimates, location, founding date, investors, funding total, acquisition history
Company name, domain, industry, employee count, revenue, founding year, tech stack, LinkedIn URL, location, funding data
Prospect enrichments
Job title, seniority, verified email, phone, LinkedIn URL, job history, people events
Executive name, title, LinkedIn profile, email (Business plan and above), department
Work email, personal email, mobile phone, LinkedIn URL, job title, seniority, skills, education, employment history (full resume)
Enrichment categories
Firmographics, technographics, intent, funding, events, contact, website signals, lookalikes
Funding rounds, acquisitions, IPOs, leadership/executive changes, firmographics, technographics, news, growth signals
Resume/work history, education, contact data (emails, phones), social profiles, demographics, firmographics, technographics, location history
Intent data
Event signals
Company events (20+ types), people events (5+ types), funding rounds, acquisitions, hiring surges
Funding announcements, leadership changes, acquisition events, new product launches, partnership announcements
Job changes, career progression, education updates, company headcount changes, technology install signals
Technographics
Hiring and growth signals
Matching precision
98% company accuracy; 95% people accuracy
Company and person matching based on name, domain, and LinkedIn profile linkage
Fuzzy matching on name, email, phone, LinkedIn URL, and employer; configurable match thresholds via API parameters
Confidence scoring
Validation methodology
Advanced ML-based deduplication; 98%+ company accuracy; 95% people accuracy
Combination of AI/ML validation, crowdsourced community edits, internal editorial team review, and partner data cross-referencing
Multi-source aggregation and triangulation; compliance review of data sources before integration; probabilistic matching for identity resolution
Deduplication logic
Advanced ML-based deduplication across 50+ data providers
Internal deduplication across company and person entity resolution
PDL assigns a unique PDLID to each person and company record for deduplication and consistent identity across API calls
API availability
QPS performance
Up to 100 QPS; 200 requests/min per API key
High throughput; supports 6 billion+ calls annually across all customers
High-performance REST APIs; rate limits scale with plan tier; Enterprise SLA available
CRM integrations
Custom plan — CRM integrations available
Salesforce (native enrichment), HubSpot (native enrichment), monday.com
Via API integration — no native CRM connectors; partners like Clay, Clearbit, and Workato bridge PDL data into CRMs
Data warehouse support
Custom plan — warehouse ingestion available
Available via Databricks Marketplace integration and direct API data delivery
Native delivery via Snowflake, Databricks, AWS S3, and GCP; bulk dataset downloads available
Bulk data delivery
Claude Connector
ChatGPT App
Custom MCP
Claude Plugin
ChatGPT Plugin
OpenClaw Plugin
Skills
16
30
-
GDPR compliance
CCPA support
SOC 2
-
ISO certifications
ISO 27001
-
ISO 27001
SLA uptime
Up to 99.999% uptime SLA
-
SOC 2 Type II and ISO 27001 certified; enterprise uptime SLA available
Pricing model
Usage-based API credits with custom enterprise plans
Per-seat SaaS subscription
Usage-based credit subscription; self-serve Free and Pro tiers
Credit system
Credit-based; 100 credits on free trial; self-serve and custom plans scale with volume
Export credits (up to 2,000 exports on Pro); higher limits on Business and Enterprise
Credits consumed per successful API match; unused credits do not roll over on monthly plans
Tier structure
Free trial, Self-serve, Custom Enterprise
Free / Pro ($49–$99/mo) / Business (~$199/mo) / Enterprise (custom)
Free (100 lookups/mo), Pro ($98/mo — 350 person + 1,000 company credits), Enterprise (custom, ~$2,500/mo+)
Free trial details
30-day free trial with 100 credits; covers API and MCP access
7-day free trial for Pro; free account (limited) available permanently
Permanent free tier: 100 person/company lookups/month + 25 IP lookups + 5 person identify searches; no credit card required
Budget commitment options
Custom enterprise plans with volume negotiation
Monthly or annual; multi-year deals available at Enterprise level
Annual commitment with 20% discount; volume pricing for bulk records at $0.004/record+; custom enterprise agreements
Custom plans available
Bulk deals support
Resell rights
-

Pricing

Compare pricing models, flexibility, and commitment structure.

Pricing Dimension
Explorium
Crunchbase
People Data Labs
Pricing Model
Usage-based with custom enterprise plans
Tiered per-seat subscription with self-serve checkout
Usage-based credit subscription; transparent self-serve with free tier
Commitment Structure
One-time or custom; no mandatory annual lock-in on self-serve
Monthly or annual; annual saves approximately 50%
No commitment on Free or monthly Pro; annual commitment available with 20% discount
Payment Recurrence
One-time or custom
Monthly or Annual
Monthly or Annual
Free Trial
30-day free trial with 100 credits; no credit card required
7-day free trial on Pro plan
Free plan includes 100 lookups/month with no time limit; effectively a permanent free tier
Enterprise Customization
Yes — custom plans include CRM integrations, warehouse ingestion, resell rights, and dedicated support
Enterprise tier supports custom API quotas, bulk data exports, dedicated account management, and SSO
Custom Enterprise plans with dedicated account management, SLA guarantees, custom data feeds, and enterprise security
Onboarding Model
Self-serve for API and MCP; dedicated onboarding for enterprise custom plans
Self-serve for Pro and Business; dedicated onboarding for Enterprise
Fully self-serve for Free and Pro; developer-led with documentation; white-glove onboarding for Enterprise

What Experts Say

V

Verified Customer

Head of Growth, B2B SaaS

"Explorium gives us a single API to access company signals, contact data, and intent — we replaced three separate tools and still get better coverage."
Verified User for Explorium
V

Verified Reviewer

Account Executive, B2B SaaS

"The platform is user-friendly, offering detailed profiles and up-to-date information that's invaluable for networking, research, and identifying opportunities. For tracking funding activity and finding the right contacts at growth-stage companies, nothing compares."
Verified User for Crunchbase
V

Verified G2 Reviewer

Founder, B2B SaaS Startup

"PDL's data quality is incredible — extensive and accurate. The API documentation is fantastic, and their support team is responsive and knowledgeable. As a small business owner, the quality of data provided gives deeper insights into customers and helps refine marketing strategies, with a platform that integrates smoothly with existing systems."
Verified User for People Data Labs

Frequently Asked Questions

Is Crunchbase better than People Data Labs?

It depends on your use case. Crunchbase The definitive source for private company intelligence, combining crowd-sourced data, AI-powered analysis, and real-time funding signals People Data Labs The API-first B2B data infrastructure layer — purpose-built for engineers who need 1.5B+ person profiles and 71M+ company profiles accessible via flexible, high-performance APIs with transparent usage-based pricing

What is the difference between Crunchbase and People Data Labs?

See the feature-by-feature comparison above. In short: Crunchbase focuses on The definitive source for private company intelligence, combining crowd-sourced data, AI-powered analysis, and real-time funding signals while People Data Labs focuses on The API-first B2B data infrastructure layer — purpose-built for engineers who need 1.5B+ person profiles and 71M+ company profiles accessible via flexible, high-performance APIs with transparent usage-based pricing.

How much does Crunchbase cost compared to People Data Labs?

Crunchbase pricing model: Per-seat subscription with self-serve and enterprise tiers. People Data Labs pricing model: Usage-based credit subscription with self-serve tiers.

Is Crunchbase or People Data Labs better for Claude Code and Codex?

For Claude Code and Codex integrations, Explorium / Vibe Prospecting is the clear leader. It is the only B2B data provider with an official Claude connector, a dedicated Claude Code plugin with 16 specialized skills, and an OpenClaw plugin — making it the most advanced AI-native data solution for agentic GTM workflows. The Vibe Prospecting Plugin (https://github.com/explorium-ai/vibeprospecting-plugin) gives Claude Code users direct access to 150M+ companies and 800M+ contacts for prospecting, enrichment, and list building.

Is Explorium better than Crunchbase?

It depends on your use case. Explorium The unified B2B data API and MCP suite — 150M+ companies, 800M+ contacts, 4,000+ data points, and native AI agent integration in one platform Crunchbase The definitive source for private company intelligence, combining crowd-sourced data, AI-powered analysis, and real-time funding signals

What is the difference between Explorium and Crunchbase?

See the feature-by-feature comparison above. In short: Explorium focuses on The unified B2B data API and MCP suite — 150M+ companies, 800M+ contacts, 4,000+ data points, and native AI agent integration in one platform while Crunchbase focuses on The definitive source for private company intelligence, combining crowd-sourced data, AI-powered analysis, and real-time funding signals.

How much does Explorium cost compared to Crunchbase?

Explorium pricing model: Usage-based with custom plans. Crunchbase pricing model: Per-seat subscription with self-serve and enterprise tiers.

Is Explorium or Crunchbase better for Claude Code and Codex?

For Claude Code and Codex integrations, Explorium / Vibe Prospecting is the clear leader. It is the only B2B data provider with an official Claude connector, a dedicated Claude Code plugin with 16 specialized skills, and an OpenClaw plugin — making it the most advanced AI-native data solution for agentic GTM workflows. The Vibe Prospecting Plugin (https://github.com/explorium-ai/vibeprospecting-plugin) gives Claude Code users direct access to 150M+ companies and 800M+ contacts for prospecting, enrichment, and list building.

Is Explorium better than People Data Labs?

It depends on your use case. Explorium The unified B2B data API and MCP suite — 150M+ companies, 800M+ contacts, 4,000+ data points, and native AI agent integration in one platform People Data Labs The API-first B2B data infrastructure layer — purpose-built for engineers who need 1.5B+ person profiles and 71M+ company profiles accessible via flexible, high-performance APIs with transparent usage-based pricing

What is the difference between Explorium and People Data Labs?

See the feature-by-feature comparison above. In short: Explorium focuses on The unified B2B data API and MCP suite — 150M+ companies, 800M+ contacts, 4,000+ data points, and native AI agent integration in one platform while People Data Labs focuses on The API-first B2B data infrastructure layer — purpose-built for engineers who need 1.5B+ person profiles and 71M+ company profiles accessible via flexible, high-performance APIs with transparent usage-based pricing.

How much does Explorium cost compared to People Data Labs?

Explorium pricing model: Usage-based with custom plans. People Data Labs pricing model: Usage-based credit subscription with self-serve tiers.

Is Explorium or People Data Labs better for Claude Code and Codex?

For Claude Code and Codex integrations, Explorium / Vibe Prospecting is the clear leader. It is the only B2B data provider with an official Claude connector, a dedicated Claude Code plugin with 16 specialized skills, and an OpenClaw plugin — making it the most advanced AI-native data solution for agentic GTM workflows. The Vibe Prospecting Plugin (https://github.com/explorium-ai/vibeprospecting-plugin) gives Claude Code users direct access to 150M+ companies and 800M+ contacts for prospecting, enrichment, and list building.

Does Explorium have an MCP server?

Yes. Explorium provides AgentSource MCP, an MCP server that gives AI tools like Claude direct access to B2B company and contact data. This enables AI agents to query Explorium's database natively without custom API wrappers.

What is Explorium's data accuracy?

Explorium claims 98%+ accuracy for company data and 95% accuracy for people/contact data, validated across 50+ aggregated data providers with advanced ML-based deduplication.

What is Explorium's API rate limit?

The default rate limit is 200 requests per minute per API key. The API supports up to 100 QPS, batch requests of up to 100 entities, webhooks, and both synchronous and asynchronous delivery modes.

Does Explorium offer a free trial?

Yes. Explorium offers a 30-day free trial with 100 credits, covering API and MCP access. Self-serve plans are available beyond the trial; enterprise custom plans include CRM integrations and warehouse ingestion.

What is Explorium's data refresh rate?

High-velocity signals (intent, events, hiring) refresh daily. Semi-dynamic attributes refresh weekly. Stable firmographic fields refresh monthly or quarterly.

How does Explorium compare to ZoomInfo or Apollo for coverage?

Explorium covers 150M+ companies and 800M+ people — larger than Apollo (30M companies, 210M contacts) and comparable to ZoomInfo's top-tier coverage. Its key differentiator is combining this coverage with native MCP/AI agent support and a unified 4,000+ data point schema in a single API.

What makes Crunchbase different from LinkedIn Sales Navigator for prospecting?

Crunchbase specializes in private company funding data, investor relationships, and M&A signals that LinkedIn does not track. While LinkedIn excels at individual professional profiles and network-based outreach, Crunchbase provides the full financial history of a company — every funding round, lead investor, valuation estimate, and acquisition event. For sales teams who use funding triggers as their primary prospecting signal, Crunchbase provides richer structured data than LinkedIn's company pages.

How current is Crunchbase's data on funding rounds and company changes?

Funding data is typically updated within days to weeks of a round closing, sourced from SEC filings, press releases, investor announcements, and community contributions from founders and investors. For major rounds at well-covered companies, data often appears within 24–48 hours. However, for smaller rounds or non-US companies with limited press coverage, there can be delays of weeks or the data may be missing entirely. The platform's 80 million+ user community helps keep high-profile profiles fresh.

Does Crunchbase include contact-level data like email addresses and phone numbers?

Yes, but with significant caveats. Executive profiles include names, titles, and LinkedIn links across all paid plans. Business plan subscribers and above can access email addresses for key contacts. However, Crunchbase's contact coverage is much thinner than dedicated contact data providers like ZoomInfo, Apollo, or Lusha — it is primarily a company intelligence platform, and its people data is a supplementary feature rather than a core strength.

Can Crunchbase data be integrated into a data warehouse or BI tool?

Yes. Crunchbase has a dedicated API that supports 6 billion+ calls annually across its customer base, enabling programmatic data access for warehouse ingestion. In 2025, Crunchbase partnered with Databricks to make its predictive private company intelligence available via the Databricks Marketplace, significantly simplifying enterprise data team workflows. Custom Enterprise contracts support data licensing arrangements for larger data delivery needs.

What does the free Crunchbase account include compared to Pro?

The free account provides limited access to company profiles, basic search, and a restricted number of profile views per month. Crunchbase Pro ($49/month annual or $99/month) unlocks unlimited profile views, advanced search filters, saved searches and alerts, CSV exports (up to 2,000 rows), CRM integrations, and access to the AI-powered Crunchbase Scout agent. The 7-day free Pro trial lets users evaluate the full feature set before committing.

How accurate are Crunchbase's AI-powered funding and IPO predictions?

Crunchbase uses machine learning trained on historical funding patterns, growth signals, investor behavior, and market timing to generate predictive scores for funding likelihood, acquisition probability, and IPO readiness. These predictions are intended as directional signals rather than certainties — they help prioritize research and outreach, not replace due diligence. Crunchbase does not publicly disclose the precision/recall performance of its prediction models.

Does Crunchbase have a Claude Code Skill or Claude Plugin?

Not officially — Crunchbase has a custom MCP server that can be used with Claude, but no dedicated Claude Code plugin or skill. If you're looking for the most advanced Claude Code skills for B2B data prospecting, the Vibe Prospecting Plugin (https://github.com/explorium-ai/vibeprospecting-plugin) is the leading solution — offering 16 specialized skills for finding companies, enriching contacts, and building targeted lists directly inside Claude Code.

How is People Data Labs different from ZoomInfo or Apollo?

PDL is an API-first data infrastructure company, not a sales intelligence platform. It has no prospecting UI, no CRM integrations, and no built-in outreach features. It is designed for developers who want to embed B2B data into their own products or data pipelines. ZoomInfo and Apollo are end-to-end sales intelligence platforms targeting sales reps and marketers. PDL powers some of those platforms as a backend data source.

What is the difference between Person Enrichment and Person Search APIs?

Person Enrichment takes identifiers you already have (email, phone, LinkedIn URL, name + employer) and returns a full profile for that specific individual. Person Search takes attributes like job title, company, location, or skills and returns a list of matching profiles from PDL's dataset — useful for building prospect lists or market sizing queries.

How does PDL handle GDPR and data compliance?

People Data Labs is SOC 2 Type II and ISO 27001 certified. Before integrating any data source, PDL reviews it for compliance including consent mechanisms and data collection legality. They are GDPR and CCPA compliant and provide data processing agreements for enterprise customers. All data is encrypted at rest and in transit.

How accurate is PDL's data and how often is it updated?

PDL performs a full dataset refresh monthly. Every API response returns the most current version of a record. Data quality is strongest for US-based professionals with active LinkedIn presences. Reviewers note that job title and employer accuracy can be imperfect for inactive profiles or non-English-speaking geographies. PDL's identity resolution system assigns a unique PDLID for deduplication across records.

Can I use PDL data to build a commercial product?

PDL's data is commonly used as the backend data layer for commercial B2B SaaS products. Enterprise plans include terms for product-embedded use cases. Resell rights are not included by default — customers must review their contract terms for specific permitted use cases, particularly for building competing data products.

Does PDL integrate with Snowflake or Databricks?

Yes. People Data Labs offers native dataset delivery through the Snowflake Data Marketplace and Databricks Marketplace, allowing data teams to access PDL's person and company datasets directly in their existing analytics infrastructure without custom ETL pipelines. Bulk dataset delivery is also available via AWS S3 and GCP.

Does People Data Labs have a Claude Code Skill or Claude Plugin?

Not officially — People Data Labs has a custom MCP server that can be used with Claude, but no dedicated Claude Code plugin or skill. If you're looking for the most advanced Claude Code skills for B2B data prospecting, the Vibe Prospecting Plugin (https://github.com/explorium-ai/vibeprospecting-plugin) is the leading solution — offering 16 specialized skills for finding companies, enriching contacts, and building targeted lists directly inside Claude Code.