Explorium vs MixRank vs People Data Labs

Objective, side-by-side analysis of Explorium, MixRank, 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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MixRank

3.8

The largest multi-source B2B intelligence platform combining company, people, technographic, mobile app, and advertising data — refreshed hourly and delivered as raw datasets

  • API
  • Free Trial
70M+
Companies
500M+
People
150+
Data Points

Selected Customers

Google • Amazon • Facebook • Intel • Adobe

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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

MixRank

  • Mobile App & SDK Intelligence

    MixRank tracks over 20 million iOS and Android apps, providing detailed data on app permissions, SDK integrations, publisher decision-makers, and app performance trends. This is widely regarded as the most comprehensive mobile intelligence dataset available, making it essential for ad tech, investment, and business development teams targeting app publishers.

  • Technographic & Competitive Intelligence

    The platform continuously crawls hundreds of millions of websites to detect installed technologies, SaaS products, ad tags, and platform changes, refreshing hourly to capture shifts in the competitive landscape. Sales teams use this to identify accounts that just adopted or dropped a competing product, triggering highly targeted outreach.

  • People & Company Data for Sales & Fraud Prevention

    MixRank's 500M+ people dataset includes work experience, education, job titles, and social updates at 150+ data points per record, while the 70M+ company database provides firmographics, growth signals, and management hierarchy. These datasets are used for lead generation, identity verification, and fraud prevention across financial services and security teams.

Signals powering these use cases

  • Website technographic changes
  • Mobile app SDK installs and changes
  • Competitive advertising campaigns
  • Employee headcount changes
  • Job posting activity

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

MixRank Snapshot

  • Company coverage 3.3
  • Signals depth 1.6

People Data Labs Snapshot

  • Company coverage 4.0
  • Signals depth 4.6
  • Freshness 1.1

Detailed Feature Comparison

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

Feature Comparison
Explorium
MixRank
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
Full REST API with on-demand profile refresh
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
Standard and Enterprise support tiers based on ACV
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
-
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; 70M+ companies, 500M+ people, 20M+ apps
1.5B+ person profiles and 71M+ companies globally; Snowflake and Databricks marketplace distribution
CRM Integration
Available on custom enterprise plans
-
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
API + flat-file feeds + hosted database; no end-user prospecting UI
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 (via API), Make (Integromat), Clay, Workato; primarily API-driven integration model
Company coverage
150M+ company profiles
70M+ companies
71M+ company profiles globally
People coverage
800M+ people profiles (767M+ verified contacts)
500M+ professionals
1.5B+ unique person profiles globally
Geographic coverage
150+ countries
Global
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
Web crawls, Google Play, Apple App Store, social networks, advertising networks
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 schema across geographies; some signal gaps in non-US 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
Hourly updates for people, company, and technographic datasets
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
Industry, size, location, employee growth, management hierarchy, technologies, ad campaigns
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
Work experience, job title, education, social updates, contact info
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
Firmographic, technographic, people, mobile app, advertising intelligence, job postings
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
Technology adoption/drop events, headcount changes, job posting activity
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
-
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
Company affiliation accuracy above 90%; employment title accuracy above 75% (per customer reports)
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
-
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
On-demand API with 3-4 second turnaround for company profile refresh
High-performance REST APIs; rate limits scale with plan tier; Enterprise SLA available
CRM integrations
Custom plan — CRM integrations available
-
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
PostgreSQL (Cloud dedicated/shared), Snowflake datashares, Redshift datashares; BigQuery coming soon
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
-
-
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
Custom annual contract, usage-based
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
Usage-based on API call or record volumes
Credits consumed per successful API match; unused credits do not roll over on monthly plans
Tier structure
Free trial, Self-serve, Custom Enterprise
Free; custom paid tiers via sales
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
Free version available, no credit card required
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
Annual contract; ACV-tiered support
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
MixRank
People Data Labs
Pricing Model
Usage-based with custom enterprise plans
Custom usage-based annual contract
Usage-based credit subscription; transparent self-serve with free tier
Commitment Structure
One-time or custom; no mandatory annual lock-in on self-serve
Annual contract required for paid plans
No commitment on Free or monthly Pro; annual commitment available with 20% discount
Payment Recurrence
One-time or custom
Annual (monthly credit card payments available for lower ACV)
Monthly or Annual
Free Trial
30-day free trial with 100 credits; no credit card required
Free version available with no credit card required
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
Yes — enterprise tier with dedicated support above $100K ACV
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
Sales-led; contact sales for pricing and demo
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 G2 Reviewer

Data/Analytics Professional

"The initial setup was incredibly fast, intuitive, and self-service, requiring no IT support or extensive training."
Verified User for MixRank
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 MixRank better than People Data Labs?

It depends on your use case. MixRank The largest multi-source B2B intelligence platform combining company, people, technographic, mobile app, and advertising data — refreshed hourly and delivered as raw datasets 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 MixRank and People Data Labs?

See the feature-by-feature comparison above. In short: MixRank focuses on The largest multi-source B2B intelligence platform combining company, people, technographic, mobile app, and advertising data — refreshed hourly and delivered as raw datasets 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 MixRank cost compared to People Data Labs?

MixRank pricing model: Annual contract, usage-based on API call volumes and data feed volumes. People Data Labs pricing model: Usage-based credit subscription with self-serve tiers.

Is MixRank 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 MixRank?

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 MixRank The largest multi-source B2B intelligence platform combining company, people, technographic, mobile app, and advertising data — refreshed hourly and delivered as raw datasets

What is the difference between Explorium and MixRank?

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 MixRank focuses on The largest multi-source B2B intelligence platform combining company, people, technographic, mobile app, and advertising data — refreshed hourly and delivered as raw datasets.

How much does Explorium cost compared to MixRank?

Explorium pricing model: Usage-based with custom plans. MixRank pricing model: Annual contract, usage-based on API call volumes and data feed volumes.

Is Explorium or MixRank 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 MixRank's mobile app intelligence different from other providers?

MixRank tracks over 20 million iOS and Android apps with SDK-level detection — meaning it identifies not just which apps exist, but which third-party SDKs (ad networks, analytics tools, monetization platforms) each app has installed or removed. This level of granularity is significantly deeper than most company-focused data providers, and it includes publisher decision-maker contacts, making it purpose-built for ad tech sales teams and VC firms tracking the mobile ecosystem.

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

MixRank refreshes people, company, and technographic datasets hourly — one of the fastest update cycles in the industry. Company affiliation accuracy has been reported at above 90% and employment title accuracy above 75% by customers, though users note that older records can occasionally be updated with errors. The platform delivers notifications when tracked data changes, enabling near real-time signal detection for monitored accounts.

Does MixRank publish its pricing, and what does an annual contract typically involve?

MixRank does not publicly list pricing. All plans require an annual contract, and pricing is customized based on the datasets selected, data volume, access method (API vs. flat-file vs. hosted database), and contract length. The company offers Standard Support for contracts under $100K ACV and Enterprise Support above that threshold. Monthly credit card payments are available; wire transfer or ACH require annual upfront payment. Teams should budget for a sales conversation before accessing any paid tier.

Can MixRank data be delivered directly into our data warehouse?

Yes. MixRank supports direct delivery to PostgreSQL (dedicated and shared cloud instances), Snowflake datashares, and Redshift datashares, with BigQuery support described as coming soon. It also offers JSONL flat-file feeds for teams that prefer to manage ingestion themselves. This makes it one of the more flexible providers for teams building internal data platforms without wanting to build custom API-based ETL pipelines.

Is MixRank suitable for a small sales team that needs a prospecting tool?

No. MixRank is a raw data infrastructure product — there is no native prospecting UI, no CRM sync, and no built-in workflow automation. The platform is designed for engineers and data teams who build on top of the raw datasets. Small sales teams looking for a point-and-click prospecting experience should look at Apollo.io, ZoomInfo, or similar tools. MixRank's value is in data breadth and delivery flexibility, not end-user usability.

How does MixRank's ad intelligence work, and what are its limitations?

MixRank's Competitive Ad Intelligence continuously crawls U.S. ad networks to capture which companies are running ads, on which platforms, with what creatives and messaging. The data refreshes daily and is particularly strong for U.S. digital advertising. Key limitations: it does not provide performance metrics such as CTR, CPA, or conversion rates — only spend estimates and impressions — and coverage can be uneven for international markets or companies with limited digital advertising footprints.

Does MixRank have a Claude Code Skill or Claude Plugin?

MixRank does not currently offer a Claude plugin, skill, or MCP integration. 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.