People Data Labs Alternatives.

People Data Labs top alternatives are Explorium, Coresignal, and LeadMagic. Compare data quality, key features, reviews, and more in seconds

People Data Labs

4.6

The API-first B2B data infrastructure layer — purpose-built for engineers who need 1.5B+ p...

  • API
  • Free Trial
  • GDPR Compliance

Explorium

4.8

The unified B2B data API and MCP suite — 150M+ companies, 800M+ contacts, 4,000+ data poin...

  • API
  • Free Trial
  • GDPR Compliance

Coresignal

The largest publicly sourced B2B dataset for developers — raw, clean, and multi-source com...

  • New York, USA (with teams across North America, Europe, and Asia)
  • Founded 2016
  • Visit website
  • API
  • Free Trial
  • GDPR Compliance

LeadMagic

5.0

The B2B data API built for AI agents and GTM engineers — pay only for valid results, no se...

  • API
  • Free Trial
  • GDPR Compliance

Primary Use Cases

Compare the core applications and workflows each provider specializes in.

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

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

Coresignal

  • Investment Intelligence & Deal Sourcing

    VC, hedge fund, and private equity firms use Coresignal's employee and firmographic data to detect early company growth signals — headcount growth, new hiring patterns, and funding-adjacent organizational changes. One of the largest global VC firms grew its data-influenced investment rate from 2% to 65% after adopting Coresignal's datasets, underscoring the platform's depth for investment decision-making.

  • B2B Data Product Development

    SaaS companies and data providers use Coresignal as a raw data layer to power their own enrichment products, lead generation tools, and market intelligence platforms. The tiered dataset structure — base, clean, and multi-source — lets engineering teams choose between raw records, normalized datasets, or fully merged multi-source records depending on their data quality needs.

  • Lead Generation & Talent Intelligence

    Sales and recruitment teams embedded within data-engineering organizations use the Jobs API to track hiring patterns and identify companies in expansion phases, and the Employee API to surface professional profiles with work history, job titles, and skills data. With 500+ data points per profile, Coresignal provides the granularity needed to build sophisticated custom lead scoring models.

Signals powering these use cases

  • Employee headcount growth and decline signals
  • Job posting volume and role-type signals
  • Historical headcount changes (longitudinal)
  • Company firmographic updates
  • Tech product review data

LeadMagic

  • AI Agent & GTM Engineering Stack

    LeadMagic provides 20+ enrichment endpoints accessible via REST API, CLI, and MCP — including native support for Claude Desktop, Claude Code, and Claude.ai. This makes it the data layer of choice for teams building AI prospecting agents, automated enrichment workflows, and conversational data lookups without leaving their development environment.

  • Website Visitor Identification

    LeadMagic's visitor identification product reveals the companies behind anonymous website traffic, enabling revenue teams to prioritize accounts showing active buying intent. It surfaces company name, industry, headcount, and contact data for visitors — turning website analytics into an actionable outbound signal.

  • Pay-Per-Result Data Enrichment

    With credits starting at $0.008 and charges only when valid data is returned, LeadMagic is purpose-built for teams running high-volume enrichment workflows where cost predictability matters. Credits never expire on paid plans and no failed lookup is ever charged — making it a transparent alternative to subscription-based enrichment tools.

Signals powering these use cases

  • Website visitor identification — reveals companies visiting your site in real time
  • Job change detection endpoint for monitoring contact movement
  • Catch-all email verification with risk scoring
  • MCP integration for conversational enrichment via Claude and other AI tools
  • Real-time SMTP + risk-score verification on every email (under 2% bounce rate)

Snapshot

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

People Data Labs Snapshot

  • Company coverage 4.0
  • Signals depth 4.6
  • Freshness 1.1

Explorium Snapshot

  • Company coverage 3.5
  • Signals depth 5.0
  • Freshness 1.8

Coresignal Snapshot

  • Company coverage 3.6
  • Signals depth 2.4
  • Freshness 3.9

LeadMagic Snapshot

  • Signals depth 2.8
  • Freshness 4.9

Detailed Feature Comparison

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

Feature Comparison
People Data Labs
Explorium
Coresignal
LeadMagic
Data Enrichment
ML Discovery
API Access
Full REST API with Person Enrichment, Person Search, Person Identify, Company Enrichment, Company Search, and IP Enrichment endpoints; Python, JS, Go SDKs available
REST JSON API with batch support (up to 100 entities), webhooks, sync/async; up to 100 QPS; 99.999% uptime
Company API, Employee API, Jobs API, Historical Headcount API, Company Enrichment API
Full REST API with 20+ endpoints; also accessible via CLI and MCP
SLA
SOC 2 Type II and ISO 27001 certified; enterprise SLA contracts available; data encrypted at rest and in transit
Up to 99.999% uptime; rate limit 200 requests/min per key
-
-
Compliance
SOC 2 Type II, ISO 27001, GDPR-compliant data sourcing with consent review, CCPA support
GDPR, SOC 2, CCPA, ISO 27001
GDPR and CCPA compliant; EWDCI (Ethical Web Data Collection Initiative) certified
GDPR compliant
Custom Entities
-
Real-time Lookups
Global Coverage
1.5B+ person profiles and 71M+ companies globally; Snowflake and Databricks marketplace distribution
150M+ companies and 800M+ contacts across 150+ countries
Global; 103M+ companies, 839M+ employees, 425M+ job records
Global; strongest in US and Europe
CRM Integration
API-based integration only; no native CRM connectors; bridged via Clay, Clearbit, or Workato
Available on custom enterprise plans
-
Clay (top-rated); API-based integration with any CRM or automation tool
Platform interface
REST API, Python/JavaScript/Go SDKs, Snowflake Data Marketplace, Databricks Marketplace, web dashboard for account management
REST JSON API, MCP server (AgentSource MCP), batch support up to 100 entities, webhooks, sync and async modes
API-only (Company API, Employee API, Jobs API, Historical Headcount API, Company Enrichment API); no UI
REST API, CLI, MCP (Claude Desktop, Claude Code, Claude.ai), web app dashboard
Natural language search
Workflow automation
-
Automation integrations
Zapier (via API), Make (Integromat), Clay, Workato; primarily API-driven integration model
n8n, Claude, custom webhook integrations
-
Clay, Zapier, n8n, Make; integrates into any stack via REST API
Company coverage
71M+ company profiles globally
150M+ company profiles
103M+ company records
Global company data including headcount, competitor intelligence, and firmographic enrichment
People coverage
1.5B+ unique person profiles globally
800M+ people profiles (767M+ verified contacts)
839M+ employee records
Real-time email finding and mobile phone enrichment; 97% stated email accuracy with SMTP verification
Geographic coverage
Global coverage; strongest in English-speaking markets (US, UK, Canada, Australia); international data available
150+ countries
Global
Global; 75–85% accuracy stated for US and European contacts
Data sources type
Aggregated from public web sources, professional networks, resumes, social profiles, web crawling, user-contributed signals, third-party partnerships — all evaluated for compliance before ingestion
50+ data providers; proprietary ML enrichment; real-time web signals
Publicly sourced web data (LinkedIn-equivalent professional data, job boards, company websites)
Proprietary real-time verification infrastructure; REST API aggregation; no single static database disclosed
Global schema consistency
Consistent JSON schema across all records; data completeness varies by geography and profile type
Unified schema across 4,000+ data points globally; consistent API response structure
Consistent global schema; 695M+ records refreshed monthly
Consistent schema across 20+ endpoints: email, phone, company, jobs, ads data
Refresh frequency
Monthly full dataset refresh; every record returned via API reflects the most current version in the dataset
Daily for high-velocity signals; weekly for semi-dynamic attributes; monthly/quarterly for stable firmographics
695M+ records refreshed monthly; database API refreshed every 6 hours; real-time API average response 176ms
Real-time on each API call
Business enrichments
Company name, domain, industry, employee count, revenue, founding year, tech stack, LinkedIn URL, location, funding data
Company size, revenue, industry, tech stack, funding stage, headcount trends, competitive landscape, website traffic
Company size, industry, location, funding stage, management structure, headcount history
Company name, website, headcount, competitor intelligence, industry, LinkedIn company page
Prospect enrichments
Work email, personal email, mobile phone, LinkedIn URL, job title, seniority, skills, education, employment history (full resume)
Job title, seniority, verified email, phone, LinkedIn URL, job history, people events
Work experience, job titles, skills, education, 500+ data points per profile
Verified email, mobile phone, job title, LinkedIn profile, job change signal
Enrichment categories
Resume/work history, education, contact data (emails, phones), social profiles, demographics, firmographics, technographics, location history
Firmographics, technographics, intent, funding, events, contact, website signals, lookalikes
Firmographic, employee, job postings, historical headcount, tech product reviews
Email finding, email verification, mobile phone, company enrichment, website visitor identification, job change detection, catch-all verification, competitor data, headcount
Intent data
-
Event signals
Job changes, career progression, education updates, company headcount changes, technology install signals
Company events (20+ types), people events (5+ types), funding rounds, acquisitions, hiring surges
Job posting volume changes, headcount growth signals, tech product review signals
Job change detection endpoint; website visitor identification (company-level intent signal)
Technographics
-
Hiring and growth signals
Matching precision
Fuzzy matching on name, email, phone, LinkedIn URL, and employer; configurable match thresholds via API parameters
98% company accuracy; 95% people accuracy
-
97% stated email accuracy; 75–85% for US and European contacts in independent assessments
Confidence scoring
-
Validation methodology
Multi-source aggregation and triangulation; compliance review of data sources before integration; probabilistic matching for identity resolution
Advanced ML-based deduplication; 98%+ company accuracy; 95% people accuracy
Base, Clean (parsed, deduplicated, standardized), and Multi-source (merged from multiple sources) dataset tiers
Syntax, DNS, SMTP, mailbox validation, and risk scoring on every email; bounce rate under 2%
Deduplication logic
PDL assigns a unique PDLID to each person and company record for deduplication and consistent identity across API calls
Advanced ML-based deduplication across 50+ data providers
Clean tier: parsed, deduplicated, and standardized; Multi-source tier: merged and aggregated across sources
-
API availability
QPS performance
High-performance REST APIs; rate limits scale with plan tier; Enterprise SLA available
Up to 100 QPS; 200 requests/min per API key
Average API response time: 176ms
-
CRM integrations
Via API integration — no native CRM connectors; partners like Clay, Clearbit, and Workato bridge PDL data into CRMs
Custom plan — CRM integrations available
-
Clay (top-rated provider in Clay marketplace), Apollo; no native direct CRM integrations
Data warehouse support
Native delivery via Snowflake, Databricks, AWS S3, and GCP; bulk dataset downloads available
Custom plan — warehouse ingestion 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
SOC 2 Type II and ISO 27001 certified; enterprise uptime SLA available
Up to 99.999% uptime SLA
-
-
Pricing model
Usage-based credit subscription; self-serve Free and Pro tiers
Usage-based API credits with custom enterprise plans
Credit-based subscription + bulk dataset licensing
Credit-based subscription, pay per valid result
Credit system
Credits consumed per successful API match; unused credits do not roll over on monthly plans
Credit-based; 100 credits on free trial; self-serve and custom plans scale with volume
Separate Collect and Search credit pools; multi-source data costs double credits
Credits start at $0.008; email finding = 1 credit; email validation = 0.25 credits; mobile phone = 5 credits; not-found results always free; credits never expire on Essential+ plans
Tier structure
Free (100 lookups/mo), Pro ($98/mo — 350 person + 1,000 company credits), Enterprise (custom, ~$2,500/mo+)
Free trial, Self-serve, Custom Enterprise
Starter ($49/mo), Pro (~$800/mo), Premium (~$1,500/mo), Enterprise (custom)
Basic ($59.99/mo, 2,500 credits), Essential ($99.99/mo, 10,000 credits + rollover), Growth ($179.99/mo, 20,000 credits), Pro ($399.99/mo, 50,000 credits), Ultimate ($799.99/mo, 100,000 credits)
Free trial details
Permanent free tier: 100 person/company lookups/month + 25 IP lookups + 5 person identify searches; no credit card required
30-day free trial with 100 credits; covers API and MCP access
200 Collect + 400 Search credits, 14-day free trial
100 free credits on signup; no credit card required; usable across all 20+ API endpoints
Budget commitment options
Annual commitment with 20% discount; volume pricing for bulk records at $0.004/record+; custom enterprise agreements
Custom enterprise plans with volume negotiation
Monthly or annual; annual gets 20% discount
Monthly billing only; no annual lock-in; credit rollover on Essential+ plans; no per-seat fees
Custom plans available
Bulk deals support
Resell rights
-
-
-

Pricing

Compare pricing models, flexibility, and commitment structure.

Pricing Dimension
People Data Labs
Explorium
Coresignal
LeadMagic
Pricing Model
Usage-based credit subscription; transparent self-serve with free tier
Usage-based with custom enterprise plans
Credit-based subscription + bulk dataset contracts
Credit-based subscription, pay only for valid results — no per-seat fees
Commitment Structure
No commitment on Free or monthly Pro; annual commitment available with 20% discount
One-time or custom; no mandatory annual lock-in on self-serve
Monthly or annual; datasets require annual contracts
Monthly billing; no annual commitment required on any plan
Payment Recurrence
Monthly or Annual
One-time or custom
Monthly or Annual
Monthly
Free Trial
Free plan includes 100 lookups/month with no time limit; effectively a permanent free tier
30-day free trial with 100 credits; no credit card required
200 Collect + 400 Search credits, 14 days, no credit card required
100 free credits on signup; no credit card required; works across all enrichment endpoints
Enterprise Customization
Custom Enterprise plans with dedicated account management, SLA guarantees, custom data feeds, and enterprise security
Yes — custom plans include CRM integrations, warehouse ingestion, resell rights, and dedicated support
Yes — custom pricing for commercial API and bulk dataset access
Custom volume arrangements available for high-throughput teams
Onboarding Model
Fully self-serve for Free and Pro; developer-led with documentation; white-glove onboarding for Enterprise
Self-serve for API and MCP; dedicated onboarding for enterprise custom plans
Self-serve for API plans; sales-led for dataset and enterprise contracts
Developer-first self-serve; comprehensive API documentation; MCP and CLI setup guides available

What Experts Say

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
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 Customer

B2B SaaS, Sales Operations

"We are using Coresignal to enrich our AI platform for Sales Pipeline Growth, which results in +25% in net new pipeline in 2 months, and +40% after 6 months. The Coresignal team is incredibly pleasant and professional to work with."
Verified User for Coresignal
V

Verified G2 Reviewer

Sales Director, B2B Technology Company

"LeadMagic has the best price of the market and the quality is very good. The most accurate contact data I have found — and we have used them all: Leadfeeder, Lusha, ZoomInfo, Slintel to mention a few. Quality of data is amazing; within minutes I can find and call people and it's exactly what I need."
Verified User for LeadMagic

Frequently Asked Questions

Who are the top alternatives for People Data Labs?

The best alternatives for People Data Labs are: Explorium, Coresignal, LeadMagic.

Is People Data Labs better than Explorium?

It depends on your use case. 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 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

What is the difference between People Data Labs and Explorium?

See the feature-by-feature comparison above. In short: 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 while 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.

How much does People Data Labs cost compared to Explorium?

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

Is People Data Labs or Explorium 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.

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.

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.

Does Coresignal require engineering resources, or can non-technical users access the data?

Coresignal is an API-first data infrastructure product with no native user interface, no CRM sync, and no built-in workflow automation. Extracting meaningful value requires engineering resources to build API integrations, data pipelines, and signal-detection logic. If your organization does not have data engineers or software developers, Coresignal is not the right product — you would be better served by an end-to-end sales intelligence platform like Apollo.io or ZoomInfo. An AI agent on the platform can help describe data needs and generate structured queries, but actual data delivery still requires technical implementation.

How fresh is Coresignal's data, and how does it handle data staleness?

Coresignal refreshes 695M+ records monthly and its database API is updated every 6 hours. However, many records — particularly for smaller companies or less-active professionals — can be 3-4 months old at point of access, which is a meaningful limitation for time-sensitive use cases like AI SDR outreach or real-time recruiting. Each record includes a last-updated timestamp, and Coresignal can provide a freshness statistics file on request to validate the dataset quality for a specific use case before committing to a plan.

What is the difference between the base, clean, and multi-source data tiers?

The base tier contains raw records as collected from public web sources — highest volume, lowest preprocessing. The clean tier is parsed, deduplicated, and standardized into a consistent schema, making it ready for direct use in most data products without additional normalization. The multi-source tier merges information from multiple sources to provide the most complete and accurate view of each entity — but costs double the credits of the clean tier. Most production use cases benefit from the clean tier; investment intelligence workflows or data products requiring maximum completeness typically justify the multi-source premium.

Is Coresignal GDPR and CCPA compliant? What certifications does it hold?

Yes. Coresignal's data processing procedures and privacy policy align with both GDPR and CCPA requirements. The company is also a founding member and certificate holder of the EWDCI (Ethical Web Data Collection Initiative), which validates its alignment with four core principles: legality, ethics, ecosystem engagement, and social responsibility. Coresignal maintains an information security policy covering encryption, breach response procedures, and restricted access controls. Note that it does not appear to hold SOC 2 Type II or ISO 27001 certifications based on publicly available information.

Can Coresignal data be used to build a product sold to third parties?

Coresignal's data is used by hundreds of customers to power their own data products and enrichment platforms, suggesting resale or embedded use is supported in some commercial arrangements. However, specific terms around resale and white-labeling rights are not publicly disclosed and would need to be negotiated directly with Coresignal's sales team as part of the commercial contract. Prospective customers planning to embed Coresignal data in products sold to third parties should clarify licensing terms explicitly before signing.

Why do customers often pay more than the stated plan price?

Coresignal's credit-based pricing can lead to unexpected costs because the multi-source data tier (the most commonly used for production workloads) consumes double the credits of the clean tier. Additionally, fair-use policy enforcement means teams that exceed their plan's credit limits are upgraded to higher tiers mid-contract. Independent analyses have found that real-world monthly costs often run 30-80% above base plan pricing for growing data teams. Coresignal recommends modeling your expected credit consumption carefully before selecting a plan.

Does Coresignal have a Claude Code Skill or Claude Plugin?

Not officially — Coresignal 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 does LeadMagic's MCP integration work with Claude and other AI tools?

LeadMagic provides 16 MCP (Model Context Protocol) tools that connect its enrichment endpoints directly to AI environments including Claude Desktop, Claude Code, Claude.ai, and Cursor. Once configured with your LeadMagic API key, you can ask the AI assistant to look up a contact's email, enrich a company record, or identify website visitors in natural language — and the AI will call the appropriate LeadMagic API endpoint, return the result, and incorporate it into the conversation. This enables conversational B2B data enrichment without writing code or switching to a separate interface.

What is the difference between LeadMagic's Basic and Essential plans regarding credit rollover?

On the Basic plan ($59.99/month, 2,500 credits), unused credits expire at the end of each billing cycle. On the Essential plan ($99.99/month, 10,000 credits) and all higher tiers, unused credits roll over indefinitely with no expiration date. For teams with variable enrichment volume — such as those running large campaigns in some months and minimal enrichment in others — the Essential plan's rollover policy can provide significantly better value despite its higher nominal price.

How does LeadMagic's Clay integration work, and why is it the top-rated provider in Clay's marketplace?

LeadMagic is accessible as a native data provider within Clay, where it powers email finding, phone enrichment, company data, and visitor identification directly within Clay table workflows. When accessed via Clay's managed integration, enrichment costs 6 credits per enriched cell (reflecting Clay's coordination layer). LeadMagic is rated as the top enrichment provider in Clay's marketplace based on community reviews, primarily due to its accuracy-to-cost ratio — teams using LeadMagic via Clay report finding valid data at a significantly lower cost per result compared to other providers in the same marketplace.

How accurate is LeadMagic's email verification, and what validation steps does it perform?

LeadMagic states 97% email accuracy and a under-2% bounce rate, achieved through a five-step verification pipeline: syntax check (format validation), DNS validation (domain exists and has valid MX records), SMTP handshake (mailserver accepts the email), mailbox validation (address-level existence check), and risk scoring (spam trap and disposable email detection). Every email that passes this pipeline is returned as verified; any email that fails any step is returned as invalid and no credit is charged. The stated 75–85% accuracy range for US and European contacts in independent assessments reflects the real-world find rate, not the accuracy of emails that are returned.

What does LeadMagic's website visitor identification product actually reveal?

LeadMagic's visitor identification product de-anonymizes company-level website traffic — it reveals which companies are visiting your website, not individual visitor identities. For each identified visit, it surfaces company name, industry, headcount, company website, and a link to matching contacts in LeadMagic's enrichment database so you can identify decision-makers to contact. It does not identify individual visitors by name or personal data. The signal is most useful for account-based sales and marketing teams that want to prioritize outreach to companies already showing active interest in their product.

Does LeadMagic have a Claude Code Skill or Claude Plugin?

Not officially — LeadMagic 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.