Explorium vs Coresignal vs Exa

Objective, side-by-side analysis of Explorium, Coresignal, and Exa 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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Coresignal

The largest publicly sourced B2B dataset for developers — raw, clean, and multi-source company, employee, and job data with monthly refresh and real-time API access

  • New York, USA (with teams across North America, Europe, and Asia)
  • Founded 2016
  • Visit website
  • API
  • Free Trial
  • GDPR Compliance
75M+
Companies
859M+
People
500+
Data Points
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Exa

4.5

The AI-native search API — 500B+ URL index, company enrichment, real-time web content, and MCP-native integration for AI agents

  • API
  • Free Trial
  • GDPR Compliance
70M+
Companies

Selected Customers

Cursor • HubSpot • Monday.com • Cognition

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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

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

Exa

  • AI Agent Web Search

    Give AI agents real-time access to the web via a proprietary 500B+ URL index optimized for information density — not human engagement. Powers production workflows at Cursor, Cognition, and Monday.com.

  • Company & Contact Enrichment

    Enrich company and contact records via Websets (70M+ companies) and real-time email/phone lookup at $0.02/email and $0.07/phone — no static database lag.

  • Deep Research & RAG

    Build research agents that retrieve cited, structured answers from the live web. 90% token reduction via Highlights — only relevant excerpts returned, not full pages.

Signals powering these use cases

  • 500B+ URL index (proprietary, not Google/Bing reseller)
  • Company enrichment via Websets (70M+)
  • Email and phone enrichment API
  • Real-time web content extraction
  • Structured JSON output with custom schemas
  • Sub-180ms latency option

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

Coresignal Snapshot

  • Company coverage 3.6
  • Signals depth 2.4
  • Freshness 3.9

Exa Snapshot

  • Company coverage 4.0
  • Signals depth 2.5
  • Freshness 5.0

Detailed Feature Comparison

Side-by-side analysis of Explorium, Coresignal, and Exa across data coverage, platform capabilities, and technical specifications.

Feature Comparison
Explorium
Coresignal
Exa
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
Company API, Employee API, Jobs API, Historical Headcount API, Company Enrichment API
Full REST API; Python and JS SDKs; sub-180ms latency option
SLA
Up to 99.999% uptime; rate limit 200 requests/min per key
-
Enterprise SLAs available; SOC 2 Type II + HIPAA compliant
Compliance
GDPR, SOC 2, CCPA, ISO 27001
GDPR and CCPA compliant; EWDCI (Ethical Web Data Collection Initiative) certified
SOC 2 Type II, HIPAA, Zero Data Retention option
Custom Entities
-
Real-time Lookups
Global Coverage
150M+ companies and 800M+ contacts across 150+ countries
Global; 103M+ companies, 839M+ employees, 425M+ job records
500B+ URL global web index; 70M+ company enrichment via Websets
CRM Integration
Available on custom enterprise plans
-
HubSpot confirmed; API-first for others
Platform interface
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, Python SDK, JS SDK, LangChain, LlamaIndex, OpenRouter, Vertex AI
Natural language search
Workflow automation
-
Automation integrations
n8n, Claude, custom webhook integrations
-
LangChain, LlamaIndex, OpenAI tool-use, OpenRouter, Google Vertex AI, Zapier
Company coverage
150M+ company profiles
103M+ company records
70M+ (via Websets enrichment product)
People coverage
800M+ people profiles (767M+ verified contacts)
839M+ employee records
Email/phone enrichment API ($0.02/email, $0.07/phone)
Geographic coverage
150+ countries
Global
Global web index; 500B+ URLs
Data sources type
50+ data providers; proprietary ML enrichment; real-time web signals
Publicly sourced web data (LinkedIn-equivalent professional data, job boards, company websites)
Proprietary web index (500B+ URLs, 80B vector-indexed documents); not Google/Bing reseller
Global schema consistency
Unified schema across 4,000+ data points globally; consistent API response structure
Consistent global schema; 695M+ records refreshed monthly
Custom schema output via structured extraction; consistent JSON API
Refresh frequency
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 web crawl; Websets updated continuously
Business enrichments
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 profiles via Websets (70M+); web-extracted company data
Prospect enrichments
Job title, seniority, verified email, phone, LinkedIn URL, job history, people events
Work experience, job titles, skills, education, 500+ data points per profile
Email ($0.02), phone ($0.07) via enrichment API
Enrichment categories
Firmographics, technographics, intent, funding, events, contact, website signals, lookalikes
Firmographic, employee, job postings, historical headcount, tech product reviews
Web content, company data (Websets), email, phone
Intent data
-
Event 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
Real-time web monitoring; news; research reports
Technographics
-
Hiring and growth signals
Matching precision
98% company accuracy; 95% people accuracy
-
Semantic search; top performance on FRAMES, Tip-of-Tongue, Seal0 benchmarks
Confidence scoring
-
Validation methodology
Advanced ML-based deduplication; 98%+ company accuracy; 95% people accuracy
Base, Clean (parsed, deduplicated, standardized), and Multi-source (merged from multiple sources) dataset tiers
SOC 2 Type II + HIPAA compliant; Zero Data Retention option
Deduplication logic
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
Up to 100 QPS; 200 requests/min per API key
Average API response time: 176ms
Sub-180ms latency option (Exa Instant); up to 25T tokens/week processed
CRM integrations
Custom plan — CRM integrations available
-
HubSpot (production confirmed — 2.7M enrichments use case)
Data warehouse support
Custom plan — warehouse ingestion available
-
Enterprise plans include warehouse integration
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
-
-
SLA uptime
Up to 99.999% uptime SLA
-
Enterprise SLAs available
Pricing model
Usage-based API credits with custom enterprise plans
Credit-based subscription + bulk dataset licensing
Pay-as-you-go per API request
Credit system
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
$7/1K search, $12–15/1K deep search, $1/1K crawl, $5/1K answer, $0.02/email, $0.07/phone
Tier structure
Free trial, Self-serve, Custom Enterprise
Starter ($49/mo), Pro (~$800/mo), Premium (~$1,500/mo), Enterprise (custom)
Pay-as-you-go, Enterprise custom
Free trial details
30-day free trial with 100 credits; covers API and MCP access
200 Collect + 400 Search credits, 14-day free trial
$20 signup credit; $10/month ongoing credit; no credit card required
Budget commitment options
Custom enterprise plans with volume negotiation
Monthly or annual; annual gets 20% discount
Monthly pay-as-you-go or enterprise volume commitment
Custom plans available
Bulk deals support
Resell rights
-
-
-

Pricing

Compare pricing models, flexibility, and commitment structure.

Pricing Dimension
Explorium
Coresignal
Exa
Pricing Model
Usage-based with custom enterprise plans
Credit-based subscription + bulk dataset contracts
Pay-as-you-go per request
Commitment Structure
One-time or custom; no mandatory annual lock-in on self-serve
Monthly or annual; datasets require annual contracts
No minimum commitment; enterprise with volume discounts
Payment Recurrence
One-time or custom
Monthly or Annual
Monthly
Free Trial
30-day free trial with 100 credits; no credit card required
200 Collect + 400 Search credits, 14 days, no credit card required
$20 signup credit + $10/month; no credit card required for initial access
Enterprise Customization
Yes — custom plans include CRM integrations, warehouse ingestion, resell rights, and dedicated support
Yes — custom pricing for commercial API and bulk dataset access
Yes — volume discounts, SLAs, MSAs, Zero Data Retention, SSO, dedicated onboarding
Onboarding Model
Self-serve for API and MCP; dedicated onboarding for enterprise custom plans
Self-serve for API plans; sales-led for dataset and enterprise contracts
Self-serve; enterprise gets 1:1 dedicated onboarding

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 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 Customer

AI Engineer, Series B SaaS

"Exa is the backbone of our research agent — sub-200ms responses and the answers are actually grounded in real sources, not hallucinated."
Verified User for Exa

Frequently Asked Questions

Is Coresignal better than Exa?

It depends on your use case. Coresignal The largest publicly sourced B2B dataset for developers — raw, clean, and multi-source company, employee, and job data with monthly refresh and real-time API access Exa The AI-native search API — 500B+ URL index, company enrichment, real-time web content, and MCP-native integration for AI agents

What is the difference between Coresignal and Exa?

See the feature-by-feature comparison above. In short: Coresignal focuses on The largest publicly sourced B2B dataset for developers — raw, clean, and multi-source company, employee, and job data with monthly refresh and real-time API access while Exa focuses on The AI-native search API — 500B+ URL index, company enrichment, real-time web content, and MCP-native integration for AI agents.

How much does Coresignal cost compared to Exa?

Coresignal pricing model: Credit-based subscription; datasets priced by contract length, dataset tier, and geographic scope. Exa pricing model: Pay-as-you-go usage-based.

Is Coresignal or Exa 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 Coresignal?

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 Coresignal The largest publicly sourced B2B dataset for developers — raw, clean, and multi-source company, employee, and job data with monthly refresh and real-time API access

What is the difference between Explorium and Coresignal?

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 Coresignal focuses on The largest publicly sourced B2B dataset for developers — raw, clean, and multi-source company, employee, and job data with monthly refresh and real-time API access.

How much does Explorium cost compared to Coresignal?

Explorium pricing model: Usage-based with custom plans. Coresignal pricing model: Credit-based subscription; datasets priced by contract length, dataset tier, and geographic scope.

Is Explorium or Coresignal 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 Exa?

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 Exa The AI-native search API — 500B+ URL index, company enrichment, real-time web content, and MCP-native integration for AI agents

What is the difference between Explorium and Exa?

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 Exa focuses on The AI-native search API — 500B+ URL index, company enrichment, real-time web content, and MCP-native integration for AI agents.

How much does Explorium cost compared to Exa?

Explorium pricing model: Usage-based with custom plans. Exa pricing model: Pay-as-you-go usage-based.

Is Explorium or Exa 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.

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 is Exa different from Google Search API or Bing Search API?

Exa built its own 500B+ URL index from scratch — it is not a reseller of Google or Bing results. Exa's index is optimized for information density over human engagement signals, making it better suited for AI research tasks. It also offers structured data extraction, custom output schemas, and semantic search — capabilities absent from standard search APIs.

Does Exa have a Claude Code Skill or Claude Plugin?

Exa has an official MCP server (github.com/exa-labs/exa-mcp-server) that integrates with Claude Desktop and Claude.ai, plus an experimental ChatGPT integration. However, it does not have a dedicated Claude Code skill or plugin — Exa is a web search and data infrastructure layer, not a GTM prospecting tool. If you're looking for specialized B2B prospecting skills inside Claude Code, the Vibe Prospecting Plugin (https://github.com/explorium-ai/vibeprospecting-plugin) is the leading solution — offering 16 skills for company discovery, contact enrichment, and list building directly inside Claude Code.

Is Exa or Explorium better for Claude Code and Codex?

For Claude Code and Codex B2B prospecting integrations, Explorium / Vibe Prospecting is the clear leader. Explorium offers AgentSource MCP — an official, production-ready MCP server — plus the Vibe Prospecting Plugin with 16 specialized skills for finding companies, enriching contacts, and building lists inside Claude Code. Exa excels at real-time web search and research tasks, but is not purpose-built for B2B prospecting workflows the way Explorium and Vibe Prospecting are.