Explorium vs Crustdata vs Ocean.io

Objective, side-by-side analysis of Explorium, Crustdata, and Ocean.io 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

Crustdata

The first B2B data search engine built for AI agents — real-time people and company intelligence via clean, fast APIs

  • API
  • Free Trial

Ocean.io

3.4

The AI lookalike engine that turns your best customers into your best leads

  • API
  • Free Trial
  • GDPR Compliance

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

Crustdata

  • AI Agent Data Infrastructure

    Power AI SDRs, sales copilots, and recruiting agents with structured real-time data — company signals, people profiles, and web intelligence delivered via clean APIs that AI systems can directly query and act on.

  • Growth Signal Monitoring

    Track company growth signals — headcount trends by department, funding rounds, executive moves, and web traffic changes — to identify the right moment to engage accounts based on real behavioral data.

  • Company & People Discovery

    Screen and filter millions of companies using 250+ firmographic criteria, then retrieve detailed people profiles with 90+ datapoints — built for deal sourcing, market mapping, and targeted prospecting at scale.

Signals powering these use cases

  • Headcount growth by department
  • Funding announcements
  • Executive moves
  • Web traffic trends
  • Job opening velocity
  • Product launch news

Ocean.io

  • AI Lookalike Prospecting

    Ocean.io's core ML and NLP model analyzes how companies describe themselves on their websites to understand what they actually do — then finds companies with the same characteristics. By connecting your CRM, the algorithm builds a statistical profile of your best customers and returns lookalike prospects ranked by similarity, dramatically improving targeting precision over keyword or SIC-code approaches.

  • Buying Committee Discovery

    Beyond account-level targeting, Ocean.io surfaces the full buying committee within each target company using its 250M+ contact database. Users can filter by seniority, department, and role to identify every relevant decision-maker and influencer, enabling multi-threaded outreach strategies across accounts.

  • ICP List Building & ABM

    Marketing teams use Ocean.io to build highly targeted account lists for ABM campaigns by combining lookalike scoring with 200+ filters — technology stack, company size, geography, and contact seniority. CRM integrations with HubSpot, Salesforce, and Pipedrive sync target accounts directly into existing workflows without manual exports.

Signals powering these use cases

  • Lookalike company match score
  • ICP fit indicators
  • Technology stack filters
  • Contact seniority level
  • Company size and growth

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

Crustdata Snapshot

  • Company coverage 3.7
  • Signals depth 3.2
  • Freshness 2.6

Ocean.io Snapshot

  • Company coverage 2.3
  • Signals depth 2.5

Detailed Feature Comparison

Side-by-side analysis of Explorium, Crustdata, and Ocean.io across data coverage, platform capabilities, and technical specifications.

Feature Comparison
Explorium
Crustdata
Ocean.io
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
Core product — REST API and webhooks with comprehensive documentation
Available on Professional and custom plans
SLA
Up to 99.999% uptime; rate limit 200 requests/min per key
-
-
Compliance
GDPR, SOC 2, CCPA, ISO 27001
-
GDPR and CCPA compliant
Custom Entities
-
Real-time Lookups
Global Coverage
150M+ companies and 800M+ contacts across 150+ countries
Global — aggregated from international public sources
35M+ global company profiles
CRM Integration
Available on custom enterprise plans
Via API integration; no native one-click CRM connectors
HubSpot, Salesforce, Pipedrive native integrations
Platform interface
REST JSON API, MCP server (AgentSource MCP), batch support up to 100 entities, webhooks, sync and async modes
API-first; no traditional UI prospecting interface
Web app, API, CRM integrations
Natural language search
Workflow automation
Automation integrations
n8n, Claude, custom webhook integrations
Webhooks for event-driven automation; Composio toolkit integration
LinkedIn
Company coverage
150M+ company profiles
60M+ global companies
35M+ company profiles
People coverage
800M+ people profiles (767M+ verified contacts)
1B+ people profiles
250M+ LinkedIn-sourced contact profiles
Geographic coverage
150+ countries
Global coverage aggregated from international sources
Global; US and EU focus
Data sources type
50+ data providers; proprietary ML enrichment; real-time web signals
LinkedIn, SEC filings, funding announcements, Glassdoor, G2 reviews, web traffic analytics, news aggregators, government filings
Proprietary AI model trained on web content; LinkedIn-sourced contact data; 25+ data scientists maintaining dataset
Global schema consistency
Unified schema across 4,000+ data points globally; consistent API response structure
Consistent API schema; data refreshed monthly with real-time signals via webhooks
Normalized across company and contact records
Refresh frequency
Daily for high-velocity signals; weekly for semi-dynamic attributes; monthly/quarterly for stable firmographics
Monthly refresh for core data; real-time signals via webhooks and Web Search API
Continuously updated by 25+ data scientists
Business enrichments
Company size, revenue, industry, tech stack, funding stage, headcount trends, competitive landscape, website traffic
250+ firmographic datapoints including headcount growth, funding history, technology stack, web traffic trends, Glassdoor ratings
Company size, technology stack (200+ filters), ICP fit scoring
Prospect enrichments
Job title, seniority, verified email, phone, LinkedIn URL, job history, people events
90+ datapoints per person including work history, skills, education, contact signals
Contact emails, job titles, department, seniority; 99% email success rate claimed
Enrichment categories
Firmographics, technographics, intent, funding, events, contact, website signals, lookalikes
Headcount by department, funding rounds, investors, tech stack, web traffic, employee reviews, job openings, executive moves, product news
Company lookalike scores, contact information, technology stack, company size, industry niche
Intent data
Event signals
Company events (20+ types), people events (5+ types), funding rounds, acquisitions, hiring surges
Funding announcements, headcount changes, executive moves, product launches, news articles
-
Technographics
Hiring and growth signals
Matching precision
98% company accuracy; 95% people accuracy
Domain-based and name-based entity matching for companies; profile-based matching for people
ML + NLP analysis of company website language to determine business category and lookalike fit
Confidence scoring
-
Validation methodology
Advanced ML-based deduplication; 98%+ company accuracy; 95% people accuracy
Aggregated from authoritative public sources; AI-assisted extraction and normalization
Multi-source verification; 98% CRM match rate; 99% email success rate claimed
Deduplication logic
Advanced ML-based deduplication across 50+ data providers
Entity resolution across multiple source feeds
CRM sync deduplicates against existing accounts
API availability
QPS performance
Up to 100 QPS; 200 requests/min per API key
High-throughput API with no rate limits mentioned for enterprise tiers
-
CRM integrations
Custom plan — CRM integrations available
Via API — integrates into any CRM or ATS with developer support
HubSpot, Salesforce, Pipedrive
Data warehouse support
Custom plan — warehouse ingestion available
Bulk CSV data feed available; REST API and webhooks for real-time delivery
-
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
-
-
Pricing model
Usage-based API credits with custom enterprise plans
Credit-based API consumption
Tiered annual subscription
Credit system
Credit-based; 100 credits on free trial; self-serve and custom plans scale with volume
Credits consumed per API call; volume tiers with discounts at scale
-
Tier structure
Free trial, Self-serve, Custom Enterprise
Free, Starter, Growth, Enterprise
Trial (free), Premium ($79/mo), Professional ($129/mo), Custom
Free trial details
30-day free trial with 100 credits; covers API and MCP access
Free plan with limited API calls; no time restriction mentioned
14-day free trial with access to core features
Budget commitment options
Custom enterprise plans with volume negotiation
Monthly or annual; bulk data delivery available for enterprises
Annual or monthly
Custom plans available
Bulk deals support
Resell rights
-
-
-

Pricing

Compare pricing models, flexibility, and commitment structure.

Pricing Dimension
Explorium
Crustdata
Ocean.io
Pricing Model
Usage-based with custom enterprise plans
Credit-based API consumption
Tiered annual subscription
Commitment Structure
One-time or custom; no mandatory annual lock-in on self-serve
Monthly or annual; enterprise plans negotiated directly
Annual commitment typical; trial available
Payment Recurrence
One-time or custom
Monthly or annual
Annual (monthly available)
Free Trial
30-day free trial with 100 credits; no credit card required
Free plan available with limited API calls — no credit card required
14-day free trial
Enterprise Customization
Yes — custom plans include CRM integrations, warehouse ingestion, resell rights, and dedicated support
Custom credit volume, SLA, webhook delivery, and bulk data feed options for enterprise
Custom pricing for larger teams and API access
Onboarding Model
Self-serve for API and MCP; dedicated onboarding for enterprise custom plans
Developer self-serve with documentation; enterprise onboarding supported by team
Self-serve trial; sales-assisted for enterprise; reported low ease-of-setup score on G2 (5.8)

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

Product Engineer, GTM Platform

"The API is clean, fast, and well-documented, which makes integration with existing workflows almost effortless. Crustdata delivers real-time updates instantly — this has been a game changer for us in lead generation, customer profiling, and market research."
Verified User for Crustdata
V

Verified G2 Reviewer

Account Executive, B2B SaaS

"The best thing I like about Ocean.io is that it generates leads which are similar to our current customers. So we can find customers which we know they need us and can directly target them."
Verified User for Ocean.io

Frequently Asked Questions

Is Crustdata better than Ocean.io?

It depends on your use case. Crustdata The first B2B data search engine built for AI agents — real-time people and company intelligence via clean, fast APIs Ocean.io The AI lookalike engine that turns your best customers into your best leads

What is the difference between Crustdata and Ocean.io?

See the feature-by-feature comparison above. In short: Crustdata focuses on The first B2B data search engine built for AI agents — real-time people and company intelligence via clean, fast APIs while Ocean.io focuses on The AI lookalike engine that turns your best customers into your best leads.

How much does Crustdata cost compared to Ocean.io?

Crustdata pricing model: Credit-based API subscription. Ocean.io pricing model: Tiered annual subscription.

Is Crustdata or Ocean.io 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 Crustdata?

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 Crustdata The first B2B data search engine built for AI agents — real-time people and company intelligence via clean, fast APIs

What is the difference between Explorium and Crustdata?

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 Crustdata focuses on The first B2B data search engine built for AI agents — real-time people and company intelligence via clean, fast APIs.

How much does Explorium cost compared to Crustdata?

Explorium pricing model: Usage-based with custom plans. Crustdata pricing model: Credit-based API subscription.

Is Explorium or Crustdata 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 Ocean.io?

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 Ocean.io The AI lookalike engine that turns your best customers into your best leads

What is the difference between Explorium and Ocean.io?

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 Ocean.io focuses on The AI lookalike engine that turns your best customers into your best leads.

How much does Explorium cost compared to Ocean.io?

Explorium pricing model: Usage-based with custom plans. Ocean.io pricing model: Tiered annual subscription.

Is Explorium or Ocean.io 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.

Is Crustdata a prospecting tool or a data infrastructure API?

Crustdata is fundamentally an API-first data infrastructure platform — not a traditional prospecting tool with a search UI. It is designed for developers and data engineers building products or workflows that need programmatic access to real-time company and people data. There is no built-in list-builder or export workflow for non-technical users. If your team needs a no-code prospecting interface, Crustdata should be integrated as the backend data layer of another tool.

What makes Crustdata's data different from static B2B databases?

Crustdata aggregates data continuously from live sources — LinkedIn, SEC filings, funding databases, Glassdoor, G2, web traffic services, and news aggregators — rather than relying on periodic database refreshes. This means company signals like headcount changes, executive moves, and funding announcements are available in near real-time via webhooks, rather than weeks or months later. The platform also offers a Web Search API that surfaces fresh, structured web documents on companies and people for LLM-ready intelligence.

What kinds of signals can I monitor with Crustdata webhooks?

Crustdata webhooks can notify your system in real time when tracked companies experience key events: funding announcements, headcount growth or decline (by department), executive hiring or departures, new job openings, product launches, significant news mentions, and web traffic changes. This enables trigger-based outreach — for example, automatically queuing an account for outreach the moment they raise a Series B or hire a new VP of Sales.

How does Crustdata compare to People Data Labs or Clearbit for API use cases?

Crustdata differentiates from People Data Labs (PDL) and Clearbit primarily through its depth of company growth signals and its explicit focus on AI-agent use cases. While PDL and Clearbit are strong for bulk contact enrichment and firmographic append, Crustdata layers on time-series headcount data, funding signals, web traffic trends, and a Web Search API — making it more suitable for dynamic, signal-driven workflows than static enrichment pipelines. Crustdata is also a newer, smaller company with less established enterprise support infrastructure.

Can Crustdata be used to find email addresses and phone numbers for outreach?

Crustdata's primary focus is company intelligence and people profile data — not deliverable email and phone lookups for cold outreach. While people profiles contain contact signals and professional information, Crustdata is not optimized for direct-dial or verified email delivery at the level of tools like UpLead or Apollo. Teams building AI outreach tools on Crustdata typically combine it with a contact data provider for verified emails and phone numbers.

What is Crustdata's Y Combinator backing and what does it mean for the product?

Crustdata is part of Y Combinator's Fall 2024 (F24) batch, having been founded in 2023 by Chris Pisarski, Abhilash, and Manmohit Grewal. The YC backing validates the team and mission but also reflects the company's early stage — it is still building out enterprise-grade support, compliance documentation, and product maturity. The YC network provides access to a relevant customer base of AI-native startups, which aligns well with Crustdata's positioning as infrastructure for AI agents.

Does Crustdata have a Claude Code Skill or Claude Plugin?

Not officially — Crustdata 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 Ocean.io's lookalike search differ from filtering by industry or SIC code?

Traditional filters like SIC codes and NAICS classifications are broad, standardized buckets that often group very different businesses together. Ocean.io's NLP model reads each company's own website language to understand what it actually does — its niche, market, and offering — and groups companies based on semantic similarity. This means two companies in the same SIC code might score very differently if one targets SMBs and the other targets enterprise, and a niche software company in a generic 'IT Services' bucket will be matched accurately to true peers.

What does Ocean.io's '98% CRM match rate' actually mean?

Ocean.io claims that 98% of the company profiles it returns can be matched to existing CRM records when syncing, indicating high data quality and clean company identification. This is relevant for deduplication — when you push a list of lookalike companies into HubSpot or Salesforce, 98% will correctly map to an existing or new account without manual intervention. It also reflects the consistency of company naming and domain standardization across the platform.

Can Ocean.io surface contacts beyond LinkedIn profiles?

Ocean.io's contact database is primarily sourced from LinkedIn with 250M+ profiles. The platform provides email addresses with a claimed 99% success rate and allows filtering by seniority, department, and job function to build a full buying committee view. Ocean.io does not aggregate contacts from as many data sources as dedicated enrichment tools like Apollo or ZoomInfo, but the quality is maintained by 25+ in-house data scientists.

Is Ocean.io suitable for companies with no existing customer data to train the lookalike model?

The lookalike model works best when seeded with real customer data from a CRM, but Ocean.io also allows users to manually input seed companies or define ICP criteria without a CRM connection. If you have fewer than 10 customers, the model's accuracy will be lower because it has less signal to work from. In those cases, using a manually curated seed list of known-good ICP companies (even from public sources) is a reasonable alternative to get started.

How does Ocean.io handle GDPR compliance for European contact data?

Ocean.io is both US and EU-GDPR compliant. The platform sources contact data through legitimate interest and public professional profiles, and applies data minimization principles to limit what is stored. The team includes compliance processes for data subject requests and does not store or expose personal data that was not provided through a compliant source. For teams in regulated European industries, Ocean.io's compliance posture is a meaningful differentiator over US-only tools.

Does Ocean.io have a Claude Code Skill or Claude Plugin?

Ocean.io 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.