Explorium vs Captain Data vs Specter

Objective, side-by-side analysis of Explorium, Captain Data, and Specter 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

Captain Data

4.7

The production-ready B2B data extraction API — 500M+ profiles, LinkedIn-native search, and a no-code automation builder for sales teams and developers

  • API
  • Free Trial
  • GDPR Compliance

Specter

The richest private-market data platform built for investment teams who need to find and win deals before the crowd

  • API
  • Free Trial

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

Captain Data

  • Sales Prospecting via API

    Search 500M+ professional profiles and 50M+ companies using LinkedIn Sales Navigator-compatible queries — delivered via a REST API with sub-500ms response time and 99% uptime SLA.

  • CRM & List Enrichment

    Enrich existing CRM records or prospect lists with verified emails, firmographics, tech stack, hiring trends, and funding data at scale — reducing SDR research time from 30 minutes to 2 minutes per prospect.

  • Product-Embedded Data

    Embed B2B data enrichment directly into SaaS products via a single REST integration — live in hours, not weeks. Trusted by Rippling, lemlist, and AiSDR for high-volume data pipelines.

Signals powering these use cases

  • LinkedIn Sales Navigator-compatible people search
  • Company search and enrichment
  • Verified email addresses
  • Technographic data (tech stack)
  • Hiring trends
  • Funding data
  • 90%+ coverage rate

Specter

  • Deal Sourcing & Signal Detection

    Specter monitors 50M+ private companies for growth signals — headcount surges, web traffic spikes, and investor interest patterns — and surfaces them as real-time alerts. Investors can set saved searches to be notified the moment a target company hits a threshold, enabling proactive outreach before a funding round is announced.

  • Startup Qualification & Due Diligence

    With 250+ enriched data points per company — from verified revenue signals to tech stack, hiring velocity, and funding history — investment teams can quickly qualify or disqualify startups without manual research. The market's only real-time startup revenue tracker is AI and human-verified.

  • Founder & Investor Intelligence

    Specter's investor database covers 300K+ VCs and angel investors with real-time interest signals. Teams can identify co-investors, track which firms are circling a sector, and map founder networks — reducing time on LinkedIn and accelerating founder outreach.

Signals powering these use cases

  • Headcount Surge
  • Web Traffic Surge
  • Social Followers Surge
  • Top Tier Investor Activity
  • Funding Round Prediction
  • Talent Movement
  • Revenue Signal (AI + human verified)

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

Captain Data Snapshot

  • Company coverage 3.0
  • Signals depth 2.5
  • Freshness 3.0

Specter Snapshot

  • Company coverage 3.1
  • Signals depth 4.1
  • Freshness 2.5

Detailed Feature Comparison

Side-by-side analysis of Explorium, Captain Data, and Specter across data coverage, platform capabilities, and technical specifications.

Feature Comparison
Explorium
Captain Data
Specter
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; sub-500ms response time; 99% uptime SLA
Full API with unified endpoint for companies, people, investors, deals
SLA
Up to 99.999% uptime; rate limit 200 requests/min per key
99% uptime SLA
-
Compliance
GDPR, SOC 2, CCPA, ISO 27001
GDPR, SOC 2 Type II
-
Custom Entities
-
Real-time Lookups
Global Coverage
150M+ companies and 800M+ contacts across 150+ countries
50M+ companies and 500M+ contacts globally
Global private company coverage
CRM Integration
Available on custom enterprise plans
HubSpot via Make integration; API for others
API-based CRM and data warehouse sync
Platform interface
REST JSON API, MCP server (AgentSource MCP), batch support up to 100 entities, webhooks, sync and async modes
REST API, no-code workflow builder, Make (no-code) integration
Web app, API, CRM sync, data warehouse
Natural language search
Workflow automation
Automation integrations
n8n, Claude, custom webhook integrations
Make (Technology Partner), API, webhook support
-
Company coverage
150M+ company profiles
50M+ companies
50M+ private companies
People coverage
800M+ people profiles (767M+ verified contacts)
500M+ professional profiles
500M+ people profiles
Geographic coverage
150+ countries
Global; strong US and EU coverage
Global
Data sources type
50+ data providers; proprietary ML enrichment; real-time web signals
Proprietary data extraction infrastructure; LinkedIn Sales Navigator-compatible
Proprietary crawling, public signals, AI-verified revenue data, investor activity aggregation
Global schema consistency
Unified schema across 4,000+ data points globally; consistent API response structure
Consistent REST JSON API; unified schema across endpoints
Unified schema across company, people, investor, and deal data
Refresh frequency
Daily for high-velocity signals; weekly for semi-dynamic attributes; monthly/quarterly for stable firmographics
On-demand extraction; 90%+ coverage rate
Real-time for signals; continuous crawling
Business enrichments
Company size, revenue, industry, tech stack, funding stage, headcount trends, competitive landscape, website traffic
Company size, industry, tech stack, funding data, hiring trends, LinkedIn URL
Revenue signals, funding rounds, M&A events, tech stack, legal/compliance data
Prospect enrichments
Job title, seniority, verified email, phone, LinkedIn URL, job history, people events
Verified email, job title, seniority, LinkedIn profile, company affiliation
Verified emails, work history, social profiles
Enrichment categories
Firmographics, technographics, intent, funding, events, contact, website signals, lookalikes
People data, company data, emails, tech stack, hiring trends, funding
Revenue, headcount, tech stack, funding history, web traffic, investor signals, talent movements
Intent data
-
Event signals
Company events (20+ types), people events (5+ types), funding rounds, acquisitions, hiring surges
Hiring trends, funding signals
Funding rounds, M&A, headcount surges, web traffic surges, social follower surges, investor interest
Technographics
Hiring and growth signals
Matching precision
98% company accuracy; 95% people accuracy
90%+ coverage rate claimed
-
Confidence scoring
-
Validation methodology
Advanced ML-based deduplication; 98%+ company accuracy; 95% people accuracy
GDPR compliant, SOC 2 Type II certified
AI + human verification for revenue signals
Deduplication logic
Advanced ML-based deduplication across 50+ data providers
-
-
API availability
QPS performance
Up to 100 QPS; 200 requests/min per API key
Sub-500ms average response time; 99% uptime SLA
-
CRM integrations
Custom plan — CRM integrations available
HubSpot (via Make integration confirmed)
Salesforce, HubSpot (via API/integrations)
Data warehouse support
Custom plan — warehouse ingestion available
-
Cloud storage bucket delivery 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
-
-
SLA uptime
Up to 99.999% uptime SLA
99% uptime SLA
-
Pricing model
Usage-based API credits with custom enterprise plans
Credit-based per record (no seat fees)
Custom enterprise
Credit system
Credit-based; 100 credits on free trial; self-serve and custom plans scale with volume
1 credit per record collected or enriched; base rate €59.99/1K credits with volume discounts
-
Tier structure
Free trial, Self-serve, Custom Enterprise
Free, Growth (~$399/mo), Scale (~$999/mo), Enterprise
Not publicly disclosed
Free trial details
30-day free trial with 100 credits; covers API and MCP access
100 free credits on signup
Complimentary trial post-demo
Budget commitment options
Custom enterprise plans with volume negotiation
Monthly or enterprise volume negotiation
-
Custom plans available
Bulk deals support
Resell rights
-
-
-

Pricing

Compare pricing models, flexibility, and commitment structure.

Pricing Dimension
Explorium
Captain Data
Specter
Pricing Model
Usage-based with custom enterprise plans
Credit-based per record, no seat fees
Custom enterprise subscription
Commitment Structure
One-time or custom; no mandatory annual lock-in on self-serve
Monthly; Enterprise custom
Annual contracts typical for investment firm customers
Payment Recurrence
One-time or custom
Monthly
Free Trial
30-day free trial with 100 credits; no credit card required
100 free credits on signup; no credit card required
Complimentary trial available after demo
Enterprise Customization
Yes — custom plans include CRM integrations, warehouse ingestion, resell rights, and dedicated support
Yes — custom pricing, dedicated support, SLA
Data delivery via API, CRM sync, or data warehouse depending on plan
Onboarding Model
Self-serve for API and MCP; dedicated onboarding for enterprise custom plans
Self-serve API; Make Technology Partner for no-code; enterprise dedicated support
Sales-assisted; demo required to activate trial

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

Sales Operations, B2B SaaS

"Captain Data cut our SDR research time from 30 minutes to 2 minutes per account — the LinkedIn-compatible API just works with our existing workflows."
Verified User for Captain Data
V

Verified Customer

Partner, Venture Capital Fund

"In a short period of time, Specter has become an integral part of how we ensure we have 100% coverage of the markets we operate in. Specter repeatedly stands out with its highly differentiated UX and comprehensive data."
Verified User for Specter

Frequently Asked Questions

Is Captain Data better than Specter?

It depends on your use case. Captain Data The production-ready B2B data extraction API — 500M+ profiles, LinkedIn-native search, and a no-code automation builder for sales teams and developers Specter The richest private-market data platform built for investment teams who need to find and win deals before the crowd

What is the difference between Captain Data and Specter?

See the feature-by-feature comparison above. In short: Captain Data focuses on The production-ready B2B data extraction API — 500M+ profiles, LinkedIn-native search, and a no-code automation builder for sales teams and developers while Specter focuses on The richest private-market data platform built for investment teams who need to find and win deals before the crowd.

How much does Captain Data cost compared to Specter?

Captain Data pricing model: Credit-based, no seat fees. Specter pricing model: Demo-gated, subscription (pricing not publicly disclosed).

Is Captain Data or Specter 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 Captain Data?

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 Captain Data The production-ready B2B data extraction API — 500M+ profiles, LinkedIn-native search, and a no-code automation builder for sales teams and developers

What is the difference between Explorium and Captain Data?

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 Captain Data focuses on The production-ready B2B data extraction API — 500M+ profiles, LinkedIn-native search, and a no-code automation builder for sales teams and developers.

How much does Explorium cost compared to Captain Data?

Explorium pricing model: Usage-based with custom plans. Captain Data pricing model: Credit-based, no seat fees.

Is Explorium or Captain Data 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 Specter?

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 Specter The richest private-market data platform built for investment teams who need to find and win deals before the crowd

What is the difference between Explorium and Specter?

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 Specter focuses on The richest private-market data platform built for investment teams who need to find and win deals before the crowd.

How much does Explorium cost compared to Specter?

Explorium pricing model: Usage-based with custom plans. Specter pricing model: Demo-gated, subscription (pricing not publicly disclosed).

Is Explorium or Specter 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 Captain Data require a LinkedIn account or Sales Navigator subscription?

No. Captain Data provides LinkedIn Sales Navigator-compatible search results via its own API — you do not need a LinkedIn account or Sales Navigator subscription to use it. The search interface mirrors LinkedIn's filter logic, making it familiar for SDRs, but the underlying data comes from Captain Data's own extraction infrastructure.

How does Captain Data's pricing compare to Apollo or ZoomInfo?

Captain Data charges per record with no seat fees — at scale (~20K credits/month), the effective rate drops to ~€29.99/1K credits. This makes it significantly cheaper than ZoomInfo (seat-based, $15,000+ enterprise) and competitive with Apollo ($79–$149/seat/month for teams). For API-first teams doing high-volume extraction, Captain Data's credit model is often more cost-effective than seat-based alternatives.

Does Captain Data have a Claude Code Skill or Claude Plugin?

Captain Data lists an MCP integration on their website, but does not currently have an official Claude plugin or dedicated Claude Code 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.

Is Captain Data or Explorium better for Claude Code and Codex?

For Claude Code and Codex 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 B2B prospecting inside Claude Code. Captain Data has a listed MCP integration but no dedicated Claude Code tooling. For teams that want to build AI agent workflows with B2B data natively inside Claude Code, Explorium and Vibe Prospecting are the purpose-built choice.

How does Specter's startup revenue tracker work and how is it verified?

Specter combines AI-driven signals — such as payment processor integrations, job posting language, and web commerce patterns — with human analyst verification to estimate and track startup revenue. Unlike self-reported figures on Crunchbase, each signal goes through a dual-validation step before being surfaced, making it the only real-time revenue tracker in the private markets category.

What makes Specter's funding prediction signals actionable?

Specter analyzes the online and social activity of leading investors and industry insiders to detect clustering interest before a round is formally announced. When multiple top-tier investors begin following, engaging with, or researching the same startup, Specter flags it as a funding probability signal — giving users a window to reach out to founders before a term sheet is signed.

Can Specter be used for B2B sales prospecting, or is it only for investors?

While Specter is primarily positioned for investment teams, GTM teams selling into startups and high-growth companies can use it for account prioritization. The platform's headcount growth, funding history, and tech stack data are directly applicable to sales qualification. However, teams needing broad contact-level outreach (emails, phones at scale) would need to supplement Specter with a dedicated enrichment tool.

How does Specter compare to Crunchbase and PitchBook for deal sourcing?

Crunchbase and PitchBook are strong for historical funding data and company profiles, but they are largely reactive — data appears after events are announced. Specter differentiates through predictive signals and real-time monitoring: headcount surges, investor interest clustering, and verified revenue signals surface opportunities before they are public. For proactive deal sourcing, Specter's signal layer is a meaningful complement or alternative.

What does Specter's API deliver and how is it typically integrated?

Specter's unified API provides access to all datasets — companies, people, investors, funding events, talent signals, and strategic signals — through a single endpoint. Common integrations include syncing to Salesforce or HubSpot for deal pipeline management, pushing data to a Snowflake or BigQuery warehouse for custom analytics, or building automated sourcing workflows where new signal matches trigger Slack notifications or CRM entries.

Does Specter have a Claude Code Skill or Claude Plugin?

Specter 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.