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
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Objective, side-by-side analysis of Explorium, Aviato, and Demandbase to help you evaluate features, pricing, and performance and find the perfect fit for your data needs.
The unified B2B data API and MCP suite — 150M+ companies, 800M+ contacts, 4,000+ data points, and native AI agent integration in one platform
The fastest, deepest, and most accurate intelligence layer for people and companies — with near-daily data refresh
The only B2B-native DSP and ABM platform that unifies account intelligence, advertising, and sales orchestration in a single go-to-market system
Compare the core applications and workflows each provider specializes in.
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.
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.
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.
Aviato's REST API delivers detailed individual-level data — contact information, skills, work history, and social profiles — alongside deep company data including financials, web traffic, tech stack, and industry classification. Near-daily refresh rates ensure that data in automated pipelines reflects current reality, not stale snapshots from quarterly crawls.
Aviato surfaces proprietary signals not available in traditional data tools: company credit card revenue estimates, employee vesting schedules, and real-time tracking of where top engineers are moving. Early customers include NEA, Republic Capital, and 8VC, who use the platform to source and qualify early-stage startups before they appear on Crunchbase or PitchBook.
As a native Clay integration, Aviato enriches contact and company records within Clay tables — finding professional profiles, personal emails, normalizing locations, and analyzing private companies through financial enrichment and acquisition history. This makes it particularly useful for growth teams building AI-augmented outreach workflows that require the freshest possible underlying data.
Run hyper-targeted B2B ad campaigns via Demandbase's native DSP — the only demand-side platform built exclusively for B2B — with account-level precision and measurable pipeline attribution.
Layer first-party site behavior with third-party intent signals to score and rank target accounts, enabling sales teams to focus on the accounts most likely to convert right now.
Use nine AI agents (launched 2025) to automate account research, buying group identification, and multi-channel engagement sequences — keeping marketing and sales aligned from first touch to closed-won.
Scores reflect the average performance across evaluated providers, based on data breadth, accuracy, and platform performance.
Side-by-side analysis of Explorium, Aviato, and Demandbase across data coverage, platform capabilities, and technical specifications.
Compare pricing models, flexibility, and commitment structure.
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."
Partner, Early-Stage Venture Fund
"Aviato is an essential tool for anyone looking to source, qualify, and engage the most promising startups at their earliest stage, with a robust dataset derived using proprietary methods that delivers actionable insights to uncover previously unseen founders and companies."
ABM Manager, Enterprise B2B Technology
"I use Demandbase One daily to review intent data across our target accounts and find it incredibly valuable in identifying insights that help build and progress the sales pipeline. The team feels like an extension of our own — they're hands-on, collaborative, and always pushing us forward on ABM innovation."
It depends on your use case. Aviato The fastest, deepest, and most accurate intelligence layer for people and companies — with near-daily data refresh Demandbase The only B2B-native DSP and ABM platform that unifies account intelligence, advertising, and sales orchestration in a single go-to-market system
See the feature-by-feature comparison above. In short: Aviato focuses on The fastest, deepest, and most accurate intelligence layer for people and companies — with near-daily data refresh while Demandbase focuses on The only B2B-native DSP and ABM platform that unifies account intelligence, advertising, and sales orchestration in a single go-to-market system.
Aviato pricing model: Usage-based API (pricing not publicly disclosed). Demandbase pricing model: Custom enterprise contract with platform fee plus per-user seats.
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.
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 Aviato The fastest, deepest, and most accurate intelligence layer for people and companies — with near-daily data refresh
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 Aviato focuses on The fastest, deepest, and most accurate intelligence layer for people and companies — with near-daily data refresh.
Explorium pricing model: Usage-based with custom plans. Aviato pricing model: Usage-based API (pricing not publicly disclosed).
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.
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 Demandbase The only B2B-native DSP and ABM platform that unifies account intelligence, advertising, and sales orchestration in a single go-to-market system
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 Demandbase focuses on The only B2B-native DSP and ABM platform that unifies account intelligence, advertising, and sales orchestration in a single go-to-market system.
Explorium pricing model: Usage-based with custom plans. Demandbase pricing model: Custom enterprise contract with platform fee plus per-user seats.
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.
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.
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.
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.
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.
High-velocity signals (intent, events, hiring) refresh daily. Semi-dynamic attributes refresh weekly. Stable firmographic fields refresh monthly or quarterly.
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.
Most B2B data providers refresh their datasets monthly or quarterly due to the computational cost of continuous crawling and validation. Aviato re-processes key data signals on a near-daily basis, meaning that when you query a person or company, you're seeing data that reflects their current state — not their state from 90 days ago. This matters significantly for tracking fast-moving signals like engineer movements between companies or headcount changes at startups, where stale data leads to missed opportunities.
Aviato does not publicly disclose the methodology behind its credit card revenue estimates. Based on what's known, the signals are derived from a combination of proprietary data partnerships, payment ecosystem data, and AI modeling applied to observable company signals (transaction volume indicators, web commerce patterns, job postings related to finance roles). These are estimates, not verified figures, and should be used as directional signals rather than audited financials.
Yes. Aviato has a native integration with Clay, which means growth teams and operators who use Clay for workflow orchestration can access Aviato's data through Clay's no-code interface without building a direct API integration. In Clay, Aviato appears as a selectable data provider and can be used to enrich people and company fields within any Clay table. This is the primary non-API access path available today.
People Data Labs and Clearbit have larger, more established datasets with broader geographic coverage and stronger enterprise track records. Aviato's differentiator is data freshness and its unique private-market signals — vesting schedules, credit card revenue, and engineer movements — that PDL and Clearbit do not provide. For teams that need the deepest available coverage on the most common B2B profiles, PDL or Clearbit may offer better recall. For teams that specifically need current, high-signal data on the private tech ecosystem, Aviato's freshness and proprietary signals make it the stronger choice.
Aviato's stated early customers include NEA, Republic Capital, and 8VC — all venture capital firms. The platform is particularly positioned for the VC and PE ecosystem where finding companies before they are widely known is a direct competitive advantage. That said, the Clay integration and the general people and company API attract growth teams at tech companies who need fresh enrichment for outbound and ABM workflows. Given the company's early stage (33 employees, founded 2021), the customer base is still concentrated in the investment sector.
Aviato 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.
Demandbase One is a unified go-to-market platform that combines account intelligence, intent data, a native B2B DSP for advertising, ABM orchestration, and sales intelligence in a single system. Legacy ABM platforms typically required integrating separate tools for advertising (a third-party DSP), intent data (e.g., Bombora), and sales engagement. Demandbase's core differentiation is operating its own demand-side platform purpose-built for B2B — enabling account-targeted advertising with first-party data without relying on a general-purpose DSP that lacks B2B account matching capabilities.
Demandbase has its own intent data layer (combining first-party and third-party signals) and its own account intelligence database, so it can replace both Bombora and basic ZoomInfo use cases for many customers. However, some enterprise customers run Bombora intent data alongside Demandbase to augment the co-op signal breadth. Demandbase also integrates with Bombora natively if customers want to layer in its publisher co-op data. For contact-level prospecting at scale, many teams still supplement with ZoomInfo or Apollo for direct dials and verified emails.
Demandbase's native DSP is designed specifically for B2B account targeting. Unlike LinkedIn, which targets based on individual profile attributes, or general programmatic DSPs that use cookie-based audience segments, Demandbase's DSP uses its proprietary B2B account graph to match IP addresses and device signals to company accounts — then targets those accounts across open web inventory. This enables precise B2B account targeting outside of LinkedIn at lower CPMs, while maintaining account-level reporting rather than impression-level metrics. Campaign setup currently requires collaboration with Demandbase's team rather than being fully self-serve.
Demandbase launched nine AI agents in 2025 to automate key GTM tasks. While Demandbase has not published an exhaustive public list of all nine agents, they are designed to accelerate B2B pipeline growth by automating account research, buying group identification, intent signal summarization, account prioritization recommendations, and engagement workflow triggers. The agents connect marketing and sales data to reduce manual work and help teams act faster on account intelligence signals.
Generally, no. Demandbase's platform complexity, pricing, and required onboarding investment make it better suited for organizations with existing ABM processes, CRM infrastructure, and dedicated marketing operations staff. Companies just beginning to explore ABM would likely find more immediate value in lower-cost entry points (like HubSpot ABM features or LinkedIn's native account targeting) before investing in an enterprise platform. Demandbase is most impactful when an organization has already defined its ICP, aligned marketing and sales on a shared account list, and is ready to scale coordinated multi-channel execution.
Demandbase holds SOC 2 Type II certification and achieved ISO 27001:2022 certification in 2024, with a successful surveillance audit completed in February 2025 — placing it among the small number of ABM vendors with ISO 27001:2022 specifically (not just the older 2013 version). It is GDPR and CCPA compliant, and supports data subject rights requests. These certifications make Demandbase's security posture comparatively strong for enterprise vendor security reviews and procurement processes.
Not officially — Demandbase 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.