Explorium

Explorium is a B2B data platform that connects AI agents and go-to-market teams to a unified dataset of business, professional, and geospatial records through a single API.

The platform aggregates more than 146 million business entities, 767 million professional profiles, and 4,000 data signals from over 100 sources, then harmonizes them into structured records that language models and agent workflows can query directly.

It is best suited for GTM engineers, AI SDR builders, and enterprise sales and marketing teams that need programmatic access to prospect data rather than a list-building interface, with a free trial that includes 100 credits.

Some tools that are similar to Explorium are Clay, ZoomInfo, Apollo, Cognism and Lusha.

Top Features

• Unified dataset covering 146M+ business entities, 767M+ professional profiles, and 90M+ geospatial datapoints
• 4,000+ prebuilt data signals aggregated from more than 100 sources
• MCP Server that exposes the dataset to AI assistants and agent frameworks
• API designed for agent consumption rather than manual list exports
• Natural language querying so agents can request records without a rigid filter schema
• Automated target discovery and account identification for GTM workflows
• Custom signal generation for account scoring and trigger-based outreach
• GDPR, CCPA, SOC 2, and ISO 27001 compliance certifications

Pricing

Explorium prices on credits rather than seats, with all plans sold as prepaid packages.

The free trial costs nothing and includes 100 credits valid for 90 days.

The Starter plan costs $99.99 and includes 2,500 credits, which works out to roughly $0.04 per credit.

The Growth plan costs $749.99 and includes 25,000 credits at roughly $0.03 per credit.

The Scale plan costs $7,499.99 and includes 500,000 credits at roughly $0.015 per credit.

Enterprise pricing is custom and adds volume discounts, higher queries per minute, search preview, resell rights, custom CRM integrations, and a dedicated customer success manager.

Credits on paid plans expire after 12 months and do not roll over. Packages are non-refundable and do not renew automatically, so teams need to track their own usage and top up through the admin console when a package runs out.

How Explorium Works

Explorium is structured as a data layer rather than a prospecting front end.

Instead of logging in to build a list and export a CSV, teams connect to the dataset through an API, an MCP Server, or a CRM integration, then query it from whatever system already runs their outbound.

The dataset itself is assembled by pulling from more than 100 external sources and resolving them into a single entity graph, so a company record carries its firmographics, its people, its locations, and its signals under one identifier.

That entity resolution is the part that matters for agent workflows. An agent asking for mid-market logistics companies in Texas that recently posted warehouse roles needs firmographic, geospatial, and hiring data joined together, not three separate exports to reconcile.

Natural language querying sits on top of this. Rather than constructing filter objects, an agent can describe the audience it wants and receive matching records back.

Credits are consumed per record returned, which means the cost model scales with data pulled rather than with the number of people on the team.

What Explorium Is Not Built For

Explorium is a data platform, not an outreach tool. It does not send email, run sequences, warm inboxes, or manage replies.

Teams that want an all-in-one system where data and sending live together will need to pair it with a sending platform like Instantly, Smartlead or Lemlist.

It is also not the obvious pick for a solo founder or a small team that just wants to pull a few hundred contacts and start emailing. The credit packages start at $99.99 and the value of the platform is in programmatic access, which assumes someone on the team is comfortable working with an API or an agent framework.

Prepaid credits that expire after 12 months and do not roll over are worth factoring in as well, particularly for teams with uneven outbound cycles.

Explorium and Vibe Prospecting

Vibe Prospecting is Explorium's own product, built on the same underlying dataset.

Where Explorium is the API and data layer, Vibe Prospecting is the conversational interface, letting users query the same records from inside an AI chat window including through a Claude connector.

Teams evaluating Explorium should look at both. If the goal is embedding data into an existing pipeline, the Explorium API is the right entry point. If the goal is letting a sales team build lists conversationally without writing code, Vibe Prospecting covers that use case on the same data.

Who Uses Explorium

Explorium positions itself at the enterprise and GTM engineering end of the market, and names PepsiCo, Taboola, and Outreach among its customers.

The use cases it markets are AI SDR applications, marketing campaign targeting, GTM engineering, and recruiting.

That customer profile is reflected in the review pattern. Explorium rates well with B2B buyers on G2 and Capterra, where reviewers are evaluating data coverage and API quality.

Its Trustpilot rating tells a different story, sitting at 1.7 from 33 reviews. Those reviews come largely not from customers but from individuals whose personal data appeared in the database, raising GDPR concerns and difficulty with opt-out requests.

This split is common across the B2B data category rather than unique to Explorium. Lusha and RocketReach show the same pattern, both rating above 4.3 on G2 while sitting at 1.2 on Trustpilot.

Buyers should read the two sources as measuring different things. G2 and Capterra reflect the purchasing experience, while Trustpilot reflects how the company handles the people inside its dataset.

Explorium vs. Traditional Sales Databases

Traditional sales intelligence platforms like ZoomInfo and Apollo are built around a seat-based interface where a rep logs in, filters, and exports.

Explorium inverts that. There is no meaningful product without the API or an agent calling it, and pricing is per credit rather than per seat.

For a team running conventional outbound with reps working lists by hand, ZoomInfo or Apollo will feel more complete because they bundle sequencing, dialing, and CRM sync.

For a team building an AI SDR, enriching records inside a warehouse, or feeding an agent that needs joined firmographic and signal data, the API-first model removes an export step that would otherwise sit in the middle of the workflow.

Clay is the closest comparison on approach, since both are built for GTM engineers who assemble data programmatically. The practical difference is that Clay orchestrates across many third-party providers you supply, while Explorium sells access to its own resolved dataset.