Explorium Shutting Down? Here Are Your Best Alternatives 2026

Explorium is shutting down, and we want to start with a word of respect for what the team built over almost nine years. Congratulations to CEO Omer Har and the entire Explorium team on a run that helped shape how companies use B2B data, including through AgentSource and Vibe Prospecting. Explorium has been an inspiration to us at PredictLeads, pushing us to compete harder and to take our product and engineering work as far as we can.

Now for the practical part. You’ve got a hard deadline: Explorium shuts down for good on December 2, 2026, and whatever you haven’t exported by then is gone. That kind of pressure makes it tempting to grab the first explorium alternative that looks familiar, but Explorium bundled company intelligence with contact finding, and most replacements only cover one side of that. Knowing which half of your workflow each tool actually replaces will save you from a second migration a few months from now.

TLDR:

  • Explorium shuts down December 2, 2026, with account data deleted by December 31.
  • Export AgentSource and Vibe Prospecting data now, since exports stop at shutdown.
  • No single provider covers everything Explorium did, so most teams pair a company data provider with a separate contact tool.
  • PredictLeads offers firmographics, hiring, technographics, news, and financing data back to 2018, with native Model Context Protocol (MCP) support and no contact data layer.
  • Coresignal, People Data Labs, Crustdata, and Apollo each cover a narrower slice, from identity resolution to contact search, instead of the full signal set.

Explorium Is Shutting Down: What Happens Next?

Explorium’s founders announced on November 3, 2026, that the company is ceasing operations after almost nine years, according to its farewell announcement, and both AgentSource and Vibe Prospecting will stop working on December 2, 2026, according to the company’s official shutdown notice. If you are a customer, the clock is already running. Billing stopped the day of the announcement, exports remain available only until the December 2 shutoff, and unused credits get refunded within 30 days once accounts close.

If you need a place to land, PredictLeads is worth testing now instead of later. It is an API-first company intelligence provider, and you can start pulling data within minutes using free credits, no migration project required.

Here is the timeline to keep in mind:

  • November 3, 2026: Shutdown announced, billing stopped
  • December 2, 2026: AgentSource, Vibe Prospecting, and data exports end
  • December 31, 2026: Account data deleted

The underlying need, finding and understanding companies at scale through B2B data enrichment, is not going anywhere. You just need a new source of record before December 2.

What to Look for in an Explorium Alternative

Before picking a replacement, it helps to define what you are actually replacing. Explorium bundled company intelligence with contact finding, and most tools on the market only cover one side. Use this rubric to assess candidates:

  • Firmographic data: core company facts such as name, location, size, revenue range, industry codes, and corporate hierarchy.
  • Discovery and ICP targeting: the ability to filter and search a database of companies by location, size, industry, or other attributes to build a target list from scratch.
  • Technographic data: evidence of which technologies a company uses or has recently used, detected through website code, DNS records, or job postings.
  • Hiring and business-event signals: job openings, funding rounds, leadership changes, and other timed events that indicate budget or buying windows.
  • Contact enrichment: finding named people at a company along with emails or phone numbers.
  • AI agent and MCP support: whether the provider exposes data through Model Context Protocol (MCP) so AI agents can query it conversationally.
  • API quality and documentation: clear schemas, predictable rate limits, and an OpenAPI spec you can test against before committing, look for a Postman collection or sandbox API key you can test within minutes.
  • Delivery options: API, flat files, webhooks, and MCP, since a data engineering team and a sales team usually need different formats.
  • Pricing and migration ease: credit structures, minimums, and how quickly you can get usable data without a drawn-out sales cycle.

No single provider on the market replicates everything Explorium covered. That is the realistic starting point. Most teams end up pairing a company intelligence provider for firmographic, technographic, and event data with a separate contact data source for names and emails, instead of expecting one tool to do both well.

Best Explorium Alternatives in 2026

PredictLeads

PredictLeads is a B2B company intelligence and technographic data provider delivering structured, source-backed datasets through API, flat files, webhooks, and MCP. Four things set it apart:

  • Multi-signal coverage: firmographics, hiring, technographics, news, financing, connections, and website evolution in one API, instead of separate tools for each.
  • Point-in-time data with historical depth back to 2018 for Job Openings, so you can track change over time, beyond a current snapshot.
  • Evidence-based technographic detection sourced from scripts, DNS records, cookies, and job descriptions, each traceable to its original source.
  • Native MCP support, so AI agents can query company data conversationally instead of relying on a separate integration layer.

PredictLeads fits GTM teams building target lists, developers building enrichment pipelines, market intelligence analysts tracking competitors, and investors who need structured company signals instead of a contact database. For teams replacing Explorium’s company intelligence and signal use cases, it is the strongest overall fit.

Coresignal

Coresignal is a data provider offering large-scale company and employee datasets, commonly accessed through APIs and bulk datasets for enrichment and workforce analytics. Based on its third-party marketplace listing, it offers company and employee profile datasets with bulk delivery, suited to teams building large-scale people and firmographic datasets for internal analytics. That listing describes Coresignal primarily around static profile and headcount data, not categorized business-event signals like financing, partnerships, or leadership changes, the kind GTM teams use for timing outreach. Teams that need both firmographic depth and timed activity signals in one API should look to PredictLeads.

People Data Labs

People Data Labs is a data provider known for its Person API and Company API, used mainly for identity resolution and enrichment by teams building their own matching pipelines. It offers bulk person and company data access, identity resolution tooling, and API delivery suited to data engineering teams doing large-scale identity matching. Identity-resolution-focused providers are generally positioned around static profile attributes instead of day-to-day company activity such as hiring surges, technology adoption, or funding events. Teams that need ongoing company-level signal tracking, beyond identity matching, should look to PredictLeads alongside or instead of People Data Labs.

Crustdata

Crustdata is a data provider known for near real-time company and people data feeds, often sourced from public web and professional network signals, aimed at growth and RevOps teams. It offers real-time change tracking APIs, company and people search, and delivery built for fast-moving growth teams that want headcount and firmographic change alerts. As a newer entrant, its dataset breadth and historical depth are generally narrower than providers that have tracked signals like job openings and technology detections since 2018. PredictLeads offers a longer historical baseline and a wider dataset set, including financing, connections, website evolution, and GitHub repositories, alongside real-time updates.

Apollo (For Contact-Based Prospecting)

Apollo is a sales engagement and prospecting tool built around a contact database, email sequencing, and dialer features, distinct from company intelligence data providers. It offers contact search, outreach sequencing, and CRM-adjacent workflows for teams that need direct-dial and email contact coverage alongside outreach tooling, which falls outside PredictLeads’ scope as a data provider. Contact-first tools are not built as multi-signal company data APIs with historical job postings, technographics, or financing event tracking. Pair Apollo’s contact layer with PredictLeads’ company signal layer instead of expecting either to cover both.

Feature Comparison: Explorium vs Top Alternatives

Provider

Primary Use Case

Company Intelligence

Contact Data

Buying and Activity Signals

API Access

MCP Support

Best-Fit Customer

Explorium (shut down December 2, 2026)

Combined company intelligence and contact finding via AgentSource and Vibe Prospecting

Had firmographic and company search

Had contact finding built in

Had some event-based filtering

Had API access

Not supported

Teams needing a bundled tool, now searching for a replacement

PredictLeads

Multi-signal company intelligence for GTM, developer, and investor use cases

Firmographics, technographics, hiring, financing, news, connections, website evolution

Not offered, pair with a contact provider

Hiring, financing, news events, and technology detections back to 2018

Full REST API, flat files, webhooks

Native support

Teams needing historical, multi-signal data across GTM, data, and investment use cases

Coresignal

Large-scale company and employee profile data for workforce analytics

Company and employee profiles, job postings

Employee profile data available

Limited, focused on headcount instead of categorized events

API and bulk datasets

Not supported

Teams building large-scale people and firmographic datasets

People Data Labs

Identity resolution and enrichment for internal matching pipelines

Company and person profile attributes

Person and company identity data

Limited, not built around timed activity signals

Person API and Company API

Not supported

Data engineering teams doing large-scale identity matching

Crustdata

Near real-time company and people data for growth teams

Company and people search with change tracking

Contact data included

Headcount and firmographic change alerts

Real-time APIs

Not supported

Growth and RevOps teams wanting fast change alerts

Apollo

Sales engagement and contact-based prospecting

Limited, contact-first database

Direct-dial and email contact coverage

Not a focus, built around outreach workflows

API available

Not supported

Teams needing contact search paired with outreach sequencing

A few patterns stand out once the rows sit side by side. Explorium’s row only has a past tense, a reminder that whatever it covered will not be queryable after December 2, 2026. Among the active providers, PredictLeads is the only one pairing historical depth back to 2018 with native MCP support, which matters if you are building AI agent workflows beyond CRM enrichment alone. Contact data is the other dividing line: PredictLeads, Coresignal, and People Data Labs skip it by design, while Apollo and Crustdata build around it. If your stack needs both company signals and named contacts, plan on pairing two providers.

Why PredictLeads Is a Strong Explorium Alternative

PredictLeads’ structural difference from single-category providers is breadth tied to depth. Instead of one dataset bolted onto a contact finder, you get firmographics, hiring, technographics, news, financing, connections, website evolution, GitHub activity, and products in a single API, each timestamped and traceable back to its source. For anyone migrating off Explorium, that matters because you are replacing several feeds at once, not one.

A clean, modern abstract illustration representing interconnected business data signals: a central network of nodes and lines connecting icons representing company buildings, hiring charts, technology circuits, and financial growth arrows, in a professional blue and teal color palette, flat vector style, no text or letters anywhere in the image

Company and Firmographic Data

The Companies dataset tracks over 135 million companies across 195 countries, with over 30 attributes per record updated daily, including location data, North American Industry Classification System (NAICS) codes, revenue ranges, and corporate hierarchy. This is the baseline layer for ICP matching and CRM enrichment.

Job Openings and Hiring Signals

The Job Openings dataset holds over 284.4 million historical records since 2018, covering over 3 million companies, tagged with Occupational Information Network (O*NET) occupation codes and seniority levels. Sales development hiring can point to fresh outbound budget; senior engineering hiring can point to a product build cycle, and patterns across our September 2026 tech hiring hubs ranking can show where that demand concentrated at the time. Data refreshes roughly every 36 hours.

Technology Detections

Technology Detections provide evidence of which technologies a company uses or has recently used, drawn from website scripts, DNS records, cookies, and job descriptions across over 98 million domains. Use this to build integration-targeting lists or flag competitor displacement angles, a common reason teams also compare Wappalyzer alternatives for tech stack data. A missing detection does not confirm removal: treat gaps as inconclusive, a caveat worth keeping in mind when assessing any BuiltWith alternative as well.

News and Financing Events

News Events cover over 10.4 million signals across 46 categories, each a possible timing cue. Financing Events, with over 216,700 records since 2016, isolate funding activity many teams use as a trigger. Category definitions for both are documented at docs.predictleads.com.

Similar Companies and Connections

Similar Companies covers over 18.9 million companies, with each match including a written reason you can reference in outreach. Connections, with over 387 million relationships tracked, maps a target’s vendors and partners for a warmer entry point.

AI Agent and MCP Workflows

PredictLeads delivers data through API, flat files, webhooks, and Model Context Protocol (MCP), documented at docs.predictleads.com/mcp_integration. MCP lets an AI agent query company data conversationally instead of requiring a custom integration per workflow, a direct landing spot if you built agent workflows on Explorium’s MCP support, and worth weighing against other company data APIs for AI agents.

Explorium vs. PredictLeads: Feature Comparison for AgentSource Customers

If you ran prospecting through AgentSource, the mapping to PredictLeads is more direct than the general Explorium comparison suggests. AgentSource combined company enrichment, discovery, and contact finding into one AI agent workflow. PredictLeads covers the company side closely: firmographic enrichment, location and size based discovery, technographic detection, and company-level event tracking across hiring, financing, and news all map over with no functional gap. If your AgentSource usage leaned on querying company data conversationally, MCP support closes that gap too, letting you point the same kind of query at PredictLeads instead of rebuilding the workflow.

Where the mapping breaks is contact data. AgentSource could surface named people, emails, and phone numbers alongside company records. PredictLeads does not sell that layer, so pair it with a dedicated contact provider if direct dials were central to your workflow.

Capability

AgentSource

PredictLeads

Company enrichment

Yes

Yes

Discovery and ICP targeting

Yes

Yes

Technographic detection

Limited

Yes

Company-level event tracking

Limited

Yes, across hiring, financing, and news

AI agent and MCP integration

Yes

Yes, native MCP support

Contact data (emails, phone numbers)

Yes

Not offered

For most former AgentSource users, that means landing on PredictLeads for everything upstream of contact and adding a second tool just for names and emails, instead of searching for one bundled replacement that does not currently exist on the market, a tradeoff covered in more detail among the best CRM enrichment APIs for B2B teams.

How to Migrate from Explorium to PredictLeads

Migrating is a mapping exercise, not a flip of a switch. Work through it in order:

A clean, modern abstract illustration showing a data migration concept: two separate clusters of connected nodes on the left and right sides of the image, with a flowing bridge of dots and arrows transferring between them, symbolizing moving data from one system to another, professional blue and teal color palette, flat vector style, no text or letters anywhere in the image
  1. Export your Explorium data now. Pull everything out of AgentSource and Vibe Prospecting before December 2, 2026. Exports stop working on that date, and accounts are deleted by December 31.
  2. Audit current usage. List which AgentSource endpoints and fields your team actually queries today. You do not need to replace what you never used.
  3. Map each use case to a dataset. Hiring intent maps to Job Openings, tech stack visibility maps to Technology Detections (a comparison also worth running against TheirStack alternatives for technographic and job data), and funding or leadership signals map to News Events and Financing Events.
  4. Read the docs. Review the API documentation and MCP integration guide at docs.predictleads.com before writing any integration code.
  5. Test with free credits. Run real queries against your own target accounts using the 100 free API requests that renew every month, before committing to a paid plan.
  6. Update downstream workflows. If you route data through Clay, Make, or n8n, swap in the native modules for each of those tools.
  7. Validate before cutover. Check coverage on your account list, confirm schema differences against your current fields, and compare output quality side by side before you retire the old pipeline.

Start this early. Running both tools alongside each other for a few weeks while exports are still possible gives you a working comparison, not a guess, before the December 2 deadline forces the decision.

PredictLeads Pricing and Getting Started

Getting started with PredictLeads costs nothing upfront. Every account gets 100 free API requests each month, enough to run real queries against your own target accounts before deciding anything.

Beyond that, pricing runs on a pay-as-you-go credit model. Credits get consumed differently depending on the endpoint type. Company-specific endpoints, like pulling job openings for a single domain, typically cost one credit per response. Discovery and list endpoints, like searching across the full dataset for companies using a given technology, typically cost one credit per record returned. A broad discovery query against thousands of companies draws down credits faster than a handful of lookups on named accounts.

Once you move to paid usage, a $40 monthly minimum applies, and per-credit costs decrease as volume grows. Enterprise access, flat files, webhooks, and bulk or historical delivery run on custom pricing arranged through the sales team.

Rates can change, so verify current numbers on PredictLeads’ pricing page before you budget against them. If you are still deciding, the fastest path is to create an account and run your own queries against the free credits. No credit card, no sales call, just your data and an API key.

Frequently Asked Questions

Is Explorium shutting down?

Yes. Explorium announced on November 3, 2026, that it is ceasing operations, with AgentSource and Vibe Prospecting both scheduled to stop working on December 2, 2026.

When will AgentSource stop working?

AgentSource stops working on December 2, 2026. Data exports are available only until that date, and account data gets deleted by December 31, 2026.

What is the best alternative to Explorium?

PredictLeads is the strongest fit for teams replacing Explorium’s company intelligence and signal use cases, covering firmographics, hiring, technographics, news, financing, connections, and website evolution in one API. For contact finding, pair it with a dedicated contact provider since PredictLeads does not sell that layer.

Can PredictLeads replace Explorium’s API?

For company data, yes. The firmographic, hiring, technographic, and event use cases you ran through Explorium’s API map onto PredictLeads’ REST API, flat files, and webhooks.

Does PredictLeads support MCP?

Yes. PredictLeads offers native Model Context Protocol (MCP) support, documented at docs.predictleads.com/mcp_integration, so AI agents can query company data conversationally instead of relying on custom integration code.

How does PredictLeads’ pricing compare to Explorium’s?

PredictLeads runs on pay-as-you-go credits with a $40 monthly minimum once you move past the free tier, and every account gets 100 free API requests each month. Current rates are posted on predictleads.com/pricing.

Can I migrate existing enrichment workflows to PredictLeads?

Most workflows map cleanly: hiring intent to Job Openings, tech stack visibility to Technology Detections, and funding or leadership changes to News Events and Financing Events, with native modules available for Clay, Make, and n8n.

What is the best alternative to Vibe Prospecting?

Vibe Prospecting focused on contact-based prospecting, so no single tool replaces it feature for feature. PredictLeads covers the company intelligence side, firmographics, hiring, and technographic signals, while a dedicated contact provider covers the person-level search Vibe Prospecting handled.

Get 100 free API requests when you create an account, no credit card, no sales call.

Final thoughts on your next company data provider

No single tool picks up every piece Explorium covered, so plan for a pairing instead of a perfect match. Start with your highest priority use case, hiring signals, tech detections, or funding events, and build out from there. Grab 100 free API requests and run your own queries before you decide on anything, no credit card or sales call needed.

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