The 10 Best B2B Data Enrichment Tools, Products and APIs in 2026

The right B2B data enrichment tools depend on what you start from and who is doing the enriching: a rep with a browser, a RevOps team with a CRM, or a program or AI agent working through a list. This post compares ten, from sales platforms to dataset APIs, and shows how NeuralVerge runs the same job over REST or MCP, priced in points.

The short version

• —If a person works the data in a browser: a sales platform such as ZoomInfo, Apollo, Cognism or Lusha fits better than an API.
• —If the work is a workflow across providers: Clay, which chains several data sources in a spreadsheet-style table.
• —If code or an agent does the enriching: People Data Labs, Coresignal or NeuralVerge, which are reached through an API. Only NeuralVerge on this list is described here as reachable over a hosted MCP server; check each vendor's docs for their current position.
• —What it costs on NeuralVerge: from 1 point for an email check to 20 for a phone lookup (100 for a US number), with a point worth a thousandth of a dollar. Competitor pricing is left out on purpose, because it changes and is often quoted by sales.
• —Whatever you pick: test on your own records. A match rate measured on someone else's list does not tell you much about yours.

What B2B data enrichment tools do

Data enrichment takes a record you already hold, such as an email address, a company domain or a name, and adds fields you do not have. The what is data enrichment guide covers the basics. For choosing a tool, a few contrasts matter more than any feature list.

Contact data and company data

Contact enrichment is about people: a work email, a phone number, a job title, a profile. Company enrichment is about organizations: legal name, registration number, funding, size, location, and which people work there. Most platforms do both, but they are rarely equally strong at each. A tool that is excellent at finding a sales director's email can be thin on the legal record of the company, and the reverse is also common. Decide which side your problem sits on before you read any comparison.

Stored database or live lookup

Many tools answer from a database the vendor maintains and refreshes on its own schedule. That is fast and usually cheap per record, and the data is only as fresh as the last refresh. A live lookup reads the source at the moment you ask. NeuralVerge works this way for its enrichment and registry sources: there is no stored copy in between, and a result reflects what is published when you call. The trade is that there is no historical archive either, so a live lookup cannot tell you what a record looked like last year.

A single source or a waterfall

A single source returns one vendor's answer. A waterfall tries one source, and if it misses, tries the next. Workflow tools are built around waterfalls. The benefit is a higher share of records filled. The cost is mapping fields from several vendors into one shape and paying for more than one contract. If you take the waterfall route, the response format of each source is a larger factor than it looks.

A person at a screen or a program

A browser extension, a web app and a platform seat are made for a person who looks at a list and decides. An API or an MCP tool is made for a program that decides by rule. Some products offer both, and the interface they are strongest at is usually the one they were built for first.

How we compared

The ten tools are grouped by the job they are built for, not ranked by a score. We use four questions: how is it reached (platform, workflow tool, API or MCP), where does the data come from (own database, other vendors, live lookup), what does it cover (contacts, companies or both), and how is it billed. We do not publish match rates or accuracy for any vendor, ours included, because no single number holds across regions, seniority levels and company sizes. Third-party descriptions are kept general and based on how each vendor positions itself. Check each vendor's current site for features, limits and terms.

The 10 best B2B data enrichment tools

1. NeuralVerge

NeuralVerge is a set of enrichment and lookup sources behind one account, one key and one response format, reached over REST or a hosted MCP server. On the contact side it has an email finder, email enrichment (the person behind an address), email validation, phone enrichment, and LinkedIn people, company and employee sources. On the company side it has official company registers across many countries, the global LEI system, funding and startup databases, and Google Maps places. It also offers cited AI research and AI extraction on the same account, for questions a record cannot answer.

Two things set it apart from the database-backed tools below. First, lookups are read live at the moment of the call, and every call returns a session id you can trace later. Second, it is built for code and agents, not for a person at a screen: there is no prospecting UI, no sequencing and no CRM sync. If you want a rep to browse and export, one of the platforms below is the better fit. Here is what the difference adds up to:

Fits best: pipelines, CRM jobs and agents that enrich records by rule, and KYB or due diligence that needs the legal record. Watch for: it is not a prospecting application, and the sources are separate lookups with their own inputs, so you decide which steps a record needs.

2. ZoomInfo

ZoomInfo is one of the best-known sales intelligence platforms, built around a large contact and company database, intent and org-chart data, and workflow features for sales and marketing teams. It is generally sold to larger teams on a sales-led basis.

Fits best: enterprise sales and marketing teams that want one platform for data, lists and workflows. Watch for: a platform makes sense when you use much of it. Plan terms and API access vary, so check current terms before you assume what is included.

3. Apollo.io

Apollo combines a contact and company database with prospecting, sequencing and outreach in one product, and is a common first choice for smaller outbound teams. The finding and the sending happen in the same place.

Fits best: teams that want data, list-building and outreach under one login. Watch for: if you only need enrichment inside your own pipeline, you may be paying for a suite. Check the current plan limits on exports and API use.

4. Clay

Clay is a spreadsheet-style workflow tool. It does not replace data providers so much as sit on top of many of them: you build a table, add columns that call different providers in order, and use AI steps to research or write. It is popular for waterfall enrichment because it lets one table try several sources in sequence.

Fits best: RevOps and growth teams that want to design a multi-provider enrichment flow without writing code. Watch for: you still need provider accounts or credits, and the result is only as good as the sources you chain. A flow built in a table is also a different shape from a function your own backend calls.

5. People Data Labs

People Data Labs sells person and company data as APIs and datasets, aimed at developers and data teams who build the data into their own product. It is closer to a data supplier than to a sales application.

Fits best: engineering teams that want a person or company enrichment API, or bulk data to load into their own systems. Watch for: stored data is as fresh as its last refresh, so test how current it is on records you care about. Our data API guide shows what a live-lookup alternative looks like.

6. Cognism

Cognism is a sales intelligence platform that positions itself around contact data, including phone numbers, with attention to compliance in European markets. It is delivered mainly as an application with integrations.

Fits best: outbound teams that call as well as email and want compliance claims they can review with their legal team. Watch for: verify the compliance and data-sourcing claims yourself, and check what is available through an API.

7. Lusha

Lusha is a contact data product best known for its browser extension and web app, which show a person's contact details while you look at their profile or company page. It also offers an API.

Fits best: individual reps and recruiters who want contact details beside the page they are reading. Watch for: extension workflows are for a person at a screen, and do not move into a scheduled backend job.

8. Coresignal

Coresignal provides professional profile, company and job-posting data as datasets and APIs, aimed at investors, analytics teams and data products rather than outreach. It is a source for building your own analysis on top of.

Fits best: teams that want large-scale firmographic or workforce data to analyze or to feed a model. Watch for: it is data supply, not a ready-made enrichment workflow, so you build the matching and the logic yourself.

9. Clearbit, now HubSpot Breeze Intelligence

Clearbit was a long-standing enrichment API and has since been folded into HubSpot, where enrichment features are offered under the Breeze Intelligence name at the time of writing. If your CRM is already HubSpot, enrichment inside the CRM is the shortest path.

Fits best: HubSpot customers who want records enriched where the records live. Watch for: product names, packaging and standalone API availability have changed in the past, so confirm the current offer on the vendor's site before you build on it.

10. Hunter

Hunter started with finding and verifying email addresses and has stayed focused on that job, with a domain search, an email finder, a verifier and an API. It is a narrower tool than the platforms above, which is the point.

Fits best: teams that mainly need work email addresses and a verification step, not a full contact database. Watch for: it covers emails and not company registers, funding or phone data, so it is one piece of an enrichment stack.

Comparison at a glance

Reading the ten side by side shows the split: a handful are applications for people, a few are data suppliers for engineers, and one is a workflow layer. The interface column describes how each is mainly reached, based on how the vendors position themselves, not a feature audit.

Most of the platforms above serve data from a database the vendor maintains. Here is how that approach compares with NeuralVerge, dimension by dimension:

Dimension	ZoomInfo, Apollo, Lusha & others	NeuralVerge
How data is served	From a stored database the vendor refreshes on its own schedule	Read from the source at the moment you call — no stored copy in between
Freshness	As fresh as the record's last refresh	As fresh as the public source at request time (no historical archive)
Company data	Firmographics — industry, headcount band, location, estimates	The legal record from official national company registers and the global LEI system — plus funding rounds, investors, reviews and company profiles
Contact data	Emails and phones from the vendor's database, usually with a verification status	Email finder with a found flag and confidence, validation, reverse email lookup, phone enrichment — and line type, carrier and litigator-risk flag for US numbers
Provenance	Usually the vendor's own record	Registry results carry the URL they were read from; every call returns a session id you can trace
Interface	Web app and browser extension first; API on some plans	Built for code and agents — REST and a hosted MCP server returning typed JSON; no prospecting UI
Beyond lookups	Prospecting lists, sequences, CRM sync	Cited AI research and AI extraction on the same account, for questions a record can't answer
Best fit	Reps browsing and building lists, outreach in one tool, bulk dataset purchases	Enriching records inside your own pipeline or agent, and KYB or due diligence that needs the legal record

NeuralVerge enrichment sources and points

NeuralVerge sells each lookup separately, so a record pays only for the steps it needs. The first table lists the contact side, the second the company side. Both are generated from the source pages, at the time of writing. A point is one thousandth of a dollar, so 10 points is one cent. Each source is also an MCP tool.

Contact and people sources

Contact sources include the 12 entries in the B2B data category. The LinkedIn profile and company profile entries run through AI extraction (run_extract); the rest have their own tools.

Company sources

Company records come from several kinds of source: funding and startup databases, official registers, the global LEI system, and maps listings. The table shows a representative set. The registry family is much larger, with dedicated sources for many countries, listed in the data source catalog.

Two readings of these tables are worth stating. The cheapest steps, email validation at 1 point and a registry search at 1 point per record, are the ones to run on every record. The expensive ones, a US phone lookup at 100 points and a block of 25 people from a search at 100 points, are the ones to run on purpose.

REST and MCP

Every source above, plus AI extraction, is reachable over REST and over MCP, with the same arguments, the same response and the same price. NeuralVerge hosts the MCP server at https://mcp.neuralverge.ai/mcp, so there is nothing to host. Add the URL to Claude, ChatGPT, Cursor or another MCP client and sign in. The MCP server for Claude guide walks through a connection end to end. REST paths use hyphens, as in run-fi-companies-search; MCP tool names use underscores, as in run_fi_companies_search.

A company lookup

This is the real call from the Finland company search source page. It searches the Finnish register for a name and caps the result at two records.

curl -X POST https://api.neuralverge.ai/functions/v1/run-fi-companies-search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "keyword": "nokia", "max_items": 2 }'

Over MCP, the agent calls the tool with the same arguments:

{
  "tool": "run_fi_companies_search",
  "arguments": { "keyword": "nokia", "max_items": 2 }
}

The structured part of the response, from the source page's sample:

{
  "total_items": 2,
  "items": [
    {
      "registration_number": "0112038-9",
      "name": "Nokia Oyj",
      "url": "https://tietopalvelu.ytj.fi/en/yritys/0112038-9",
      "company_type": "Julkinen osakeyhtiö",
      "home_municipality": "HELSINKI",
      "activity": "Pääkonttorien toiminta"
    },
    {
      "registration_number": "3156443-1",
      "name": "Nokia (Thailand) Co., Ltd.",
      "url": "https://tietopalvelu.ytj.fi/en/yritys/3156443-1",
      "company_type": "Ulkomainen yhteisö",
      "home_municipality": "ULKOMAAT",
      "activity": "Ohjelmistojen suunnittelu ja valmistus"
    }
  ],
  "total_found": 300,
  "page_count": 1
}

The register reports 300 matches and two came back, and the call cost 2 points, one per returned record. Status, address and registration date are null in search results; the Finland company source returns them for a Business ID. The full response also carries a session id and a readable summary.

A person lookup

For the contact side, the email enrichment source takes one address and returns the person behind it. The source page's sample, for a public figure, returns this structured block (trimmed here):

{
  "full_names": ["Sam Altman"],
  "emails": ["sam@openai.com"],
  "company": "OpenAI",
  "position": "CEO",
  "linkedin_profile": "https://www.linkedin.com/in/sam-altman/"
}

That lookup costs 10 points when the address resolves and nothing when it does not. The tool is run_email_enrichment over MCP and run-email-enrichment over REST. The full response has more fields, including locations and alternate phone numbers.

A worked example: Acme Oy

Take a made-up account, Acme Oy in Finland, as an illustration. The steps below are a plan with the prices from the tables, not a recorded run:

1. —Search the Finnish register for "Acme" with max_items 2: about 2 points, and you get a Business ID to match against your CRM.
2. —Search for people at the company, or take a name from your own records.
3. —Run the email finder with a first name, a last name and the company domain: 10 points if an address is found, nothing if not.
4. —Validate the address with email validation: 1 point.

For a contact that resolves at every step, that is about 13 points, or 1.3 cents. For 1,000 contacts the email half of the job, finder plus validation, comes to 11,000 points if every address is found, and less on the misses, which are not billed. The B2B data API guide walks the same chain with real responses.

Choosing between REST and MCP

Choose by who decides when a lookup happens. REST fits a scheduled job that already knows every row needs enriching, such as a nightly CRM fill. MCP fits an agent that discovers mid-task that it needs an address or a registration number. For tools on this list other than NeuralVerge, check their current docs for an MCP server before assuming either way.

How to decide

Run the same sample of your own records, a few hundred is enough, through two or three candidates, and compare the share that comes back with the fields you need. That test is faster and more honest than a feature table. Before you do, answer these:

• —Who enriches: a person or a program? A rep with a screen is served by a platform or an extension. A pipeline or agent needs an API or an MCP tool.
• —Which side of the record do you need? Contacts, companies, or both. A tool strong at one may be thin at the other.
• —Stored or live? If a stale record costs you, favor a live lookup. If bulk volume and price per record matter more, a stored database may fit.
• —One source or several? If you expect to chain providers, check how much work it is to map their responses into one shape.
• —How are misses billed? Run a messy list through each and see what you pay for the records that do not resolve.
• —Is the result traceable? For KYB or compliance work you want to know where a field came from. A session id and a link to the register help.
• —Can you test before you commit? Check that you can run a small batch before signing a plan. The pricing page lists NeuralVerge's plans and the points each includes.
• —Will an agent call it? If so, check for an MCP server and read what the tool descriptions tell the model.

Frequently asked questions

What is the difference between a B2B data enrichment tool and a data provider?

A provider owns or licenses the data. An enrichment tool is the thing you use to apply it to your records. Many products are both. Others, such as workflow tools, own no data and only chain providers together. When you compare tools, ask whether the data comes from the vendor's own database, from other vendors or from a live lookup, because that decides freshness, price and what you can audit.

Should I use one enrichment tool or several?

Most teams end up with more than one, because no single source resolves every record. A common pattern is a primary source for the bulk of records and a second source for the ones that miss. The cost of that pattern is field mapping and deduplication, so it helps if the sources return one consistent response shape.

Can I run B2B data enrichment over MCP?

Yes, with NeuralVerge. The hosted MCP server at https://mcp.neuralverge.ai/mcp exposes the enrichment sources as tools, for example run_email_finder, run_email_enrichment, run_phone_enrichment and run_linkedin_people_search. Add the URL to Claude, ChatGPT, Cursor or another MCP client, sign in and approve access. The arguments, the response and the price in points are the same as over REST. For other vendors on this list, check their current documentation to see whether they offer an MCP server.

Do I pay for records that do not match?

It depends on the vendor, so read the billing terms before a large run. On NeuralVerge, the email finder, email enrichment, phone enrichment and the profile sources charge only when a record resolves, and a lookup that finds nothing is not billed. Search sources charge per result returned, so a search that matches nothing costs nothing either.

How do I measure whether an enrichment tool is any good?

Run the same sample of your own records, a few hundred is enough, through each candidate and count how many come back with the fields you actually need. Then spot-check a handful by hand. A vendor's published match rate is measured on someone else's list, so treat it as a claim to test, not a number to plan around.

Is enriching B2B records legal?

Enrichment processes personal data, so it needs a lawful basis under rules such as GDPR, and a working way for people to opt out. Many teams rely on legitimate interest for business contact data, with a documented assessment. That is a question for your own counsel, and this post is not legal advice.

How much does enrichment cost on NeuralVerge?

Each source has its own price in points, and a point is one thousandth of a dollar. An email finder lookup is 10 points, email validation is 1 point, email enrichment is 10 points, phone enrichment is 20 points and a Finnish registry search costs 1 point per record returned. The pricing page lists the monthly plans and the points each includes.