11 Best Company Lookup APIs in 2026 for Sales Prospecting

Key takeaways:

• A company lookup API answers an identity question: given a domain, a name or a LinkedIn URL, which company is this and what is its canonical record?
• Resolution is the hard part. Acme Corp, acme.com, Acme Holdings Ltd and a LinkedIn slug may all be one entity or four, and vendors disagree constantly.
• Company records decay faster than most teams assume, since only about half of new US businesses survive five years, so yesterday’s resolved record may point at nothing.
• We are direct below about the boundary: we hold 60+ million accounts for targeting, but we have no endpoint that takes a domain and hands back a company record.

Every system that touches company data eventually hits the same problem. A form fill says “Acme”. A CRM record says “Acme Corporation”. A signup says acme.co.uk. An enrichment vendor returns “ACME Holdings Limited”. Are these one customer or four?

That is identity resolution, and a company lookup API is the tool built for it, sitting upstream of the marketing data providers that append attributes later. You send whatever identifier you happen to hold, and you get back a canonical record with a stable ID you can join everything else to.

It matters more than it sounds, because the underlying reality keeps moving. US Bureau of Labor Statistics Business Employment Dynamics data shows roughly half of new establishments survive five years, so a meaningful share of any company table older than a couple of years describes businesses that no longer trade under that name.

This guide ranks the 11 company lookup APIs worth building against in 2026, with pricing verified live. We are listed first, and our entry is specific about which half of this problem we solve.

Lookup Is Not the Same as Enrichment

The distinction decides which vendor you should buy, and the marketing pages blur it deliberately.

Enrichment assumes you already know which company you mean and appends attributes: headcount, industry, revenue band, tech stack. The question is “tell me more about this company.”

Lookup is the step before that. The question is “which company is this, and what is its canonical identity?” You may be starting from a messy string a human typed, a domain that redirects somewhere else, a LinkedIn slug, or an email address.

Four directions come up repeatedly, and no vendor is equally good at all of them: a company domain lookup API call resolving domain to company name, the reverse from company name to domain, LinkedIn URL to company, and email address to company.

The failure modes are specific too. Subsidiaries resolving to parents, or not. Rebrands where the old domain still redirects. Holding companies with no web presence. Franchises sharing one brand across hundreds of legal entities. A vendor that nails domain-to-name can still be useless at reconciling a franchise network.

How We Assessed These Company Lookup APIs

We required a callable API, pricing we could verify live or an explicit statement that pricing is quote-only, and genuine resolution capability rather than an enrichment endpoint with a domain parameter.

We fetched every price rather than repeating figures from elsewhere, which mattered because this category reprices and repositions often. Where a vendor publishes credit costs but not tier prices, we say so rather than inventing a tier.

We weighted three things specific to resolution work:

• Whether autocomplete or fuzzy name matching exists, since real inputs are messy
• Whether the vendor returns a stable identifier you can store and rejoin later
• Whether published rate limits support interactive use, because lookup is often user-facing

ZoomInfo is discussed in this space but is not ranked here. It publishes no pricing, blocks automated inspection, and its API is reported through third-party procurement sources rather than a rate card, which is not a standard we can hold the other entries to.

The 11 Best Company Lookup APIs Compared

Pricing is the cheapest tier that includes API access.

Ratings reflect resolution quality and throughput rather than attribute depth, which is why a narrow fast vendor can outrank a broader one here.

1. Reply.io

Best for: Turning a resolved account into outreach

Overview: Let us be exact about the boundary, because this category has a technical meaning and we sit on one side of it.

We hold 60+ million accounts and 15+ million US company profiles, and our Live Data endpoints let you search that universe by industry, location, headcount signals and seniority. That is discovery: describe a company profile and receive matching accounts, resolved into contactable people.

What we do not offer is resolution in the other direction. There is no endpoint that accepts acme.com and returns Acme’s canonical record, and none is published on our roadmap. If your problem is deduplicating a CRM or normalizing messy form input, buy one of the specialists below.

Our claim to the top spot is what happens after resolution, and the full feature set shows how much of that sits in one place. Once you know which accounts matter, sequencing them across email, LinkedIn, SMS and calls runs through the same credential, with no export between systems.

Key features:

• Live Data search across 60+ million accounts by industry, location, department and seniority
• Account-to-people resolution, so a target company becomes named contacts rather than a firmographic row
• 220+ million US contacts and 15+ million US company profiles in the same B2B database
• Async email validation with background-job handling before anything sends
• Multichannel sequence endpoints so a resolved account becomes an active campaign
• Rate limiting documented at 100 calls a minute and 3,000 an hour for each user

Pricing: the meter is active contacts rather than seats. The first tier holds 1,000 active contacts for $49 monthly on annual billing, $59 if you pay month to month, and the ladder ends at $899 for 100,000. Fifty live data credits are bundled in; more start at $20.

Pros: account discovery resolves straight into contactable people, one API key covers targeting through to sending, no per-seat charge as headcount grows, published rate limits, deliverability tooling included

Cons: we have no domain-to-company lookup endpoint, so we cannot answer “which company is this” from an identifier, our Live Data search is in beta with response shapes that may change, and the account data is bundled inside a sending platform rather than sold as a resolution service

How to start using it:

1. Take a 14-day trial and generate an API key at Settings > API Key.
2. Verify the credential with https://api.reply.io/v3/whoami.
3. Run a Live Data preview against your ICP filters before spending credits.
4. Check how many of your 100 known target accounts appear in the result set.
5. Sequence the resolved contacts through the same API rather than exporting them.

Why it’s a good company lookup API: resolving a company is a means, not an end. We cover the part where a resolved account turns into a conversation, which none of the pure data vendors here attempt.

Final verdict: the right choice when you already know your target profile and need it worked, and the wrong one when you need identity resolution itself. For that, The Companies API or HubSpot Data Hub below are built for the job and we are not.

2. The Companies API

Overview: This vendor does company resolution and nothing else, and it is the throughput leader by a distance. When lookup sits in a user-facing path, published rate limits stop being a detail.

Key features:

• Domain-to-company resolution across roughly 50 million companies
• Throughput published at each tier: 50, then 250, then 1,000 calls a second
• Every API feature and the full database on all plans, with no gating

Pricing: $95 monthly buys 50,000 credits and a 50-per-second ceiling, with overage at $2.50 per thousand. Scaleup quintuples both to 250,000 credits and 250 a second for $295, overage $1.75. Enterprise reaches 500,000 credits and 1,000 a second at $595, overage $1.50. Two months are free on annual terms.

Pros: the only vendor here publishing per-second throughput at every tier, no feature gating, flat predictable credit costs

Cons: company data only so contact fields need a second vendor, the $95 entry is higher than several rivals, and roughly 50 million companies is a narrower universe than crawl-based competitors index

Why it’s a good company lookup API: if lookup runs while a user waits, throughput is the specification that decides whether the feature ships. Nobody else states it this plainly.

Final verdict: the default choice for programmatic domain resolution at scale.

3. HubSpot Data Hub

Overview: HubSpot Data Hub carries Clearbit’s lineage, and Clearbit’s pricing now redirects here. Clearbit built its reputation partly on name and domain autocomplete, which is precisely the messy-input problem this category exists to solve.

Key features:

• Company resolution from name or domain with autocomplete behavior
• CRM-native matching, so resolution and deduplication happen on the record itself
• Data quality tooling including formatting and duplicate management

Pricing: start free. Paid tiers run from $10 per seat monthly on Starter for new customers, rising to $800 monthly at Professional and $2,000 at Enterprise.

Pros: strong fuzzy matching from partial or messy names, zero integration work for HubSpot users, deduplication built into the platform rather than sold separately

Cons: the economics only make sense if HubSpot is already your CRM, the jump from Starter to Professional at $800 is severe, and you are buying a platform rather than a callable resolution service

Why it’s a good company lookup API: typed company names are almost always wrong in some small way, and fuzzy resolution is the difference between one clean record and four duplicates.

Final verdict: the strongest matching in this list for messy human input, priced for people already inside HubSpot.

4. CompanyEnrich

Overview: CompanyEnrich puts full API access on every tier, publishes its rate limits, and prices aggressively as volume grows. For a resolution workload that starts small and scales, that combination is unusually friendly.

Key features:

• Domain-based company resolution returning company and people data
• Published rate limits of 60, 120 and 600 requests per minute by tier
• Credit rollover on Pro and above, plus async and batch endpoints on Scale

Pricing: 500 credits come free of any subscription. Paid volume runs 5,000 credits for $49 (about a cent each), 50,000 for $149 ($0.0030), and 500,000 for $549 ($0.0011). Autocomplete calls cost nothing at all; Find Mobile costs 30.

Pros: per-credit cost drops around nine-fold from Starter to Scale, an autocomplete endpoint that costs nothing, published rate limits at every tier

Cons: a newer vendor with less third-party scrutiny, several endpoints cost far more than a single credit, and no published accuracy benchmark exists

Why it’s a good company lookup API: a free autocomplete endpoint is exactly the right shape for a company-name field, and charging nothing for it is a genuinely sensible design decision.

Final verdict: the best value in the category and the easiest to grow into.

5. Abstract API

Overview: Abstract API’s company endpoint takes a domain and returns a clean record with no ceremony. It is the fastest thing here to get into production and the only one that is genuinely free to begin with.

Key features:

• Domain input returning company name, founding year, employee count, industry and location
• Social profile URLs including LinkedIn, useful for cross-referencing a resolved record
• Coverage across 175+ countries with weekly updates

Pricing: the free allowance is 100 requests, one per second, no card. Standard runs $99 monthly on annual billing for 60,000 requests at three per second. Enterprise is quoted and layers on a 99.99% uptime SLA, SSO and commercial licensing.

Pros: free to start with no card, about ten minutes to integrate, wide country coverage for a tool this simple

Cons: 1 request per second on free and 3 on Standard are restrictive for interactive use, the field set is thin next to dedicated firmographic vendors, and it resolves from domains only rather than names

Why it’s a good company lookup API: for turning a signup domain into a company name and size, it does the job and gets out of the way.

Final verdict: the right pick for lightweight resolution and the best free option here.

6. Harmonic

Overview: Harmonic specializes in startup and private-company data, a segment where the generalist vendors go thin. It covers 35 million company records and 195 million people records, refreshed weekly.

Key features:

• Company and person enrichment plus discovery of new companies and people
• Financing and investor data available as an add-on
• Bulk delivery via S3, BigQuery or Snowflake alongside the API

Pricing: quote-only across all three products. The enterprise console, API access and bulk data all route to “Get pricing” with no published rate of any kind. Financing and investor data and no-code CRM sync are priced as add-ons.

Pros: genuinely strong coverage of startups and private companies that others miss, weekly refresh cadence, warehouse-native bulk delivery options

Cons: no published pricing anywhere, so evaluation requires a sales cycle, core datasets like financing are add-ons rather than included, and it is narrower than a general-purpose lookup service

Why it’s a good company lookup API: if you sell to startups, resolving a two-year-old company that no licensed database has cataloged is the whole problem, and this is the vendor built for it.

Final verdict: the specialist for private-company resolution, gated behind a conversation.

7. Generect

Overview: Generect exposes company, contact-enrichment and lead-generation endpoints on pure pay-per-result terms. It is also the data layer behind our own contact database, which we would rather disclose here than have you find out later.

Key features:

• A dedicated company API alongside contact and lead-generation endpoints
• Unlimited free searching, with charges applying only to results
• Real-time delivery with volume discounts as usage grows

Pricing: search costs nothing, however much you do. Charges attach to outcomes only: three cents per valid email, two cents per export, discounted at enterprise volume. No monthly fee sits underneath it.

Pros: unlimited free search means resolution testing costs nothing, no monthly commitment, incentives aligned since you pay only on results

Cons: published documentation of tiers and enterprise terms is thinner than the established vendors, no accuracy benchmark is published, and you build the surrounding workflow yourself

Why it’s a good company lookup API: free unlimited searching is unusually well suited to resolution work, where you often query far more than you keep.

Final verdict: a strong direct-from-source option, and the honest answer for anyone wanting our underlying data without our platform.

8. Ocean.io

Overview: Ocean.io resolves a company and then does something most vendors do not: finds the companies that look like it. For prospecting specifically, that turns one resolved account into a segment.

Key features:

• Lookalike company discovery from a resolved seed account
• One credit balance shared across the platform and the API
• Published per-operation credit costs

Pricing: credits cost 1 for a verified email, 10 for a direct phone and 0.2 for a search result. Working the calculator, about 1,700 credits a month comes out near $99 monthly on yearly terms. Tier names and prices sit behind that calculator rather than a published rate card, so treat $99 as a calculator anchor rather than a listed plan.

Pros: lookalike expansion is genuinely differentiated, per-operation credit costs are clearly published, one balance covers platform and API use

Cons: the absence of a published rate card makes budgeting awkward, phone lookups at 10 credits are costly, and lookalike matching matters less if your target list is already fixed

Why it’s a good company lookup API: resolving your best customer and asking for fifty more like it is a better use of a lookup than resolving it alone.

Final verdict: worth it for expansion, with pricing you derive rather than read.

9. Sumble

Overview: Sumble resolves companies into organizational structure rather than firmographic attributes, mapping who works there and who reports to whom. It also ships an MCP server, which is rare in this category.

Key features:

• Company resolution paired with people-in-org data and reporting hierarchy
• Technology, job-function and firmographic filters over a signal feed
• An MCP server on the Pro tier for agent-driven lookups

Pricing: signing up costs nothing and yields 500 monthly credits, seven signals a week, one page of results and a Slack hook; use a work email and 30 days of Pro comes with it. Pro itself runs $99 monthly, lifting you to 9,900 credits, twenty signals a day, ten result pages, full text search and the MCP server. Above that, Enterprise is quoted.

Pros: the output is an org chart rather than a firmographic row; MCP arrives without an enterprise contract; the free tier and 30-day Pro window are both genuinely usable

Cons: it is signal-oriented rather than registry-like, so it is weaker for canonical deduplication, the free tier’s 7 signals a week is limiting, and it is a newer vendor with a smaller footprint

Why it’s a good company lookup API: for prospecting, resolving to an org chart is more actionable than resolving to a headcount band.

Final verdict: the best fit when the lookup exists to find a person, not to clean a database.

10. PredictLeads

Overview: PredictLeads resolves companies and then watches them, combining job openings, news events and technology detections against a followed account list.

Key features:

• Company resolution feeding job-opening, news and technology detection datasets
• Discovery endpoints returning companies matching a signal
• Following a company for ongoing monitoring at 1 credit per month

Pricing: the first 100 API calls each month are free. After that you are on a sliding scale: $0.04 a credit up to 5,000 calls against a $40 monthly floor, halving to $0.02 by 10,000, $0.01 by 100,000, $0.004 by 500,000 and $0.002 beyond. Flat files and webhooks sit in a quoted Enterprise tier.

Pros: unit costs bottom out lower than anything else here, a single request can carry back 1,000 records, and keeping a resolved company under watch costs one credit a month

Cons: anything unspent each month simply disappears, discovery calls meter by companies returned instead of by request, and passing the ceiling throws an HTTP 402 rather than slowing you down

Why it’s a good company lookup API: resolution is worth more when it persists. Following an account for a cent a month turns a lookup into a monitoring subscription.

Final verdict: the economical pick when you resolve once and watch continuously.

11. Bright Data

Overview: Bright Data sells the underlying dataset rather than a resolution service. If you intend to build and host your own company graph, buying the records outright is dramatically cheaper per company than calling an API.

Key features:

• LinkedIn Company Information and People Profiles datasets
• Additional B2B datasets including Crunchbase, Google Maps and Glassdoor
• Refresh cadences from one-time through to monthly

Pricing: the marketplace base rate is $2.50 per 1,000 records, with volume tiers from 100,000 records up to full datasets around 3TB. Refresh discounts run 25% biannual, 50% quarterly and 80% monthly. A minimum monthly commitment is billed up front, and per-tier totals are not published.

Pros: by far the lowest per-record cost at volume, the most direct route to LinkedIn company records, steep discounts for frequent refresh

Cons: per-tier dollar totals are not published so you cannot model spend from the site, you build the resolution logic yourself, and bulk web data carries compliance obligations you must assess

Why it’s a good company lookup API: at a quarter of a cent per record, owning the graph beats renting lookups once query volume is high enough.

Final verdict: the infrastructure choice, correct when you are building rather than buying resolution.

What Makes Company Resolution Hard

Three problems account for most of the disagreement between vendors, and none of them appear on a pricing page.

Subsidiaries, Parents and Franchises

A lookup that returns the parent when you wanted the operating subsidiary is wrong in a way that silently corrupts territory assignment and account ownership. Ask each vendor directly how it handles corporate hierarchy, and test with a company you know has one.

Franchise networks are worse. Hundreds of legally distinct businesses share one brand and often one website, so a domain-based lookup collapses them into a single record when your sales model needs them separate.

If either shape appears in your market, test it before you compare prices, because a cheaper vendor that gets this wrong costs more.

Rebrands, Redirects and Dead Domains

Domains outlive companies and companies outlive domains. An acquired business keeps a redirecting domain for years, a rebrand leaves the old name in every historical record, and a closed business leaves a parked page.

With roughly half of new establishments not surviving five years, this is not an edge case at the tail of your database, it is a standing share of it. Vendors that publish a refresh cadence, as Harmonic does weekly, are telling you something useful about how fast they notice.

Store the resolved identifier rather than the name, exactly as you would when B2B list building, and re-resolve on a schedule instead of trusting a record you wrote once.

Legal Basis for the People Attached

A company record that names employees is not purely corporate data. The UK Information Commissioner’s Office B2B marketing guidance makes the split clear: electronic-marketing rules treat corporate subscribers differently, but processing personal data for B2B marketing still falls under UK GDPR, including a person’s right to object.

That matters here because several vendors in this list return people alongside the company. Sumble maps reporting lines and Harmonic covers 195 million people records.

Confirm the basis in writing before those fields reach production, rather than after someone objects.

What Company Lookup APIs Cost

Resolution costs split sharply between renting lookups and owning the underlying records, so the comparison below groups by how you intend to consume the data.

Teams comparing GTM outbound platforms hit the same question. The spread between renting lookups and owning records is the striking part. Bright Data charges $2.50 per thousand records outright, while a per-call vendor at $0.0098 a credit costs nearly four times that for the same volume, before you account for the engineering you take on by hosting it yourself.

Free tiers are workable for evaluation. Abstract API’s 100 requests, Sumble’s 500 credits, PredictLeads’ 100 calls and Generect’s unlimited free search together let you compare resolution quality on the same 100 messy inputs before spending anything.

Choosing a Company Lookup API

Start from the input you actually hold, and from how you plan to find B2B leads once resolution is done.

If it is a clean domain and you need speed, The Companies API publishes the throughput to support interactive use and CompanyEnrich offers better economics as volume grows. If it is a human-typed name, HubSpot Data Hub carries Clearbit’s fuzzy matching and CompanyEnrich’s free autocomplete endpoint is the cheaper alternative.

If your market is startups and private companies, Harmonic covers what the generalists miss. If you want to pay only for results, Generect charges nothing to search. If the lookup exists to reach a person, Sumble resolves into reporting lines.

If you resolve once and monitor continuously, PredictLeads charges a credit a month to follow an account. If query volume is high enough to justify owning the data, Bright Data sells the records at $2.50 per thousand.

Choose Reply.io when the resolution is already done and the work is reaching those accounts, since targeting through to multichannel sending sits behind one key. If identity resolution itself is the problem, buy one of the specialists above. We would rather state that boundary plainly than have you discover it mid-integration.