Best Company Enrichment APIs in 2026 for B2B Teams

Key takeaways:

• A company enrichment API takes a domain, company name, or social URL and returns firmographics: headcount, industry, location, revenue band, tech stack, and funding.
• Free tiers are genuinely useful here in a way they aren't for contact data. Diffbot gives 10,000 credits a month and Abstract API 100 requests, both with full API access.
• Headline database sizes are the least reliable number a vendor publishes. Coverage on your specific segment is what decides the outcome.
• Per-call costs run from roughly $0.001 to $0.20. The spread comes from whether you are buying a cached record or a live one.

Company data looks easier than contact data. There are far fewer companies than people, they don't change email addresses, and their websites publish most of the facts you want. So teams assume a company enrichment API is a solved problem and pick on price.

Then the headcount comes back as 50 for a business with 400 employees, the industry label says "Internet" for a logistics firm, and half a target account list quietly fails to match at all.

The variance between providers is large and it does not track price. This roundup covers eleven company data APIs with pricing verified live in July 2026, including which ones are genuinely free, which return live data versus a cached record, and which publish a real per-call rate instead of routing you to a sales team.

What Is a Company Enrichment API?

A company enrichment API accepts an identifier you already have, usually a domain, and returns a structured company profile. Send `stripe.com` and you get back the legal name, headcount, industry classification, HQ location, founding year, revenue band, social profiles, and often the technologies the company runs.

The input matters more than people expect. Domain lookup is the most reliable path because a domain is unique. Company-name lookup is far messier, since "Apple" could be the technology company, a bank, or a local repair shop, so providers have to guess. If you can normalize to a domain before you call, match rates improve immediately.

Two architectures explain the price spread. A cached company data enrichment API serves a record assembled earlier and refreshed on a cycle, which is fast and cheap. A real-time company data API crawls or queries at request time, costing more and taking longer but reflecting reality today.

Neither wins outright. For scoring 50,000 accounts overnight, cached is right. For routing an inbound demo request from a company that raised a round last week, real time earns its premium.

The 11 Best Company Enrichment APIs in 2026

Providers below are ranked on coverage, how much the API returns per call, pricing transparency, and whether the free tier is real enough to evaluate with. Pricing was checked live on 21 July 2026.

Ratings weigh API usability rather than dataset size, because the largest database is rarely the one that answers your specific query correctly.

1. ColdIQ

Best for: Covering the whole company-data picture

ColdIQ collapses more than 40 data vendors and over 700 endpoints into one key and one credit balance. For company data specifically, that spans company intelligence, technographics, job intelligence and intent signals rather than one vendor's view of a firm.

The company intelligence category alone routes to Apollo, CompanyEnrich, People Data Labs, PredictLeads, Sumble, Openmart, Google Maps, the LinkedIn Jobs API and others. Technographics reach BuiltWith, TheirStack, PredictLeads and Sumble. That matters because company enrichment is where single-source gaps are most obvious: one provider knows the tech stack, another knows the funding, a third knows the hiring.

Routing is automatic. Rather than picking a vendor per field, you describe what you need and the layer selects providers on fit, cost and accuracy, then reports which source answered and what it cost in the response body.

Three interfaces sit on top of that: a documented REST API, an MCP server that exposes the same endpoints to coding agents, and a chat layer that takes the request in plain language.

Key features:

• Firmographics, technographics, job intelligence and intent behind a single key
• Provider selection handled per request, so no vendor's blind spot becomes yours
• An MCP server that puts company lookups inside Claude Code, Cursor or Codex
• A documented OpenAPI spec, which means generated clients rather than hand-rolled ones
• Over 100 shipped GTM workflows you can install rather than design
• Source attribution on every record, so a bad field traces to the vendor that produced it

Pricing: Three published tiers, all with identical features and differing only on credits: $99 a month buys 2,000, $199 buys 5,000, and $499 buys 15,000. Committing annually cuts 30%, leftover credits stay usable for three months, and Enterprise negotiates volume alongside an SLA and security review.

Pros: one contract spanning firmographic, technographic and jobs data, gap-filling across vendors, usable from a terminal or an agent, three-month credit rollover, source named on every record. Cons: nothing here is first-party, so a field is only as good as whichever vendor supplied it, and there is no dashboard to fall back on if nobody on the team writes code.

How to start using it:

1. Sign up and generate a key.
2. Choose how you want to call it, either the MCP server inside your coding agent or a plain HTTP client against the REST base URL.
3. Enrich one domain you know well and compare the returned headcount and industry against reality.
4. Wire the endpoint into wherever accounts enter your systems, usually inbound form handling or CRM sync.
5. Install a published skill so account scoring and routing logic ship with the data.

Why it's a good company enrichment API: Company data fragments across firmographic, technographic and hiring vendors more than contact data does, so a routing layer covers more of the picture than any single provider can.

Final verdict: The strongest option when you need several classes of company data and would rather not run several contracts. Teams that need one named dataset on a signed license should still buy that vendor directly.

Try it: create a ColdIQ account and enrich a domain you already know the answers for.

2. CompanyEnrich

Overview: CompanyEnrich is built as a company data API first rather than a platform with an API attached. It positions squarely at AI agents and platforms, and exposes enrichment, search, lookalikes, tech stack and reverse email lookup as separate endpoints.

Key features:

• Enrichment from a domain, name or social profile, returning 60+ data points
• Lookalike and tech-stack endpoints for building target lists, not just filling fields
• Credits roll over, and the API can be tried in-browser without signing up

Pricing: Starter is $49 per month for 5,000 credits, roughly $0.0098 each. Pro is $149 for 50,000 credits and Scale $549 for 500,000, dropping to about $0.0011 per credit at the top.

Pros: among the cheapest per-credit rates here, genuinely API-first design, credits roll over. Cons: a smaller company universe than the largest vendors; brand recognition is limited for internal buy-in; the published find-rate benchmark is the vendor's own.

Why it's a good company enrichment API: The per-credit economics at Scale are hard to beat for high-volume firmographic backfill.

Final verdict: The best price-to-capability ratio in this list for straightforward domain-to-firmographics work. Check plans at CompanyEnrich.

3. People Data Labs

Overview: People Data Labs prices its company dataset separately from its person dataset, and treats both as inputs for other people's products rather than a finished tool. The documentation is written for that engineering audience.

Key features:

• Company and person datasets that join on shared identifiers
• Discounts that trigger on volume without a renegotiation
• ISO and SOC 2 Type 2 certification, which most procurement reviews ask for

Pricing: A free tier covers up to 100 records per month, and Pro starts at $98 per month from 350 records. Annual commitments save 20%, with Enterprise offering data-license feeds and SSO.

Pros: excellent documentation and SDK coverage, consistent typed fields, compliance credentials that survive review. Cons: entry-volume per-record cost is high; meaningful pricing requires a conversation; the free tier is too small to evaluate coverage properly.

Why it's a good company enrichment API: When you are building a product on company data rather than running campaigns, predictable schemas matter more than a low headline price.

Final verdict: The reference choice for engineering teams, and overkill for a marketer filling in a CRM field.

4. The Companies API

Overview: The Companies API does exactly one thing, turning a domain name into a company profile, and prices it transparently. It advertises 300+ data points from a single call across a database of roughly 50 million companies.

Key features:

• One call returns 300+ attributes, avoiding multiple round trips per account
• Rate limits from 50 to 1,000 requests per second, high enough for real batch work
• 500 free credits to start, with no credit card required

Pricing: Startup is $95 per month for 50,000 credits, Scaleup $295 for 250,000, and Enterprise $595 for 500,000. Extra credits cost $2.50, $1.75 and $1.50 per thousand respectively, and annual billing gives two months free.

Pros: genuinely transparent pricing, very high rate limits, all features on every tier. Cons: company data only, so you still need a contact provider; no per-seat or lower entry tier below $95; the 50 million company universe trails the largest datasets.

Why it's a good company enrichment API: The rate limits and flat credit pricing make it one of the few options you can point a large batch job at without negotiating first.

Final verdict: The cleanest pick when domain-to-firmographics at volume is the entire requirement.

5. Coresignal

Overview: Coresignal positions as a data intelligence layer for AI agents, serving company, employee and jobs records in real time. It has been gathering data since 2016, which shows up in its historical headcount capability.

Key features:

• Company, employee and jobs endpoints that can be joined for hiring-based signals
• Historical headcount API on the top tier, useful for growth scoring
• Both API access and bulk dataset delivery from the same underlying data

Pricing: A free tier gives 200 Collect and 400 Search credits valid seven days. Starter is $49 per month, Pro $800, and Premium $1,500, with per-record costs falling from about $0.196 to $0.005. Datasets start from $1,000 per month and yearly upfront saves 20%.

Pros: genuinely fresh records, strong jobs data, historical trends available. Cons: multi-source company data consumes double credits; the jump from $49 to $800 leaves a large gap; the free trial expires in seven days rather than renewing.

Why it's a good company enrichment API: Job postings and headcount history are among the most predictive company signals, and few providers expose both cleanly.

Final verdict: The right choice when hiring activity is the signal you actually care about.

6. Diffbot

Overview: Diffbot builds its company data by crawling the web and structuring it with machine learning rather than licensing lists. Its Knowledge Graph is queryable directly, and every product is available on a free tier that never expires.

Key features:

• Knowledge Graph search and enhance endpoints, assembled by crawling rather than licensing
• Extract, crawl and natural-language APIs included at every tier including free
• 10,000 free credits per month with full API access and no credit card

Pricing: Free is $0 for 10,000 credits per month at 5 calls per minute. Startup is $299 for 250,000 credits at $0.001 each, Plus $899 for one million, and Enterprise is custom. Overages bill pro-rata at the plan rate.

Pros: the most generous free tier in this list, very low per-credit cost at scale, no long-term contract. Cons: the free tier's 5 calls per minute makes real batch work impossible without upgrading; the jump to $299 is steep; coverage of small private companies is patchier than curated datasets.

Why it's a good company enrichment API: A crawling approach finds companies that licensed databases have never recorded, which matters for long-tail and non-US segments.

Final verdict: The best free option to prototype with, and a genuine production choice once you clear the rate limit.

7. Explorium

Overview: Explorium sells data and AI building blocks aimed at context-aware GTM agents, packaging account and prospect enrichment plus events into credit bundles rather than subscriptions.

Key features:

• Account and prospect enrichments plus event data from a single credit pool
• Credit packages rather than a recurring subscription, so spend is capped by design
• Agent-oriented positioning with integrations built for automated workflows

Pricing: A free trial gives 100 credits for 90 days. Starter is $84.99 for 2,500 credits, Growth $599.99 for 25,000, and Scale $5,624 for 500,000, each with a stated discount off list. Enterprise adds volume discounts and resell rights.

Pros: no recurring commitment, meaningful discounts at higher tiers, built for agent workflows. Cons: credits expire after 12 months and cannot be carried over; packages are non-refundable and do not auto-renew; different operations consume 1 to 5 credits, complicating forecasts.

Why it's a good company enrichment API: Prepaid credits suit project work and one-off list builds far better than a monthly subscription you have to remember to cancel.

Final verdict: Strong for bounded projects, awkward for steady-state enrichment where expiring credits become waste.

8. Crustdata

Overview: Crustdata focuses on real-time people and company search built for AI, with an emphasis on events: hiring, funding and other changes as they happen rather than as a quarterly snapshot.

Key features:

• Real-time hiring, funding and company event signals rather than static attributes
• An MCP server, so an AI agent can query company data directly
• Flat-file datasets unified from 11+ sources as an alternative to the API

Pricing: There is no public pricing. The API uses credit-based usage tiers on monthly or annual terms, and datasets are quoted separately. Both require contacting sales.

Pros: genuinely real-time event data, MCP support out of the box, both API and bulk delivery available. Cons: no published pricing at all, so budgeting requires a sales call; no self-serve free tier to evaluate; smaller than the incumbent datasets.

Why it's a good company enrichment API: Event signals decay fastest of any company data, so a provider built around freshness has a structural advantage.

Final verdict: Worth the sales conversation if timing signals drive your motion, and skippable if you just need static firmographics.

9. Abstract API

Overview: Abstract API offers a company enrichment endpoint that takes a domain or email and returns core firmographics with a deliberately simple schema. It is the most approachable free company data API in this list.

Key features:

• Domain or email in, returning name, founding year, headcount, industry and location
• Social profile URLs plus continent and EU-membership flags for routing logic
• A free tier with 100 requests and no credit card required

Pricing: Free covers 100 requests at 1 request per second. Standard is $99 per month billed annually for 60,000 requests at 3 requests per second, and Enterprise adds a 99.99% uptime SLA, SSO and a commercial license.

Pros: trivially easy to integrate, a real free tier, clear uptime commitments on Enterprise. Cons: shallower data than specialist providers; 3 requests per second on the paid tier is restrictive for batch work; no tech stack, funding or intent data.

Why it's a good company enrichment API: For filling four or five firmographic fields on a signup form, the simplicity is the feature.

Final verdict: The right answer for lightweight form enrichment, and underpowered for account scoring.

10. Cognism

Overview: Cognism sells compliant B2B company and contact data with unusually strong European coverage, delivered through its platform and through a Data-as-a-Service option that includes API and bulk access.

Key features:

• European company coverage and compliance workflows built for GDPR obligations
• Phone-verified contact data alongside firmographics for account-based motions
• CRM enrichment and Data-as-a-Service delivery for programmatic use

Pricing: Quote-only. Reported figures put the entry tier near $15,000 in platform fees plus roughly $1,500 per user annually, with API access priced inside Data-as-a-Service by volume. Treat those as third-party estimates, not published rates.

Pros: genuine strength in European data, serious compliance posture, phone-verified records. Cons: no published API pricing whatsoever; annual prepaid contracts with no monthly option; renewals reportedly rise 10% to 15% a year.

Why it's a good company enrichment API: If you sell into Europe, compliance documentation is not a nice-to-have, and few providers handle it as thoroughly.

Final verdict: A credible enterprise choice for European coverage, priced well outside what a self-serve API buyer expects.

11. BuiltWith

Overview: BuiltWith answers one company question exceptionally well: what technology does this website run? It tracks 123,524 web technologies across 491.9 million domains with 18 years of historical trend data.

Key features:

• Technology detection across 123,524 technologies with historical change tracking
• Lists and lookups that let you target by the software a company already uses
• API and MCP tools plus CRM integration on every plan

Pricing: Basic is $295 per month, Pro $495, and Team $995, with a Team Ultra tier that is not publicly priced. Individual site lookups remain free forever on the website.

Pros: unmatched technographic depth, long historical record, free single-site lookups. Cons: expensive relative to general firmographic providers; not a firmographic source in its own right; API access rules are not detailed on the pricing page.

Why it's a good company enrichment API: Technographics are the highest-intent company attribute for most software sellers, and this is the deepest source of them.

Final verdict: A specialist purchase, worth it when "who uses this technology" is the question that drives your pipeline.

How We Chose These Company Enrichment APIs

Every provider was checked against the same criteria, with pricing pulled from live pricing pages in July 2026.

We prioritized published pricing. Two entries here, Crustdata and Cognism, do not publish rates, and both are marked as such rather than padded with numbers borrowed from aggregator sites. Where third-party estimates exist, they are labeled as estimates.

We weighted free tiers heavily, because company data is one of the few categories where a free tier is genuinely usable. Diffbot's 10,000 monthly credits and Abstract API's 100 requests both allow a real integration test before any spend.

We also separated general firmographics from specialist data. BuiltWith is not competing with The Companies API; it answers a different question. Ranking them on a single axis would be misleading, so the entries say plainly what each one is for.

Finally, we discounted database-size claims entirely. A vendor claiming 200 million companies and a vendor claiming 50 million may perform identically on your list, because most of the difference sits in dormant or duplicate records. If you would rather assemble company data yourself, the 44 prospecting data sources list covers the non-vendor routes.

What to Look For in a Company Data API

The differences that matter show up after integration, not on the pricing page.

Match Rate on Your Segment, Not Their Database

Coverage claims are averages across a whole database, and your target market is not the average. A provider strong on US software companies can be weak on European manufacturers or on businesses without much web presence.

Practitioners find this consistently. In a Reddit write-up where someone tested six company enrichment APIs against the same sample, the conclusion was that "headline company dataset sizes seem pretty inflated" and that providers "sometimes fail hard on specific data points." That is one practitioner's test rather than a controlled benchmark, but it matches what most teams find: aggregate size predicts very little about field-level accuracy.

Which Fields Are Actually Populated

A provider can technically return 300 attributes while leaving most of them null for your accounts. Headcount, revenue and funding are the three that are most often missing or estimated, and they are usually the three that drive scoring. When you trial, measure fill rate per field rather than whether the call succeeded.

Cached Versus Live, and How Often It Refreshes

Ask when the record you are being served was assembled. A cached profile refreshed quarterly is fine for industry classification and wrong for headcount at a fast-growing company. Coresignal refreshes company records monthly and adds jobs daily; Crustdata is built around real-time events; Diffbot crawls continuously. Match the refresh cycle to the volatility of the field you care about.

This matters more than it sounds, because companies themselves are less permanent than people assume. Bureau of Labor Statistics data shows 51.5% of private-sector establishments born in the year ending March 2019 were still operating five years later. Roughly half of any older company list is describing businesses that no longer trade.

Rate Limits and Legal Basis

Rate limits vary by more than two orders of magnitude here. Abstract API allows 3 requests per second on its paid tier where The Companies API allows up to 1,000, which decides whether a 100,000-account refresh finishes in an hour or drags across a week.

Then check the legal basis, particularly for anything derived from personal profiles. The ICO's B2B marketing guidance notes that while electronic-mail marketing rules do not apply to corporate subscribers, processing personal data for B2B marketing still falls under UK GDPR, including a person's right to object. Company-level firmographics are lower risk than named contacts, but named employees inside a company record are personal data.

What Does Company Data Actually Cost?

Per-call pricing spans two orders of magnitude, and the spread mostly reflects whether you are buying a cached record or a live one.

Two things stand out. The cheapest per-record rates come from providers that assemble data by crawling, because they are not paying to license it. And entry-tier costs are misleading everywhere: Coresignal falls from about $0.196 to $0.005 per record between Starter and Premium, a 39-fold drop, so the tier you land on matters more than the vendor you choose.

For a fuller view of what else sits in this category, the B2B database provider guide covers the platform side and the ColdIQ tools directory catalogs the wider category.

How to Choose the Right Company Enrichment API

The question you are answering narrows the field faster than any feature comparison.

If more than two rows describe you, the aggregation route is usually cheaper than the contracts. The web scraping APIs roundup covers the build-it-yourself alternative, and the Clay API guide walks through orchestrating several providers from one workflow.

Where Company Enrichment Goes Wrong

Four mistakes cause most of the disappointment, and none of them are fixed by switching vendors.

The first is matching on company name instead of domain. Name matching is ambiguous by nature, and providers resolve that ambiguity by guessing. Normalize to a domain first and match rates jump without changing anything else.

The second is trusting headcount as a precise figure. Almost every provider estimates it, usually from social profiles or job postings, and the error is largest exactly where it matters most: fast-growing private companies. Use headcount as a band, not a number.

The third is never re-enriching. Company records go stale differently from contact records, through acquisitions, rebrands, funding and closures, and a list built two years ago is describing a market that has partly ceased to exist.

The fourth is buying a general provider for a specialist question. If your qualifying criterion is "runs Shopify" or "hired three engineers last quarter," a firmographic API will answer badly no matter how much you pay. Match the provider to the field.

Picking a Company Data API Without Overpaying

Start with a bake-off you can run for free. Take 200 domains from your real target list, run them through Diffbot and Abstract API on their free tiers plus one paid trial, and measure fill rate per field rather than overall match rate. Most teams discover the gap is concentrated in two or three fields they actually care about.

Then decide the freshness you genuinely need. Paying live-data prices for industry classification is waste, and paying cached-data prices for funding signals is worse, because you will act on stale information. Splitting fields across a cheap cached provider and a live one for the volatile attributes usually costs less than buying one premium source for everything.

Finally, check the rate limit before the price. More company-data projects stall on requests per second than on budget, and that ceiling is far harder to renegotiate mid-project than a credit top-up.

The B2B data API overview covers how company data sits alongside contact and signal providers. The ColdIQ skills library has workflow patterns for account enrichment if you would rather start from something proven, and the sales intelligence tools overview covers the platform end of the same problem.