A domain gives the highest match rate and is deterministic. Most providers also accept a company name, a LinkedIn URL or a work email, and a few take a stock ticker.

Which fields can I count on?

Name, domain, industry, location and an employee range come back almost everywhere. Tech stack, funding, revenue and web traffic are provider-specific, and revenue in particular is usually modelled.

What happens when a domain has no company?

It varies, and it is worth knowing before a batch: some return a 404, some an empty object, and the free-mail domains are refused outright. Several providers do not bill for a miss.

Is this how I qualify signups?

Yes, that is the common use: turn the new user's work email domain into firmographics and route the account. One provider has a route that takes the email address directly.

Company Enrichment API: 31 Providers Compared

Try it

What’s the best way to ask ChatGPT?

1Set your agent up, once

in your agent's chat

set up treg — https://treg.to/llms.txt

2Ask for the job

the prompt

Using treg, enrich these 30 domains into a table: company name, industry, headcount, country, founded year and tech stack. Show me the price first, and mark any field that came back empty.

works in

Why this prompt works

Give the domain, not the name

A domain maps to one company. A name is ambiguous and matches the wrong one.

Ask for the fields you need

Some providers price per section requested. Asking for everything costs more.

Ask it to mark the blanks

An empty field is information. A quietly guessed one is not.

Batch when you can

Several providers have a bulk route at half the single-call price.

Behind the scenes

What ChatGPT sees before it calls

treg.to does not choose for you. It hands ChatGPT this comparison, with the price shown before any call, and ChatGPT picks. Or you tell it how: "cheapest", "most reliable", "the one that takes what I have", or a provider by name.

Which is cheapest?

Cheapest per found

The Companies API at $0.0019 · Company data

Cheapest per result

Bright Data at $0.0015 · Company data

Cheapest per call

HarvestAPI at $0.004 · LinkedIn

Those units are not interchangeable: one call can return many results, so compare on the unit you will actually be billed in.

Which is the most reliable?

Provider	Success	Median	Sample
ContactOut	100%	106ms	855 calls
Aviato	100%	138ms	848 calls
People Data Labs	100%	150ms	170 calls
PredictLeads	100%	218ms	246 calls
Apollo.io	100%	221ms	17280 calls
Tomba	100%	229ms	19312 calls

Measured on treg.to traffic: real calls, real inputs, and sample sizes differ by provider. Live reliability, not a controlled benchmark.

How do they compare?

Company data

Provider	Price	Accepts	Success rate	Verified
Bright Data	$0.0015 per result	dataset_id, format, input	97% (32 calls)	unverified
Dropleads	$0.0018 per result	domains, companyNames	98% (205058 calls)	2026-09-15
The Companies API	$0.0019 per found	simplified, refresh, domain, email	100% (450683 calls)	unverified
Ocean.io	$0.00405 per result	company, people, fields, domains, companyDataMapping, webhookUrl	not yet measured	2026-08-20
Hunter	$0.0049 per found	domain, clearbit_format	100% (210622 calls)	2026-07-31
Tomba	$0.0089 per found	domain	100% (19312 calls)	2026-08-20
Openmart	$0.00894 per result	website, social_media_link, limit, estimate_total	100% (285 calls)	2026-09-17
Icypeas	$0.0095 per found	url	100% (2554 calls)	2026-08-20
CompanyEnrich	$0.0098 per call	domain, expand, name, linkedinUrl, linkedinId, twitterUrl	100% (36730 calls)	2026-08-20
Sumble	$0.01 per result	organizations, filter, include_closed, select, limit, offset	100% (534 calls)	2026-09-09
Findymail	$0.0198 per found	see endpoints	100% (9706 calls)	unverified
ContactOut	$0.02 per result	domains	100% (855 calls)	2026-09-09
LimaData	$0.02 per found	domain, linkedin_url	100% (4634 calls)	2026-09-17
Datagma	$0.0226 per found	data, companyPremium, companyFull, personFull, phoneFull, deepTraffic	100% (4277 calls)	2026-09-18
Prospeo	$0.0245 per found	data	100% (4752 calls)	2026-09-16
LeadMagic	$0.025 per found	company_domain, profile_url, company_name	100% (501 calls)	2026-07-31
Context.dev	$0.0253 per found	domain, maxSpeed, maxAgeMs, timeoutMS, force_language, name	100% (3291 calls)	2026-08-20
Apollo.io	$0.026 per found	domain, website, name, linkedin_url	100% (17280 calls)	unverified
Diffbot	$0.0299 per call	type, url, name, location, ip, phone	99% (372 calls)	2026-07-28
Fiber AI	$0.04 per found	companyIdentifier, companyDomain, companyName	100% (1212 calls)	unverified
PredictLeads	$0.04 per call	id_or_domain	100% (246 calls)	2026-08-20
Wiza	$0.05 per found	company_name, company_domain, company_linkedin_id, company_linkedin_slug	100% (74 calls)	2026-09-16
Enrichlayer	$0.1 per found	url, categories, funding_data, exit_data, acquisitions, extra	100% (13 calls)	2026-10-01
Aviato	$0.15 per found	id, linkedinID, linkedinNumID, linkedinURL, website, preview	100% (848 calls)	2026-08-25
Lusha	$0.25 per found	companies	100% (146 calls)	2026-07-31
People Data Labs	$0.38 per found	website, name, profile, ticker, location, locality	100% (170 calls)	2026-07-31
Coresignal	$0.392 per found	website, fields, id	100% (156 calls)	unverified
Akta by Wokelo	$0.875 per found	company, sections	100% (10 calls)	2026-07-31
Crustdata	$1.2 per result	domains, names, professional_network_profile_urls, fields	100% (244871 calls)	2026-08-25
Crunchbase	no dollar rate published	field_ids, card_ids, entity_id	not yet measured	unverified

Provider	Price	Accepts	Success rate	Verified
HarvestAPI	$0.004 per call	url, universalName, search	100% (34680 calls)	2026-09-10

Run one

the cheapest verified call

treg call thecompaniesapi.companies.enrich

Swap the id for any provider above. All 46 endpoints behind this job, with their parameters and captured responses, are on the Company data, LinkedIn shelf.

How these numbers are made

PricesEach provider’s own published rate, converted to US dollars for one chargeable event of the unit they bill in. treg.to adds $0.000. Where a provider bills in credits, the conversion uses the rate on their public pricing page, last checked 2026-10-01.

Success ratetreg.to’s own served calls over the last 30 days: 2xx counts as a success, 5xx and timeouts as a failure. A 4xx is excluded, because it usually means the caller sent bad parameters and one bad query should not make a healthy endpoint look broken.

What this is notA controlled benchmark. These are real calls with real inputs, so sample sizes and the difficulty of what was asked differ by provider. Treat the rates as live reliability, not a like-for-like test.

VerifiedThe date treg.to last called the endpoint end to end and confirmed the shape of its response and the price it charged.

From the field

What people actually struggle with

Everybody wants the same thing here, and the arguments are about what comes back and what it costs. From ~180 Reddit and X posts in August 2026, with the vendor rings removed.

The ask, in the buyer's own words

“I'll give it a company name/website and it will return company size, industry, founded, market cap, maybe leadership info, etc.” r/CRM, 17 points

What this page can do about it: That is exactly this job, and 19 providers do it. The comparison below is about which fields each one actually fills, because the ask is identical everywhere.

Resolution rate is not a buying signal

“Every provider resolves between 94.7% and 100% of domains. That spread is not a buying signal.” r/gtmengineering

What this page can do about it: Right, so this page does not rank on it. Compare on what a filled record contains, what an empty one costs you, and the measured latency, which is where the real spread is.

A guessed field is worse than a blank one

“A pipeline that appends fields without validating them just produces confident-looking wrong data, which is worse than an empty field” r/Data_Enrichment

What this page can do about it: Most providers do not distinguish observed from inferred fields, and we will not pretend otherwise. Ask the agent to keep blanks blank, and treat headcount and revenue as estimates unless the provider says otherwise.

Credits are not comparable between vendors

“Every vendor on this list uses the word “credit,” and none of them mean the same thing” r/Data_Enrichment

What this page can do about it: Which is why every price on this page is in dollars per call, converted from each provider's own unit at their published rate, with the date we last verified it.

Seat pricing kills small teams

“For a 5-person team, they quoted 15k-30k/year minimum. The pricing games are brutal.” r/coldemail

What this page can do about it: Seat-based enrichment tools bill whether or not you pull a record. Every provider here bills per call with no seat, so a quiet month costs nothing and a busy one scales.

The detail

What actually differs

Headcount, revenue and industry are inferred by most providers, not observed, and almost none of them mark which is which.

A confidently wrong headcount does more damage in a scoring model than a blank one, so ask your agent to keep the empties visible.

The billing units are genuinely different products.

Akta prices per section of the record you request; CompanyEnrich charges one credit per call and five more for the workforce expansion; Hunter charges only when name, size and location all come back; Ocean.io's bulk lookup is half the price of its single enrichment. The word credit means something different at every vendor, which is why this page prices everything in dollars per call.

Use the deterministic route when you have a domain.

CompanyEnrich's by-domain lookup maps one domain to exactly one company, while its by-properties route is a fuzzy match at the same price. The Companies API returns an empty object and charges nothing when a domain has no company behind it.

The detail

Where it goes wrong

Inferred headcount is often wrong

Most providers model employee count from job postings, LinkedIn, and traffic signals. Subsidiaries, international companies, and fast-growing teams are frequently misclassified. Treat headcount as a range, not a fact, and validate any record that will drive routing.

Empty vs guessed fields

Some providers return a blank when they have no data; others return an inferred value with no flag. A confidently wrong industry or revenue estimate does more damage than a gap. Ask the agent to surface blanks, and know which providers distinguish observed from modelled.

Fuzzy name match returns the wrong company

A company name like 'Acme' matches dozens of records; the provider picks one and you pay. A domain is deterministic: one input, one company, no ambiguity. Use the by-domain route when you have it.

Billing units differ wildly

One provider charges per section of the record you request; another per company found; another only when name, size and location all return. Compare in dollars per call, not in credits, because a credit means something different at every vendor.

Company enrichment API: domain to firmographics, providers compared on price and fill

What 100 of these actually costs

What’s the best way to ask ChatGPT?

Why this prompt works

Give the domain, not the name

Ask for the fields you need

Ask it to mark the blanks

Batch when you can

Why go through treg.to

No code to write

Nothing to integrate