# Apollo review (2026): easy to start, limited by one dataset

By [Florian Martens](https://pipe0.com/authors/florian-martens) · Published Oct 6, 2026

Source: https://pipe0.com/reviews/apollo
Scoring method: https://pipe0.com/reviews#methodology
Disclosure: pipe0 sells data enrichment and competes with Apollo in parts of this review. We say where Apollo is better.

> Apollo bundles a 240M-contact database, sequences, a dialer, and an MCP server into one per-seat tool. Every answer comes from that one dataset, through a fixed data model and tight API rate limits.

**Verdict: 3.4/5.** The easiest way for a small team to find contacts and send sequences in one tool, held back by a single dataset, a fixed data model, and API rate limits that stall real enrichment volume.

| Criterion | Score | Why |
| --- | --- | --- |
| Ease of use | 4.5/5 | Sign up, filter, and send a sequence in an afternoon. No tables to build, no waterfall to configure. |
| Data quality | 2.5/5 | Every answer comes from one owned dataset, with nothing to fall back on where it is thin. Apollo's own help center puts email accuracy at 91%. |
| Pricing value | 3.5/5 | Cheap to start at $49 a seat, but every user is a seat and credits never roll over. Teams pay for headcount, not for the data they use. |
| API and agent access | 3.0/5 | MCP and API on every plan, but general API endpoints stop at 400 requests an hour on Basic and Professional, and agents can only read Apollo's fixed fields. |
| **Overall** (mean) | **3.4/5** | |

**Best for:**

- Small sales teams that want data and outreach in one tool
- Founders who want to start prospecting today
- Teams selling mostly into US tech companies

**Skip it if:**

- Data quality outside US tech decides your pipeline
- You enrich at volume over the API or with agents
- You need custom fields, AI research, or more than one data source

**Price:** from $49/mo per seat for Basic, billed annually ($65 billed monthly). Free plan available.

## Apollo at a glance

- **Founded:** 2015 by Tim Zheng and Ray Li ([source](https://www.apollo.io/about))
- **Headquarters:** San Francisco ([source](https://www.prnewswire.com/news-releases/apolloio-appoints-matt-curl-as-chief-executive-officer-co-founder-tim-zheng-to-continue-as-chairman-302678113.html))
- **CEO:** Matt Curl since February 2026; Tim Zheng is chairman ([source](https://www.prnewswire.com/news-releases/apolloio-appoints-matt-curl-as-chief-executive-officer-co-founder-tim-zheng-to-continue-as-chairman-302678113.html))
- **Database size:** 240M+ contacts and 30M+ companies, according to Apollo ([source](https://www.apollo.io/product/data))
- **Data sources:** A contributor network of 2M+ users, engagement signals, web crawling, and third-party providers ([source](https://knowledge.apollo.io/hc/en-us/articles/45824429846669-Apollo-Data-Overview))
- **Email accuracy:** 98% on Apollo's data page, 91% in its help center ([source](https://knowledge.apollo.io/hc/en-us/articles/10826699994381-How-Apollo-Verifies-Emails))
- **API rate limits:** General endpoints: 600 a day on Free; 400 an hour and 2,000 a day on Basic and Professional; 6,000 a day on Organization ([source](https://docs.apollo.io/reference/rate-limits))
- **MCP server:** mcp.apollo.io/mcp, on all plans including Free ([source](https://docs.apollo.io/docs/apollo-mcp))

## What is Apollo? [#what-is-apollo]

Apollo is a B2B contact database with a sales engagement suite built around
it. You search its 240 million contacts by title, company size, industry, or
technology, reveal emails and phone numbers, and send them into sequences,
calls, and meetings without leaving the app. Tim Zheng and Ray Li founded it
in 2015; Matt Curl took over as CEO in February 2026.

The appeal is consolidation. A founder or a three-person sales team gets a
database, a sequencer, a dialer, a meeting scheduler, and a Chrome extension
on one bill, starting at nothing.

## Where Apollo's data comes from [#where-apollos-data-comes-from]

Apollo builds its database from four sources, according to its own data
overview: a contributor network of more than two million users who share
email and calendar signals, engagement data from its own tools (replies and
bounces), public web crawling, and third-party providers. Paid plans add a
waterfall that checks outside partners for missing data.

That mix is the weakness. A database built from its own users is good where
those users sell, which in our experience means US tech companies, and
thin or stale everywhere else: European contacts, small businesses, uncommon
job titles, and anyone who changed jobs since the last signal came in. When
Apollo is wrong or empty, there is nothing behind it. No second provider
gets asked.

Apollo's own numbers don't agree with each other either. Its data page
claims 98% email accuracy. Its help center article on email verification,
updated in September 2026, describes a seven-step process and "a 91%
accuracy rate". At 91%, roughly one email in eleven is wrong before you
send. We haven't benchmarked Apollo ourselves, so test it on twenty accounts
you know well; that is usually enough to see the gaps.

## What Apollo costs in practice [#what-apollo-costs-in-practice]

Apollo prices per seat, and every seat comes with credits. An email costs 1
credit and a mobile number 8, charged only when Apollo finds something. A
Basic seat at $49 a month billed annually includes 2,500 credits.

The sticker price is low; the shape of the bill is the problem. Every person
who logs in is a seat, so a five-person team on Basic pays $245 a month
before buying a single extra credit. Credits don't roll over, purchased ones
included, so a seat that uses half its credits pays double for each contact.
A team that needs more data but not more people either buys add-on credits
(1.5 to 2.5 cents each) or pays for seats nobody uses. The Organization plan
needs three seats on an annual contract.

## A fixed data model [#a-fixed-data-model]

Apollo's records are Apollo's fields: 65+ data points per person or
company, defined by Apollo. Lists filter that database; they are not tables
you can extend. There is no column that asks a second provider for a missing
phone number, runs an AI prompt over a company's website, or scores an
account with your own logic. Anything beyond a contact lookup happens in
another tool, after an export.

## The API and agents [#the-api-and-agents]

Apollo has an MCP server at `mcp.apollo.io/mcp` and a REST API, both on
every plan. An agent in Claude, ChatGPT, or Cursor can search the database,
enrich contacts, add them to sequences, and update the CRM.

The limits show up as soon as you use them for real work. General API
endpoints allow 400 requests an hour and 2,000 a day on Basic and
Professional, and 600 a day on Free; Organization raises the daily cap to
6,000. Enrichment and search endpoints get separate, higher limits on paid
plans, but an agent that looks up accounts, people, and sequences in one run
touches several endpoints and hits the general ceiling first. And whatever
the agent does, it can only read Apollo's own fields from Apollo's own
dataset.

## Apollo vs pipe0 [#apollo-vs-pipe0]

pipe0 does not replace Apollo's sequences or dialer; it hands enriched lists
to outreach tools. Where they overlap is data, and there the difference is
structural. Apollo answers every lookup from one database. pipe0 runs
waterfalls across 50+ providers and stops at the first that answers, so a
miss in one dataset becomes a second and third chance instead of an empty
cell. You pay only for the provider that found the result, and there are no
seats: plans start at $49 a month for the whole team, and we measure about
14 cents per mobile number found.

The data model is open, too. A pipe0 sheet holds up to 2 million rows, and
any column can run an enrichment, an AI prompt, or your own logic, on a
schedule, into HubSpot, Salesforce, or Attio. The same blocks are an API and
an MCP server built for agents running at volume.

Many teams use both: pipe0 to find and verify the data, Apollo to send. The
[full comparison](/compare/pipe0-vs-apollo) covers the differences.

## Who should buy Apollo [#who-should-buy-apollo]

Buy Apollo if you are a small team selling into US tech, you want one tool
for finding people and contacting them, and speed of setup matters more to
you than coverage outside that market. Start on the free plan and check its
coverage of twenty accounts you know well before you pay.

Look elsewhere if data quality outside US tech decides your pipeline, if you
enrich over the API or with agents at any volume, or if your enrichment goes
beyond a contact lookup. A waterfall, or a table like
[Clay](/reviews/clay), will return more.

## Apollo pros and cons

### Pros

- **Data and outreach in one product.** Search, enrichment, sequences, a dialer, a meeting scheduler, and intent topics share one login and one bill. A small team can drop two or three tools.
- **Fast to start.** There is nothing to build. Filter the database, reveal contacts, and send a sequence on the first day.
- **A free plan for testing.** The free plan includes 75 credits a month, two sequences, and API and MCP access. It is enough to check Apollo's coverage of your own market before paying.
- **MCP on every plan.** Apollo's MCP server works in Claude, ChatGPT, Cursor, and others, and lets an agent search, enrich, add contacts to sequences, and update the CRM.

### Cons

- **One dataset decides your data quality.** Every lookup is answered from Apollo's own database. Where it is thin or stale (Europe, small companies, uncommon titles, people who just changed jobs) there is no second source to check.
- **Accuracy claims don't match.** Apollo's data page claims 98% email accuracy. Its own help center article on email verification says 91%, so roughly one email in eleven may not be right.
- **Tight API rate limits.** General API endpoints allow 400 requests an hour and 2,000 a day on Basic and Professional, and 600 a day on Free. Agent and batch workflows hit those ceilings quickly.
- **A fixed data model.** Apollo returns its own 65+ fields and nothing else. You can't add a column that calls another provider, runs an AI prompt, or computes a score, so custom enrichment happens in another tool.
- **Seats and expiring credits.** Credits come per seat and don't roll over, purchased ones included. A team that needs more data but not more people pays for seats, and the top plan needs three seats on an annual contract.

## Apollo pricing

| Plan | Price | What you get |
| --- | --- | --- |
| Free | $0 | 75 credits a month, 2 sequences, 250 emails a day, 25-record selection limit. No dialer. |
| Basic | $49/seat/mo annual, $65 monthly | 2,500 credits per seat a month, dialer, Outreach and Salesloft integrations. |
| Professional | $79/seat/mo annual, $99 monthly | 4,000 credits per seat a month, AI agents, 2,500-record selection limit. |
| Organization | $119/seat/mo, annual only | 6,000 credits per seat a month, minimum 3 seats, 10,000-record selection limit. |

- Every user is a seat. A five-person team on Basic pays $245 a month billed annually, or $325 billed monthly.
- One credit pool: an email costs 1 credit and a mobile number 8. Credits are only charged when Apollo finds data.
- Credits don't roll over, including purchased add-on credits, which cost from 1.5 to 2.5 cents each depending on volume.
- The dialer covers the US by default. International calling is part of the Advanced Dialer add-on at $119 or $149 a month.
- Exports are capped by a per-action record selection limit, from 25 on Free to 10,000 on Organization.

Prices as of Oct 6, 2026, from https://www.apollo.io/pricing.

## Apollo alternatives

- [pipe0](https://pipe0.com/compare/pipe0-vs-apollo): You want coverage from waterfalls across 50+ providers instead of one database, an API built for volume, and no per-seat pricing.
- [Clay](https://pipe0.com/reviews/clay): You need custom enrichment logic across many providers and have someone to build and maintain the tables.
- [ZoomInfo](https://pipe0.com/compare/pipe0-vs-zoominfo): You are an enterprise that needs the reference US dataset and intent data, and can sign an annual contract.
- [FullEnrich](https://pipe0.com/compare/pipe0-vs-fullenrich): Apollo misses too many phone numbers in your market and you want a waterfall that charges per number found.

Full comparison: [pipe0 vs Apollo](https://pipe0.com/compare/pipe0-vs-apollo)

## FAQ

### Is Apollo worth it?

For a small team that wants data and sequences in one tool and sells into US tech, it is a quick start. For teams whose pipeline depends on data quality outside that market, or that enrich at volume, one dataset and tight API limits make it a weak foundation.

### How much does Apollo cost?

Apollo has a free plan. Basic costs $49 per seat a month billed annually or $65 monthly, Professional $79 or $99, and Organization $119 per seat billed annually with a three-seat minimum. Every user is a seat. Prices as of October 2026.

### How good is Apollo's data?

Apollo's data page claims 98% email accuracy, while its own help center article on email verification states 91%. All data comes from Apollo's single database, so where it is thin or stale there is no second source to fall back on.

### What are Apollo's API rate limits?

General endpoints allow 600 requests a day on the free plan, 400 an hour and 2,000 a day on Basic and Professional, and 6,000 a day on Organization. Enrichment and search endpoints have separate, higher limits on paid plans.

### Does Apollo have an MCP server?

Yes, at mcp.apollo.io, on every plan including Free. It works with Claude, ChatGPT, Cursor, and other clients, and lets an agent search, enrich, and add contacts to sequences within Apollo's own data.

### Apollo or Clay: which should I choose?

Choose Apollo if you want one simple tool for finding contacts and sending sequences. Choose Clay if you need coverage from many providers and custom enrichment logic, and someone on the team will own the build.