Every pairing worth actually making
67 head-to-head comparisons, each one costed from the vendors' own rate cards. Not every pair in the directory is here, because comparing a verification API against a CRM produces a table nobody can act on. These are the decisions teams genuinely get stuck on.
# what happens to the rows? a rep reads them → platform a system routes them → orchestration a customer sees them → license # that answers more comparisons # than any rate card does.
Pick a pair, or filter to your own decision
Filter by where the decision sits in your motion, by what kind of choice it is, or by a provider you are already considering.
Type of decision is the filter most people skip and should not. A platform-versus-platform comparison is a question about what you are buying. A specialist-versus-specialist comparison is usually a question about your own list, and the answer is more likely to come from a bake-off than from a table.
Apollo API vs Clay
One key for the whole motion against a router sitting in front of 150 vendors.
Compare them →Apollo API vs People Data Labs
A go-to-market license at two cents a credit against a license written for redistribution.
Compare them →Apollo API vs LeadMagic
A seat license with 30,000 credits against a published per-operation rate card.
Compare them →Apollo API vs Prospeo
Two $49 plans that look identical and meter completely differently.
Compare them →Clay vs FullEnrich
Two ways to buy a waterfall: a spreadsheet you configure, or one endpoint you call.
Compare them →Clay vs People Data Labs
Coverage borrowed from 150 vendors against one dataset you are licensed to redistribute.
Compare them →LeadMagic vs Findymail
A published per-operation rate card against a refundable bounce guarantee.
Compare them →LeadMagic vs Prospeo
Credits that bank for two months against credits that reset on renewal.
Compare them →Findymail vs Prospeo
Two EMEA-strong indexes, fifty dollars apart on the entry plan.
Compare them →Findymail vs Hunter
A refundable bounce guarantee against the best-documented starter in the category.
Compare them →Hunter vs Prospeo
Same $49, same 2,000 credits, two quite different products.
Compare them →FullEnrich vs Findymail
25 sources behind one call against one source that verifies as it finds.
Compare them →ZeroBounce vs LeadMagic
Verification with no monthly floor against verification bundled into enrichment.
Compare them →Exa vs TheirStack
Live web research against structured hiring and technology signal.
Compare them →HubSpot API vs Attio API
A free CRM API against a CRM whose data model you define in code.
Compare them →Smartlead vs Apollo API
Dedicated sending infrastructure against sending bundled with the data.
Compare them →HubSpot API vs Salesforce
A CRM that gives the API away against one that sells it by the seat.
Compare them →Pipedrive vs Salesforce
US$14 a seat with the API included against US$125 a seat before the first call.
Compare them →Attio API vs Salesforce
Define the schema in code for free, or buy the deepest API in the category by the seat.
Compare them →HubSpot API vs Pipedrive
A free tier with a per-second rate limit against a $14 seat with a daily token budget.
Compare them →Attio API vs Pipedrive
A schema you define in code against a pipeline that works out of the box.
Compare them →Clay vs HubSpot API
These two are not substitutes, and the comparison people actually want is where each one should sit.
Compare them →Attio API vs Clay
Two products often called the same thing, one of which stores your data and one of which finds it.
Compare them →Exa vs Tavily
Two search APIs built for agents, priced within a tenth of a cent of each other.
Compare them →Apollo API vs ZoomInfo
A published $49 seat with a free tier against the incumbent that prices nothing in public.
Compare them →People Data Labs vs Clearbit
One of these is still a product you can buy.
Compare them →Apollo API vs Lusha
A seat with credits bundled against a published price for every single operation.
Compare them →Apollo API vs Cognism
The cheapest published seat here against the only notified, DNC-screened database in the directory.
Compare them →Cognism vs Lusha
Neither publishes the number you need, but they withhold opposite halves.
Compare them →Lusha vs RocketReach
Five credits for a phone number against one export for the whole contact.
Compare them →Lusha vs UpLead
Both bundle the contact differently, and only one will sell you an API without a call.
Compare them →Cognism vs ZoomInfo
Two quote-only databases, strongest on opposite sides of the Atlantic.
Compare them →HubSpot API vs Zoho CRM
A free tier with a per-10-second limit against a $14 seat with a daily credit pool and no rate limit at all.
Compare them →Pipedrive vs Zoho CRM
Two cheap CRMs that both meter the API daily, and only one has a free tier.
Compare them →Salesforce vs Zoho CRM
The same daily-pool idea at nine times the price, and only one of them makes you buy the API.
Compare them →Apollo API vs Instantly
One seat that does everything against two subscriptions that each do one thing well.
Compare them →Smartlead vs Instantly
The two senders that both give you unlimited mailboxes, gating the API in opposite ways.
Compare them →Reply.io vs Woodpecker
One publishes a slider with a pricing cliff, the other has no plans at all and sells the API as a $20 add-on.
Compare them →Reply.io vs Salesloft
Every price published against none, and the only sales engagement API here that meters by the minute.
Compare them →Instantly vs Reply.io
Unlimited mailboxes with no stated ceiling against unlimited mailboxes with a published ratio.
Compare them →Instantly vs lemlist
Both put the API on the entry plan. Both publish an MCP server, and only one adds a CLI.
Compare them →Instantly vs Saleshandy
One credit for the whole waterfall against a separate data subscription, and one of them has no webhooks.
Compare them →Instantly vs Outreach
A $47 card payment against a quote, and both publish an MCP server.
Compare them →Instantly vs QuickMail
REST against GraphQL, and the only sender here that holds webhooks back for a $299 plan.
Compare them →Instantly vs Woodpecker
Two $47 subscriptions you choose between, against one slider and a $20 tick box for the API.
Compare them →Smartlead vs lemlist
The API starts at $94 on one and $55 on the other, and the cheaper one throws in a CLI.
Compare them →Smartlead vs Saleshandy
Both sell mailboxes and data alongside the sending. One of them has no webhooks at all.
Compare them →Smartlead vs QuickMail
Both gate the API behind the second tier, and they land at almost the same price doing it.
Compare them →Findymail vs Smartlead
A finder that verifies at find time against a sender that charges $59 a month for its data, and they are not really competitors.
Compare them →Dripify vs Expandi
A downloadable OpenAPI spec against a reference behind a login, for $20 a seat less.
Compare them →Dripify vs HeyReach
Per user against per sender, and the crossover sits at about thirteen LinkedIn accounts.
Compare them →Expandi vs HeyReach
Both put everything on one plan. Only one of them lets you read the API reference first.
Compare them →Cognism vs UpLead
Neither of these sells you an API at a published price, and they fail to do it in opposite ways.
Compare them →Apollo API vs RocketReach
Apollo is four times cheaper on an email and twice as expensive on a mobile, once you read what an export includes.
Compare them →Cognism vs RocketReach
The least transparent vendor in this directory against the most transparent one, doing roughly the same job.
Compare them →Lusha vs ZoomInfo
Lusha publishes what every operation costs and not how fast you may ask. ZoomInfo publishes neither.
Compare them →Apollo API vs UpLead
Thirty times the unit price on an email, three times on a mobile, and the published plans do not carry the API.
Compare them →Apollo API vs HubSpot API
These are not really alternatives. One finds the people and the other is where they live, and both give the writes away free.
Compare them →Apollo API vs Attio API
A database with a CRM bolted on against a CRM whose schema you write yourself. They meet in the middle and compete almost nowhere.
Compare them →Apollo API vs Hunter
Twenty-five percent apart on the credit and doing two different jobs. One starts from a person, the other from a domain.
Compare them →Attio API vs folk
One gives you the API on the free plan. The other starts it at $48 a member and then documents it better than anybody.
Compare them →HubSpot API vs Close
A free CRM that stores against a $19 one that dials. Both ship MCP, and only one treats a phone call as an object.
Compare them →HubSpot API vs Freshsales
The cheapest seat here has the tightest ceiling. HubSpot gives you 36 times the throughput for nothing.
Compare them →Attio API vs Twenty
The same idea at a quarter of the price, with the source code thrown in. The difference is throughput.
Compare them →HubSpot API vs Copper
One caps how fast you may ask. The other caps how much you may keep.
Compare them →Attio API vs Close
Define the objects you sell to, or dial the list you already have. Both ship an API on every tier and almost nothing else overlaps.
Compare them →HubSpot API vs folk
A free suite with the API included against a $48 relationship tool that documents its limits better than the suite does.
Compare them →What every comparison checks
The same eleven fields on every page, pulled from the same records that drive the directory, so no comparison can quietly disagree with a card.
Unit cost, normalized
Credits, actions, records, validations and searches are not the same unit, and comparing the headline numbers compares nothing. Every page states the unit, then prices the same workload both ways so the figures are actually side by side.
The monthly floor, separately
At low volume the floor is the bill, and a provider with a higher unit cost and no seat license often wins outright. Every cost table shows the floor as its own row rather than folding it into an average.
What a hit costs, and on how many meters
Almost everyone here charges nothing on a failed lookup, and Clay's pricing page says the same of its enrichments. The difference is on a hit: a dedicated provider bills one credit, while an orchestration layer like Clay bills an action for its own work plus data credits for the data, unless you bring your own provider keys. Price a hit on both meters before comparing rates.
What data one returns and the other does not
The accented tags in each comparison table are the exclusive ones. That single row settles more comparisons than price does, because a provider that does not sell mobile numbers is not a cheaper option, it is a different one.
The license
Buying access is not buying the data. If enriched records end up in front of your customers, the terms decide your shortlist before the price does, and only one provider in this directory is written for that case.
A table narrows it to two. Your data picks one.
We run the bake-off on your actual list, then build the pipeline behind whichever wins: provider order, regional routing, credit ceilings and CRM write-back.
Worked with 300+ companies. A senior operator runs your account.
Questions we get
What we get asked most about how these pairings are put together.
Why only 67 comparisons and not every pair?
Twenty-six providers would make 325 possible pairs, and most of them are meaningless. Comparing ZeroBounce against Attio produces a table where every row says "different product". We publish the pairs where a team is genuinely choosing between two options for the same job, plus the platform-versus-specialist ones people ask about most, such as Apollo vs Clay.
How do you decide which one wins?
We mostly do not. Each page gives a short answer with the conditions attached, because the right choice depends on volume, geography and what happens to the rows afterwards. Where one provider is clearly better for a stated use case, the page says so plainly. Where the honest answer is "run a bake-off", it says that instead.
Are the cost models real?
The rates are, read from each vendor's own pricing page on 12 September 2026. The workloads are illustrative: 10,000 verified emails, 2,000 mobile numbers. Bulk figures assume the entry-plan rate holds at that volume, which in practice means moving up a tier, and each table says so underneath.