How to Monetize an API in 2026: Pricing, Distribution, and What You Actually Keep

API monetization means charging for access to a service you run, usually per call, per unit of work, or per subscription. The building part is rarely what stops people. What stops people is everything between a working endpoint and a paying customer: documentation, a billing system, a support inbox, a security questionnaire, and somewhere for developers to find you.

That gap is what API marketplaces and catalogs exist to close, and they all charge for it. The rates vary by a factor of eight, and the headline percentage is frequently not the number that determines your income.

This is a guide to the parts that actually decide what lands in your bank account.

What this guide covers

1. Why the API you already built internally is probably worth publishing
2. What your API needs before it is worth monetizing at all
3. The three routes to market, and who each one suits
4. The five things that determine your take-home, only one of which is the commission rate
5. What each major platform charges, verified against their own documentation
6. How to choose a pricing unit, and why it decides whether AI services are viable to list
7. Whether to keep hosting your API or hand it over, and what that changes about trust
8. How buyers find you in 2026, now that a growing share of them are not people

01The API You Already Built

Most of this guide assumes you set out to sell an API. A lot of people reading it did not.

Almost every engineering team has built the same handful of things. A service that converts documents into whatever the downstream system needs. A validator for a national ID format, a tax number, a bank code. An enrichment step that cleans addresses or normalizes product data. A wrapper around a model that does one specific extraction reliably because someone spent three weeks on the prompt and the retry logic. A transformation nobody else has bothered to get right because it only matters in one industry.

These get built once, for one product, by someone solving an immediate problem. Then they get maintained forever. Patched, upgraded, kept alive through framework migrations, watched in production. That cost is already being paid, every month, for the benefit of one codebase and a handful of internal users.

The capability is almost never specific to the company that built it. The problem it solves is common. The reason nobody else uses it is that turning an internal service into something a stranger can pay for has historically meant building a product around it: documentation, billing, authentication, support, a security posture that survives a questionnaire, and a way for anyone to find out it exists. That is months of work for something that was never the point.

This is the part ApyHub is trying to remove. If you already run the service, the marginal cost of publishing it should be close to zero, because the hard part is already done and paid for. Point at the endpoint, review what the system drafts, set a price in atoms, publish. The infrastructure you are already maintaining starts earning against 65,000+ developer workspaces that use the catalog every month, and against the agents calling on their behalf.

That audience matters more than its size. It is not a list of people you have to convince. They already have accounts, they already have atoms to spend, and in the case of the enterprise accounts they have already been through procurement. A developer who needs the thing you built can call it without a signup, a card, or a purchasing conversation. There is no cold start.

You do not have to start a company. You do not have to leave your job or turn a side project into a business. You built something reusable, you are already paying to keep it running, and it can have a second life earning money from the people who would otherwise build it badly themselves.

Everything below is what to do if that sounds worth ten minutes.

02Before You Monetize: What Your API Needs First

Monetization exposes every weakness in a service at once. Free users tolerate a breaking change. Paying users file tickets, and enterprise buyers ask questions before they pay at all.

Five things worth having in place before you list anywhere.

A versioning strategy. Not a version number, a strategy. What counts as a breaking change, how much notice consumers get, and how long old versions stay reachable. If the answer is currently "we push and see," a paying customer will discover that for you.

Error responses that mean something. Consistent status codes, machine-readable error bodies, and a distinction between "your request was wrong" and "we are having a problem." A developer debugging at 2am is deciding whether to keep paying you.

A known behavior under load. What happens at ten times your current traffic. Whether you degrade, queue, or fall over. You do not need to be able to handle it, you need to know what it does, because you are about to be asked.

Documentation that survives contact with a stranger. Not the README you wrote for yourself. On a platform with AI-assisted publishing, much of this gets drafted for you from a spec, but the accuracy of what it drafts depends on the accuracy of what you point it at.

The legal right to what you return. This is the one that ends businesses rather than damaging them. If the core function of your API depends on accessing a platform whose terms forbid it, that is not a risk to manage, it is a foundation problem. ApyHub rejects APIs whose primary function violates a third party's terms of service, and any platform serious about enterprise buyers will do the same. Where a compliant path exists, usually by having the consumer bring their own credentials, take it before you build the business on the other one.

None of this is exciting. All of it comes up in the first month of having real customers.

03The Three Ways to Monetize an API

Sell it yourself. Your own site, your own Stripe account, your own docs, your own support. You keep close to 100% of revenue and you own the entire cost of acquiring every customer. This works when you already have an audience or when your API is specialized enough that buyers search for it by name.

Publish through a marketplace or catalog. Someone else provides discovery, billing, authentication, documentation hosting, and a paying audience. You give up a percentage. This works when the platform's audience overlaps with your buyer and when the operational load you shed is worth more than the cut.

Both. Most successful providers run direct sales for large accounts and use a catalog for self-serve and discovery. Whether this is possible depends entirely on the platform's exclusivity terms, which is the first thing to check in any provider agreement.

There is no universally right answer. There is a right answer for your specific API, your audience, and how much operational work you want to own.

04What Actually Determines What You Keep

Five things, in roughly descending order of financial impact. The commission rate is only one of them.

1. The commission rate. The headline number. Ranges from 3% to 25% across major platforms for comparable products.

2. Who pays for infrastructure. This is the one that catches people. A platform advertising an 80% revenue share while deducting your compute costs from your side of the split is not the same as a platform taking 20% of gross. Read the payout formula, not the headline.

3. Payment processing and payout fees. Frequently separate from the commission, and frequently structured to hit small payouts hardest.

4. How long the money takes to arrive. A 25% commission paid in 60 days costs a bootstrapped provider more than a 25% commission paid in 30. Working capital is not free.

5. Whether the pricing unit fits your cost structure. If a platform only bills per request and your costs scale with payload size, you are subsidizing your heaviest users out of the revenue from your lightest ones. Over time this selects for exactly the customers you least want.

Criterion 5 is the one almost nobody evaluates before signing up, and it is the one that compounds.

05What the Platforms Take

Here is where the abstract criteria above become numbers. Five platforms, what each one charges, and what each one is genuinely good and bad at. Every entry gets both, including ApyHub, because a comparison where one vendor has no downsides is not a comparison.

Verified against each platform's own documentation, August 2026. Rates change, so check the source before making a decision.

RapidAPI (Nokia API Hub)

The largest general-purpose API marketplace by audience, acquired by Nokia in late 2024. If raw reach is the only thing you care about, this is still the biggest room.

RapidAPI's payouts documentation states a flat 25% marketplace fee on all payments made through the hub, covering payment processing, infrastructure, and administrative costs. Payouts go through PayPal only, and the PayPal payout fee is not covered by the marketplace fee.

The timing is worth reading carefully. Charges for a given month are consolidated and processed at the end of the following month, which means revenue earned in January reaches a provider's account in early March.

• Where it shines: Largest audience of any general catalog. Established buyer habit. Enterprise Hub option for private catalogs.
• Where it lags: Highest commission in the comparison. PayPal-only payouts. Roughly two months between earning and receiving. Strategic direction has shifted toward telecom under Nokia ownership.

Apify Store

Strong within a narrow lane, mostly scraping, extraction, and automation Actors.

The revenue share is 80% to the developer, but the formula matters more than the percentage. Apify's pay-per-event documentation gives it explicitly: profit equals 0.8 multiplied by revenue, minus platform usage costs. You are hosted on their infrastructure and you pay for that infrastructure out of your 80%. Their docs note that an Actor's net profit can be negative.

Apify is also retiring its rental pricing model on a published timeline, with new rental Actors blocked from April 2026 and full retirement scheduled for October 2026, after which remaining rentals auto-migrate to pay-per-usage. Providers who have not moved to pay-per-event deliberately are being moved to a model they did not choose.

• Where it shines: Genuinely granular event-based pricing. You define chargeable events in code and price each one. Established buyer base for scraping workloads.
• Where it lags: You carry the compute cost inside your share, which makes your effective take variable and occasionally negative. Narrow category fit. A pricing model migration is currently underway with a hard deadline.

AWS Marketplace

The cheapest listing fee in the comparison and the least discovery.

AWS publishes its listing fees directly: 3% for public SaaS and Data Exchange offers, 20% for server, container, and machine learning products, and 1.5% to 3% for private offers depending on total contract value. These rates date from a January 2024 restructuring that cut and standardized seller fees. For a SaaS-delivered API, 3% is dramatically better than anything else here.

The catch is that AWS Marketplace is a procurement channel, not a discovery channel. It solves the problem of an enterprise buyer wanting to spend committed cloud budget with you. It does not solve the problem of that buyer not knowing you exist. Listing is also slow, review cycles run weeks, and the pricing model you choose is locked permanently for that listing.

• Where it shines: 3% on public SaaS listings. Direct access to committed cloud spend. Serious procurement credibility.
• Where it lags: No meaningful discovery for a small API. Weeks to list. Pricing model cannot be changed after publishing. Realistically only worth it above a certain deal size.

Zyla API Hub

A large resold catalog, in the region of 10,000 APIs, with a separate subscription per API for the consumer. Provider terms are not published, which is itself the relevant fact for anyone evaluating it.

• Where it shines: Large catalog, low barrier to listing.
• Where it lags: Commission not publicly disclosed. Per-API subscriptions on the buyer side create friction that reduces trial volume. No continuous verification of listed services.

ApyHub

The newest catalog in this comparison and the fastest growing, with new services and providers onboarded weekly. AI capabilities are the fastest-growing category inside it, and the reason for that is the billing unit, which the next section covers in detail.

Every service is verified before it lists and ships with machine-readable certification covering data residency, retention, sub-processors, and standards alignment across GDPR, SOC 2, and ISO 27001. Curation is a deliberate constraint rather than a stage the catalog is growing out of.

The revenue split is published and comes in two rates, and you pick. Keep your own infrastructure and take the larger share, with the operational burden staying yours. Move onto ApyHub infrastructure and the share is smaller, with nothing left for you to operate. The gap between those two rates is a real number, which means for the first time you can see what running your own infrastructure is actually worth.

[VERIFY: insert the two published split percentages. The provider page references a transparent split but the figures are not in the source material I have.]

Publishing is self-service and AI-assisted, and it starts from whatever you already have. Drop in an endpoint URL, upload an existing OpenAPI spec, or bring the collection you already use to test the API against. The system introspects it, drafts the schema, writes the documentation in the ApyHub house style, builds the request and response examples, validates everything against the ApyHub standard, and previews how your API will look in the catalog for both humans and agents.

You review the draft, edit what is wrong, accept what is right, and publish. Under ten minutes for a simple API, an afternoon for something more involved. There is no forty-field submission form, no documentation template to fill in by hand, and no review queue to wait in.

You keep 100% of your intellectual property and the provider agreement explicitly permits selling the same API elsewhere. No exclusivity. Host anywhere you can route HTTPS from.

• Where it shines: Atoms pricing lets you charge by payload size, tokens, or compute rather than per request, which is what makes AI and heavy-processing services viable to list at all. You can hand over hosting entirely and run behind ApyHub's EU and US gateways, or keep your own and take a larger share. Certification you inherit rather than build. Publish from a spec or a collection in minutes. No exclusivity.
• Where it lags: Newest platform in the set, with a shorter track record than RapidAPI's decade. Verification is a gate, so not every submitted API is accepted. Buyers spend atoms from a shared catalog subscription rather than paying you a dollar price directly, which is a different mental model to get used to.

06Pricing: The Unit Matters More Than the Number

Choosing a platform is the decision people agonize over. Choosing a pricing unit is the decision that quietly determines whether the business works, and most providers make it by accepting whatever the platform defaults to.

Most API marketplaces bill in raw request counts. A thousand calls is a thousand calls, whether that is a 200-byte currency lookup or a 12MB document going through OCR.

For a simple validation endpoint this is fine. For anything where cost scales with the work, it is a structural problem. If your heaviest requests cost you fifty times what your lightest ones cost, and you charge the same for both, you have three bad options: price high and lose the light users, price low and lose money on the heavy ones, or price in the middle and slowly accumulate exactly the customers you cannot serve profitably.

This has become sharper as AI capabilities enter catalogs. Inference costs vary by orders of magnitude across models, input length, and output length. A request count tells you nothing about any of that.

Pricing in atoms

ApyHub prices in atoms, a unit small and expressive enough to bill both a tiny endpoint and a heavy compute call honestly. As a provider you set how many atoms a call to your API costs, and you can change it whenever you want.

There are three ways to structure that, and the right one depends entirely on what drives your own bill.

Flat per call. One price, every request. Right for deterministic endpoints where the work does not vary: a format validation, a checksum, a dictionary lookup.

Tiered by payload size. Price scales with the input. Right for file conversion, compression, OCR, media transcoding, anything where a megabyte is a real unit of cost. A one-page PDF and a two-hundred-page PDF stop being the same product.

Tiered by complexity or compute. Price scales with what the request asks for. Right for AI inference, where model choice, context length, and output length all move the underlying cost, and for video processing, where resolution and duration do.

You can combine these. An OCR endpoint might charge a base rate per document plus an increment per page, with a higher rate when a vision model is invoked rather than a text layer being read directly.

Why the unit decides whether AI services can list at all

This is the part that matters most right now, and it is why AI is the fastest-growing category in the ApyHub catalog.

An AI service has no stable per-request cost. The same endpoint can cost a fraction of a cent or several cents depending on which model runs, how long the input is, how long the output is, how many pages the document has, or what resolution the image arrived at. The variance is not ten percent. It is routinely two orders of magnitude.

A platform that bills only in request counts cannot express that, which leaves a provider two options and both are bad. Price at the worst case, and every ordinary request is overcharged until buyers leave. Price at the average, and a handful of heavy users quietly consume the margin earned from everyone else. Most providers of AI capabilities run that arithmetic and decide not to list at all, which is why general marketplaces built on request counts have thin AI sections.

Atoms remove the constraint. You can charge per thousand tokens, per page, per image, per second of audio, per model tier, or any combination, because the unit is small enough to express the difference and the platform meters what you tell it to meter. Pricing a summarization endpoint differently for a two-paragraph input and a forty-page contract is not a workaround. It is how you state what the request actually cost you.

The same mechanism carries anything with variable compute: video transcoding priced by resolution and duration, OCR priced by page count and by whether a vision model was needed, document parsing priced by file size.

None of this fragments the bill on the buyer's side. A consumer's single subscription spends atoms across the whole catalog, so a currency lookup and a vision model call draw from the same pool. That is what lets a provider price honestly without asking the buyer to make a fresh purchase decision for every service they add.

The point is not that granular pricing is novel. Apify's pay-per-event model does something structurally similar within its own platform, and does it well. The difference is where the unit lives. An atom is a catalog-wide unit that a consumer's single subscription spends anywhere, so a buyer who already has atoms can call your API without a new signup, a new card, or a new procurement conversation. Your pricing granularity does not come at the cost of a fresh purchase decision every time.

A practical rule

Price the thing that drives your cost. If your bill from your cloud provider scales with megabytes, price in megabytes. If it scales with tokens, price with something that tracks tokens. Every gap between your cost driver and your pricing unit is a place where a customer can be unprofitable without either of you noticing.

07Hosting: How Much You Actually Get to Shed

Every other platform in this comparison assumes you run the service. The commission buys discovery and billing. The 3am page is still yours.

ApyHub prices both sides of that choice and lets you pick.

Keep your own infrastructure and take the larger share of revenue. You still buy the servers, you still handle scaling, and you are still the one who gets called when a region goes down.

Move onto ApyHub infrastructure and the share is smaller, with nothing left for you to operate. Your service runs behind ApyHub's EU and US gateways. Authentication, rate limiting, burst handling, scaling, uptime, observability, and billing are handled at the platform layer, implemented once and applied consistently across the catalog rather than rebuilt by every provider separately.

The gap between those two rates is a published number. For most providers it is also the first time anyone has priced their own infrastructure work as a line item, which makes it a useful thing to look at even if you decide to keep hosting yourself.

Why hosting changes what trust means

This matters more than the operational relief, and it is the part worth understanding before you choose a side.

Certification can only reach as far as observation. When a provider hosts elsewhere, a platform certifying that service is repeating what the provider asserted: this is where the data lives, this is how long it is retained, these are the sub-processors. Reasonable, and unverified.

When the service runs on ApyHub infrastructure, the certification stops being a claim and becomes a record. Where data resides is a fact about the gateway the request passed through. Latency is measured rather than stated. Regional routing is a property of the deployment rather than a sentence in a document.

For a provider, that is a credibility surface you inherit rather than build. Small teams and solo providers lose enterprise deals less often because the API is worse and more often because they cannot answer the security questionnaire. Running inside a certified layer with EU and US gateways answers a large part of that before it is asked, and it is the same artifact that gets a service shortlisted in procurement review.

Why agents trust it differently

A human developer builds trust slowly: a name they recognize, a company they have heard of, a feeling about a vendor. An agent has none of that. An agent can only trust what it can check.

An agent calling through ApyHub reads the certification attributes attached to a service before it acts, and for a hosted service those attributes describe infrastructure the platform operates rather than a vendor's description of their own setup. The agent is not weighing reputation, because it has no mechanism for that. It is reading a verifiable property.

The certification travels with the service as a machine-readable artifact, which means an agent can read it the same way a developer reads a docs page: data residency, retention, sub-processors, standards alignment, and how current that information is. Both audiences are checking the same record.

For a provider that is a commercial fact rather than a philosophical one. As more calls originate from software than from people, being a service an agent can check is the difference between being available and being chosen.

08Distribution: How Buyers Actually Find You

Pricing and hosting decide what you keep. Distribution decides whether there is anything to keep a percentage of.

The discovery problem on a large marketplace

The pitch for a big marketplace is the audience. The reality is that an audience is only useful if it can find you inside it.

On a platform hosting tens of thousands of APIs, the shelf is not a shelf, it is a search index. Being listed alongside two hundred other services doing approximately what yours does means competing on search ranking inside someone else's product, with no control over the algorithm and no way to differentiate except price. Providers describe the same pattern repeatedly: strong early traffic from novelty placement, then a long slide as newer listings arrive.

A curated catalog inverts this. Fewer services means fewer competitors on the same shelf, and a verification gate means the ones there are not padding. The trade is real and it runs both ways: a smaller catalog is a smaller audience, and a gate is something you have to get through.

Your own discovery still matters

No platform removes the need for you to be findable. Documentation that ranks, a clear statement of what your API does in the words people search for, and a presence wherever your buyers already are. A catalog is a distribution channel, not a marketing department.

The difference a good one makes is that a buyer who finds you already has an account, a payment method, and in most cases a completed procurement review. The distance between discovering you and calling you is one request rather than one purchasing cycle.

Your buyer might not be a person

The material change in 2026 is who is making the call.

An increasing share of API traffic originates from agents that search for a capability, evaluate what they find, and execute against it inside a single workflow. That buyer does not read your landing page, does not compare your pricing tiers, and does not have a favorite vendor. It reads structured descriptions of what services do and picks one.

This changes what distribution means. Being listed is no longer enough if being listed means a human has to find you first.

Every endpoint in the ApyHub catalog is exposed through ApyHub's native MCP server, including anything you publish. Model Context Protocol is the standard that lets an AI system connect to external tools in a structured, machine-readable way. An agent connected to ApyHub MCP can search the catalog at runtime, read what your API does and what it expects, compare it against other services solving a similar problem, and call it as part of its own execution flow. No wrapper, no hand-written tool definition, no glue code written by anyone.

You do not build for this. It is how your API is exposed the moment it publishes. A category of buyer that did not exist three years ago finds you on day one.

09A Checklist Before You Publish Anywhere

Eight questions. Any platform worth publishing on will answer all of them without you having to dig, and how hard an answer is to find tells you as much as the answer does.

1. Read the payout formula, not the headline percentage. Specifically, find out whether infrastructure costs come out of your share.
2. Find out when the money arrives. Thirty days and sixty days are different businesses at small volume.
3. Check the exclusivity clause. If you cannot sell the same API elsewhere, the commission is not the real price.
4. Check who owns the IP. This should be an easy answer. If it takes reading to find out, that tells you something.
5. Match the pricing unit to your cost driver. If the platform only bills per request and your costs do not, model what happens at scale before you commit.
6. Ask whether you can hand over the hosting. Most platforms take a commission and still leave you operating the service. If a platform will run it, find out what that costs against what you would spend on infrastructure and on-call.
7. Ask what happens if you want to leave. A sunset path that protects your existing customers is a sign of a platform that expects to be judged over years.
8. Ask whether agents can reach it. If your API is only discoverable by a human reading a listing page, you are addressing a shrinking share of the market.

10Where This Leaves You

There is no single best platform, and any guide that concludes otherwise is selling something. There is a best fit for a given API, a given buyer, and a given appetite for operational work. Four common cases.

If you have an enterprise API with deals above roughly fifty thousand dollars and buyers with committed cloud spend, AWS Marketplace at 3% is difficult to argue with, and the lack of discovery does not matter because your sales motion provides it.

If you have a scraping or extraction Actor and you want maximum reach in that specific category, Apify's audience is real, as long as you model the platform costs coming out of your share.

If pure audience size is the only variable you care about and the commission is acceptable, RapidAPI remains the largest room.

If your API is an AI capability, or anything else where the cost of a request varies with the work, that is the case for publishing on ApyHub. It is also the case if enterprise buyers will need to vet your service before they can use it, or if you would rather not spend the next year building documentation, billing, certification artifacts, and agent compatibility yourself. The buyer on the other side has already cleared procurement, already has atoms to spend, and runs agents that can find you without a human in the loop.

And if you are here because you already run something useful and had never thought of it as a product, the calculation is simpler than any of the above. You are paying to maintain it regardless. Publishing it costs an afternoon at most and cannot cost you the API, since you keep the IP and can sell it anywhere else you like. The only real question is whether anyone else has the problem you solved, and the answer is usually yes.

Pick the platform that matches your API and your buyer. Then read the payout formula anyway.

11FAQ

The questions providers ask most often before listing.

How much do API marketplaces take? Between 3% and 25% for comparable products, depending on the platform. AWS Marketplace charges 3% on public SaaS listings, Apify takes 20% of pay-per-event revenue, and RapidAPI charges a flat 25%. Always check whether infrastructure costs come out of your share on top of the commission.

What is the cheapest way to monetize an API? Selling it directly from your own site has the lowest fees and the highest cost of acquiring each customer. A catalog costs a percentage and provides discovery, billing, and an existing audience. Which is cheaper depends entirely on how much you would spend acquiring those customers yourself.

Can I sell the same API on more than one platform? It depends on the provider agreement. Some platforms require exclusivity. ApyHub does not, and the provider agreement explicitly permits selling the same API elsewhere, including from your own product.

How should I price an API? Price the thing that drives your cost. Flat per call works for deterministic endpoints. Tier by payload size when megabytes drive your bill. Tier by complexity or compute for AI inference and media processing, where the same endpoint can cost you fifty times more on one request than another.

How do I price an AI API? Price the variable that drives your inference cost, not the request. That usually means tokens, pages, images, or seconds of audio, often with a different rate per model tier. Atoms are small enough to express the difference, which is what makes it possible to list an AI service without either overcharging light users or losing money on heavy ones.

Can I publish from an existing OpenAPI spec or collection? Yes. Drop in an endpoint URL, upload an OpenAPI spec, or bring the collection you already use for testing. The system introspects it and drafts the schema, documentation, and examples for you to review before publishing.

Can I publish an internal tool as an API? That is the most common starting point. Utilities built for one product, a validator, a converter, an enrichment step, an extraction wrapper, are usually solving a problem other teams also have. You are already maintaining the service, so the marginal cost of listing it is small, and you keep the IP and the right to use it however else you want.

Do I need a company to publish an API? Not on ApyHub. Companies invoice for their payouts, and individual developers are paid by direct bank transfer.

Who owns the intellectual property in an API I publish? On ApyHub, you do. The provider agreement protects your IP and does not claim any interest in it.

Where do I have to host my API? On ApyHub, anywhere you can route HTTPS from: your own cloud, a VPS, on-premise hardware, or ApyHub infrastructure. The revenue split differs depending on which you choose, and hosting with ApyHub means a smaller share with nothing left for you to operate.

What does ApyHub handle if it hosts my API? The service runs behind ApyHub's EU and US gateways, with authentication, rate limiting, burst handling, scaling, uptime, observability, and billing handled at the platform layer. You ship the capability and nothing else.

Does hosting with ApyHub change how my API is certified? Yes, and this is the main reason to consider it. Certification of a service hosted elsewhere records what the provider asserts about data residency, retention, and sub-processors. When the service runs on ApyHub infrastructure, those become observed properties of the deployment rather than claims, which is a materially stronger artifact in front of an enterprise buyer or an agent reading the certification before it calls.

How long does it take to publish an API? On ApyHub, under ten minutes for a simple API. Point at an endpoint, the system drafts the spec, documentation, and examples, and you review and publish. AWS Marketplace typically runs several weeks including review.

Do AI agents count as customers? Increasingly they are the customer. Every endpoint published on ApyHub is exposed through the native MCP server, so an agent can discover, evaluate, and call your API without anyone writing an integration for it.

What happens if I want to retire an API later? Check this before you publish anywhere. On ApyHub there is a defined sunset path with notice periods and migration windows designed to protect the developers who built on top of your API.

12About ApyHub

ApyHub is a curated API catalog and the trusted operational layer for external APIs. The catalog covers 400+ services and 1,400+ endpoints across AI, data processing, documents, video and image editing, validation, and more, all available under a single subscription priced in atoms, with new APIs and providers onboarded continuously.

Every endpoint ships with machine-readable certification covering data residency, retention, sub-processors, and standards alignment across GDPR, SOC 2, and ISO 27001. Every endpoint is MCP-ready by default, so AI agents can discover and call it without a wrapper.

ApyHub is headquartered in Amsterdam, with offices in the Netherlands, Greece, and India, and serves 65,000+ developer workspaces every month. There is a free tier and no card is required to start.

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