Build native integrations through our scalable Unified APIs
Showcase integrations, partners, and apps to your customers
Vibecoding integrations is easy. Owning them isn't.
Point your agents and your engineers at the product only you can build. Let Apideck run the integration layer underneath it: 200+ providers through one API, with auth, compliance, and every new connector handled for you.
Cost of one integration, over time
AI writes the easy partBuild v1
An afternoon with AI
Own it forever
Breaking changes, auth, new connectors
Can you vibecode API integrations?
Yes. AI coding tools can scaffold a working integration against a single provider in an afternoon, and for the connectors that are core to your product, that speed is a real advantage. Worth knowing before you scale it across a catalog: building v1 was never the expensive part. The cost of an integration is owning it, the breaking API change on the provider's schedule, the OAuth token that stops refreshing, the compliance surface you inherit the moment you touch customer data, and the twentieth connector your customers ask for next quarter. So the useful question is not can you build it. It is which integrations are worth your team owning, and which are undifferentiated plumbing a platform should run for you.
The “but AI is good now” objection
AI is good now. That sharpens the case, in two ways.
It is best at the easy APIs
AI shines on clean, well-documented, public APIs. Real integrations are the opposite: undocumented behavior, auth gated behind partner logins, sandbox access you apply for, and edge cases that only surface in production. The messy, legacy, region-specific connectors your customers want are exactly where generated code needs the most human rescue.
Cheaper tokens prove the point
As tokens get cheaper, writing v1 trends toward free, so the build was never where the cost lived. Cheaper generation does nothing for the breaking change, the token refresh, or the 2am page. The cheaper it is to build, the less that build is any kind of moat.
Spend your build budget where it makes you different
You can build it, and AI makes v1 faster than ever. The decision that actually moves your business is where that speed is worth spending, and where a platform should carry the load so your team does not have to.
Point AI at your product
AI writes a great first version. Aim it at the surface only you can build, where speed compounds into a product advantage, instead of at a connector layer it will not be around to maintain.
Own the logic, not the connectors
Put your team on the product logic only you can build. Run the integrations themselves, core and long-tail alike, on a platform, so even a complex or differentiated integration never means owning the connector plumbing.
Ship the roadmap, not the plumbing
Every engineer-month on integration plumbing is a month not spent on the product your customers actually pay for. Keep your best people on the thing that differentiates you.
Interactive
The plumbing? We already built it.
Everything you would own by building the layer yourself maps to a piece of Apideck that already handles it. Pick a concern to see how.
Handled by
Vault, managed OAuth
Vault manages authentication across 200+ connectors: managed OAuth for the 50+ that use it, and encrypted API-key storage for the rest. Your users authorize once and Apideck keeps every connection alive, so you never build or babysit per-provider auth flows and expiring credentials.
Explore VaultVibecode it yourself, or integrate once with Apideck
The difference is not the first connector. It is everything that comes after it, and who is responsible for it.
Vibecode it in-house
- You maintain every connector against upstream changes
- Auth, rate limits, and pagination are yours to solve per provider
- Each new integration is a fresh build and a fresh liability
- Provider partner programs and app certification are yours to manage
- You carry the compliance and data-retention surface
- On-call for integrations sits with your product team
Apideck Unify
- One integration to 200+ providers across 9 unified APIs
- Auth, refresh, rate limits, and pagination handled for you
- New connectors ship without new code on your side
- Provider access and connector upkeep maintained across the catalog
- SOC 2 Type II, GDPR, EU-hosted, zero data retention by default
- We run the integration layer so your team ships product
Interactive
Do the math before you build
The true cost of an in-house integration layer is rarely the build. It is the tail that follows, for every connector, every year. Drag the sliders to model your own numbers.
What you would own
$120,000
To build (12 engineer-months)
$30,000
Maintenance, every year
3-year total cost of ownership
$210,000
Illustrative estimate, before opportunity cost. Excludes provider API and data-access fees, which apply whether you integrate directly or through Apideck. Apideck replaces the build and maintenance above with one predictable subscription.
When vibecoding an integration is the right call
This is not build versus buy as a religion. Even core and complex integrations run through Apideck, so the real question is narrower: when is a hand-built integration genuinely worth owning end to end?
Build it yourself when
- The behavior is so bespoke that no API, custom field, or passthrough can express it
- It is a quick internal tool or proof of concept, where long-term upkeep is not the point
- You have a strategic reason to own a provider relationship end to end
Use a unified API when
- The integration is core or complex, and you want the depth without owning the upkeep
- You need provider-native endpoints or custom fields (Proxy and field mapping cover them)
- You want new integrations to ship without new code and new on-call
- You would rather not inherit the compliance and data-retention surface
In practice, most teams run everything through Apideck, core and long tail alike, reaching for provider-native calls with Proxy and custom fields where they need extra depth, and hand-build only the rare integration nothing else can express.
Zoom out
The same split is showing up across software: the teams that win with AI own a clean, real-time integration layer, while the ones bolting AI onto legacy plumbing stall. Mambu makes exactly this case for banking, warning that “bolted-on AI fails” when the data and APIs underneath it were never built for it.
Vibecode versus buy: FAQ
- Can you build API integrations with AI?
- Yes. AI coding tools can scaffold a working integration against a single provider quickly, and for a proof of concept or a one-off connector that is genuinely useful. The caution is that building the first version was never the expensive part of integrations. The cost lives in maintaining it: breaking API changes, auth and token refresh, rate limits, data normalization, and every new connector your customers request. AI compresses the cheap part and leaves that maintenance tail with your team.
- Why not just vibecode integrations in-house?
- The trap is treating a whole integration layer as a one-time build. Each connector is a perpetual liability that has to be watched, updated, and re-tested as the upstream API evolves, and the count only grows. You do not have to hand-build the hard or core ones to get depth: core and complex integrations run through Apideck too, with Proxy for provider-native calls and custom field mapping for connector-specific data. Reserve a hand-built integration for the rare case where the behavior is so bespoke that no API, custom field, or passthrough can express it.
- What is the real cost of maintaining integrations?
- The honest cost is (engineers x months to build) plus a recurring maintenance percentage every year, for the life of every connector, plus the opportunity cost of that team not working on your core product. Industry teams routinely find that ongoing maintenance outweighs the initial build over a two to three year horizon, because provider APIs change, auth breaks, and connector counts climb. That is the part a demo never shows and AI never removes.
- Is it cheaper to build integrations or buy a unified API?
- For a single differentiated integration, building can be cheaper. Across a growing catalog of connectors, a unified API is almost always cheaper in total cost of ownership because the maintenance, auth, compliance, and new-connector work is amortized across every customer of the platform instead of falling on your team alone. The right framing is not build versus buy, it is which integrations are worth owning and which are undifferentiated plumbing.
- Does AI make building integrations faster?
- AI makes the first version faster, and that is real. It does not make the integration cheaper to own. The generated code still has to be read, tested, secured, and maintained by your team, and the model is not on-call when a provider ships a breaking change at 2am. AI shifts effort earlier in the timeline without shrinking the maintenance tail that follows.
- Is AI good enough to build any integration now?
- AI is strongest on clean, well-documented, public APIs. The integrations that actually cost you are the hard ones: undocumented behavior, auth gated behind partner logins, sandbox access you have to apply for, and edge cases that only appear in production. On those, a vibecoded first draft is far from production-ready, and the messy, legacy, region-specific connectors your customers want are exactly where AI helps least.
- What is a unified API and how is it different from building direct integrations?
- A unified API gives you one consistent interface to many providers in a category, for example accounting, CRM, or HRIS, so you integrate once instead of once per provider. Apideck normalizes data models, handles auth and token refresh, manages rate limits and pagination, and adds new connectors without changes on your side. Direct integrations mean you build and maintain a separate codebase for every provider, indefinitely.
- Can AI agents use Apideck integrations?
- Yes. Apideck operates a hosted MCP server at mcp.apideck.dev that exposes the Unify API as agent-callable tools over a zero-data-retention pass-through layer. That means your AI product or agent can act across a customer CRM, accounting, and HR systems through one integration layer, instead of vibecoding and maintaining a connector for each system it needs to reach.
Go deeper
More on the build-versus-buy decision and what running integrations actually costs.
Ship the product. Let us own the integrations.
Connect your product to 200+ providers across 9 unified APIs, with auth, compliance, and new connectors handled for you. Build the ones you want to own, and skip the tail.