Custom Integrations by Databox - Bring missing data into Databox without writing code
by•
Custom Integrations lets you connect virtually any API to Databox without writing code. Turn API responses into structured datasets and analyze them alongside your other sources to get a complete view of performance.
Replies
the 'export to spreadsheets' loop is basically a part-time job for revops teams at this point. 😅 every time a client asks for a metric from a niche tool, we end up in a manual sync nightmare. being able to turn an api response into a structured dataset without code is a massive time-saver. @zigapotocnik
Databox
@priya_kushwaha1 "Part-time job for RevOps" is painfully accurate - and it's one of those things that never makes it onto anyone's official task list but somehow eats hours every week. The structured dataset piece is what makes it stick: you set it up once and that particular spreadsheet export just stops existing. Glad it landed for you!
Databox
There is always at least one tool in every team's stack that does not connect to their reporting. Something internal, something niche, something built before anyone thought about APIs. Custom Integrations is the answer to that - not a workaround, not a one-off script, but a connection that syncs automatically and becomes part of your workflow the same way every other integration does.
Super proud to be part of the team behind this. Custom Integrations has shown up in so many customer conversations, usually right after someone lists all the tools they can’t live without and we all collectively sigh 😄
Seeing it come to life like this, and done properly, is a big milestone. Massive shoutout to everyone who brought it over the line.
Honestly the most valuable part here is letting non-technical teams pull API data themselves.
Databox
@himani_sah1 That's exactly the unlock we were going for. The data was always there - the blocker was always needing someone technical in the loop to get it out. Removing that dependency is the whole point.
Nas.com
Does it handle rate limits automatically or do users configure that manually?
Databox
@nuseir_yassin1 Rate limits aren't handled automatically right now - there are no built-in controls for that yet. The practical workaround is adjusting your sync frequency and pagination settings to stay within your API's limits. If you hit a 429, that's the signal to dial back. It's a known gap and something we'll be looking at as the feature matures.
Databox
@nuseir_yassin1 @ziga , allow me to add that we are testing simple, configurable, time-window-based rate limits on datasets built on top of Custom integrations, and we're very close to release. It's a starting point for rate limiting on this new feature, and we'll improve it based on user needs and demand in the future.
GrowMeOrganic
Would be cool if you added community-built connectors where users can fork/edit integrations.
Databox
@iamanantgupta This is actually on our radar - shareable integrations where setups can be passed from user to user (or made available more broadly) is something we've been thinking about as a natural next step. The fork/edit angle is an interesting framing for it. Glad the demand signal is there.
Databox
From a sales ops perspective, Custom Integrations are powerful because they unlock every tool in your stack, not just the popular ones. The niche platform your SDRs love, the legacy system finance runs on, the internal tool no vendor will ever build a connector for. All of it can flow into the same dashboards as your CRM and revenue data.
That means one full picture of performance, faster answers for leadership, and trends you can actually see across the whole funnel. If it has an API, it can drive your reporting. Nothing in your stack is off-limits anymore.
Combine this with Genie AI Analyst and the possibilities are unlimited.
the long tail of tools nobody integrates is the actual pain. coming from analytics myself, ive lost full afternoons stitching csvs from some niche tool nobody else uses just to get one chart. being able to point at any api and get a clean dataset out the other side is the kind of unsexy infra work that quietly saves teams hours every week.
Congrats on the launch !!!
Databox
@saad_el_gueddari "Unsexy infra work that quietly saves hours" is probably the most accurate description of what this is - and exactly the kind of thing that never gets celebrated but everyone feels when it's gone. Lost afternoons stitching CSVs for one chart is a real cost that just doesn't show up anywhere. Appreciate the kind words, and glad it resonates from someone who's lived it.
Simple idea but high impact .Getting all your data in one place without code is still harder than it should be this moves things forward.
Databox
@elliot_grant1 Exactly the framing we had in mind - the idea isn't new, but the execution gap was real. "Harder than it should be" is what we kept hearing, so that's what we went after. Appreciate it!
Databox
One of the things that makes Custom Integrations genuinely useful for ongoing reporting is that the datasets sync automatically. You are not managing a one-time import or triggering a refresh manually. The data stays current, which means the reports built on top of it stay current too. That is the difference between a connection teams keep and one they quietly stop using.