Trivas.ai Documentation: Where to Find Setup, API, and Data Guides
by Trivas.ai
|
6 min read
Sep 25, 2026
Ask five people on your team "where's the Trivas documentation" and you'll get three different answers. That's not a bug in how we organized things, it's just reality when a platform covers API access, ecommerce data integrations, and metric definitions all at once. Trivas.ai documentation isn't one page you bookmark and forget. It's a handful of hubs, each built for a different job.
This post is the map. If you're an engineer wiring up a webhook, an analyst trying to figure out why blended CAC doesn't match your spreadsheet, or an ops person chasing a stalled Amazon sync, you'll find the right doc hub below. We're not duplicating the content here, just pointing you straight at it.
Why Trivas.ai Documentation Is Split Across Multiple Hubs
Here's the logic behind the split. Developer docs handle API endpoints and auth. The data dictionary handles metric definitions and schema. Help center articles handle the day-to-day stuff: connecting a platform, fixing a sync, reading an invoice.
Trying to cram all of that into one doc would make it worse for everyone. A performance marketer troubleshooting a Meta connection doesn't need to wade through webhook payload examples. A backend engineer building a custom integration doesn't need a walkthrough on customizing dashboard widgets.
So this page exists to route you fast. Bookmark it, or just remember three words: developer, dictionary, help.
Developer Docs: API Reference and Integration Guides
Start at developer docs for anything API-related: endpoints, authentication flows, webhook setup. It's the index for everything a developer needs to pull or push data through Trivas programmatically.
One thing worth knowing before you build against it: Trivas runs on Amazon Redshift under the hood. That matters for API consumers because it shapes how data syncs and how often refreshes happen. If you're expecting real-time streaming behavior like you'd get from a raw platform webhook, set expectations accordingly. Redshift-backed systems are built for reliable batch and near-real-time reporting, not sub-second event pushes.
If self-serve docs don't cover your case, especially for anything custom or architecture-specific, API and developer support is the actual place to file a request. It's a different track from the docs themselves: think dedicated help versus reference material.
A typical integration timeline looks like this. Day one, you request and receive API credentials. Next, you run a sandbox pull to confirm auth and payload structure work as expected. Once that's clean, you flip to production and go live. Most teams move through this in a few days, not weeks, assuming credentials and access on the source platform (Meta, GA4, Amazon Ads) are already sorted.
Data Dictionary: Metric Definitions and Schema Reference
The data dictionary is the canonical source for how Trivas defines every metric on the platform: ROAS, blended CAC, contribution margin, all of it.
This matters more than people think. Definitions are the number one cause of "why don't my numbers match" tickets. Not broken syncs, not delayed data. Definitions. Meta reports ROAS one way. GA4 attributes conversions differently. Trivas has its own logic for blending these into a single number. If nobody checks the formula, the mismatch looks like a bug when it's actually just math done two different ways.
Take new-customer ROAS as an example. It's one of the most commonly miscalculated metrics out there, because "new customer" gets defined inconsistently across platforms (first order ever versus first order in a lookback window versus no prior email in the system). The data dictionary spells out exactly which definition Trivas uses and the precise formula behind the number. If your finance team is reconciling against a different tool, that page is where you go first, before you assume something's broken.
Data Integration Docs: Connecting Shopify, Amazon, Ads Platforms, and GA4
For step-by-step connection instructions, data integration guides cover the core platforms: Shopify, Amazon, ad platforms, GA4. Each guide walks through credentials, permissions, and what to expect once the connection goes live.
Trivas supports a lot more than those four, though. The full list, including marketplaces like Walmart, Target, and Etsy, plus tools like Klaviyo and Stripe, lives at data integrations.
Shopify merchants get their own dedicated resource at Shopify integration, which is worth reading even if you plan to install through the app store. And you can install Trivas directly from Trivas AI on the Shopify App Store if you'd rather skip the manual setup steps entirely.
Setup time is short for most of these. Once you've got API credentials or store access in hand, a single-platform connection usually takes under 15 minutes. Multi-marketplace Amazon setups or custom ad account structures take longer, but the standard connections are genuinely quick.
API and Integration Troubleshooting
When something breaks, don't guess. Auth errors, rate limits, and webhook failures are covered in API integration troubleshooting. If it's a broader sync issue, like delayed data, missing rows, or a dashboard number that doesn't match the source platform, general troubleshooting is the better starting point.
The order matters here. First, check sync status. Most "my data is wrong" tickets turn out to be a sync still in progress, not an actual error. Second, check credentials, especially if a platform token expired or permissions changed on the source side. Only after both of those come back clean should you contact support. If data is still stale after 24 hours with sync status showing green and credentials confirmed valid, that's the point where it's genuinely worth escalating.
Dashboards, Reporting, and Billing Docs
Once integrations are live, the next question is usually "how do I build the report I actually want." Dashboards and analytics docs cover customizing BI reporting views, building saved reports, and adjusting what shows up on a given dashboard.
For anything account-related, like plan limits, seat management, or invoice questions, billing and plans has the answers.
And if you're brand new to Trivas and haven't touched any of the above yet, don't start with the deep docs. Start with getting started, which walks through the onboarding sequence in order. Jumping straight to API docs before your first integration is live tends to create more confusion, not less.
Getting Hands-On Support Beyond the Docs
Docs are built for self-serve setup, and they cover most of what a technical team needs. But some things genuinely need a human. Custom dashboards, multi-marketplace Amazon configurations, or anything touching data architecture decisions usually go faster with a real conversation than a doc page.
If you're a technical lead weighing something architecture-level that the docs don't fully answer, talk to a founder is the direct route. It's not a sales formality, it's genuinely where those conversations happen.
For everything else, keep this page as your starting point. Bookmark the help center for general support, and check the developer docs first for anything API-related before filing a ticket. And if you want more of this kind of breakdown as Trivas adds new integrations and features, keep an eye on future posts here.
Content author and contributor at Trivas.ai, sharing insights on e-commerce analytics, business intelligence, and data-driven strategies to help businesses grow.
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