See exactly where your credits go

Use Cases

Data Analysis Agent

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Automatically triage issues and spot patterns.

CRM Agent

Manage your CRM without clicking into your CRM.

Meeting Prep Agent

Triage, summarize and resolve requests.

Call Analysis Agent

Understand what's working through natural conversation.

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Insights Dashboard

Understand which models are driving costs, who's using what, predict future spend, and compare what you would have spent with different models.

Per-token costs are rising, and tokenmaxxing is out (good riddance). And as more and more teams integrate agents into their work, admins are less concerned with "How can we get our people to start using agents?" and more concerned with "How can we ensure our team uses their agents in the most cost-effective and efficient way?"

For our Enterprise customers, we’ve just introduced Insights, an analytics dashboard that gives you full visibility into how your organization uses Gumloop. Find out which agents and models are driving most of your spend, see who's actually adopting agents, and project next quarter's budget based on your real usage data. You can even calculate exactly how much a different model would have increased or decreased your credit spend.

Get an overview at a glance

When first you enter the Insights panel, the first thing you see is a one-sentence overview of your organization’s credit consumption trends over the selected time period: for example, "You spent X credits, down Y% versus the last 30 days. Claude 4.6 Sonnet and Gemini 3.5 Flash drove Z% of spend."

See spend by model

In the Models section of the Insights panel, you can break down your spend by model and provider. A sortable per-model table reveals which agents and users drive the cost for each model.

Drill down to every agent and every user

The Credit Explorer section gives you a pivot table to group credit spend by agents, users, and models. Expand any row to see full details, all the way down to individual interactions with credit counts, models used, and exact costs. Rows link straight to the relevant agent, so you can identify and address problematic/overly expensive agent behavior immediately.

Forecast future spend based on real data

Insights can also project your future credit spend across a quarter, half-year, or year, with three projection lines: an expected trend, a conservative flat run-rate, and a confidence band around them.

The forecast is changepoint-aware, so if your usage jumped three weeks ago, Insights detects that shift and forecasts from the new level. That way, a recent scale-up doesn't get diluted by months of older, lower usage.

Automate any workflow with AI. No coding required.