An analytics agent by Qvasa

Quin

Early access

Your analytics assistant.

Build a dashboard from one prompt. Spin up brand new AI analyses on data you weren't tracking yet — backfilled across your history. Ask complex questions in plain English and get the answer, not a homework assignment.

Meet Quin

An analyst that already knows your data — and how to ask better questions of it.

Quin sits on top of every metric, chart, filter, and conversation in Qvasa. It builds dashboards, reads tickets, classifies what it finds, and turns plain-English questions into the kind of analysis that used to take an analyst a week.

Most tools chart what you have. Quin creates the analysis, builds the filters, and gives you the answer — from one question.

01

Ask anything. Get the real number.

Skip the dashboards. Ask Quin a question about your support data — by group, organization, ticket field, or AI classification — and get the answer right in chat, with the breakdown to back it up.
  • Answers questions across every ticket field, agent, organization, and AI-classified attribute.
  • Numbers come straight from your live support data — no exports, no spreadsheets.
  • Follow up to drill in: filter, group by, segment, time-bucket — same conversation.
02

Build a dashboard from a single prompt.

Describe what you want to see. Quin chooses the right charts, wires up the right filters, and assembles a multi-tab dashboard in seconds. Fifteen widgets, three tabs, zero config menus.
  • Knows the full Qvasa widget library — quick stats, time series, donuts, leaderboards, configurable tables.
  • Picks the right visualization for each metric automatically.
  • Pre-configures filters, segments, and date ranges.
03

Build or refine widgets. In one sentence.

Whether you're adding a brand-new widget or tweaking one you already have, just describe what you want. Quin combines standard ticket fields — group, channel, status, date range — with AI-classified attributes like sentiment, churn risk, and refund intent, then drops the widget on the right dashboard tab pre-configured.
  • Add new widgets or refine existing ones — same conversational interface.
  • Mixes standard ticket field filters with AI-generated classifications in a single ask.
  • Quin picks the chart, names the widget, and pre-fills every filter before you commit.
04

Create an AI analysis that didn't exist yet.

Ask Quin about something you're not tracking — churn risk, frustration, refund intent, escalation likelihood — and Quin spins up a brand new AI classifier, backfills your history, and starts auto-classifying every new ticket going forward.
  • No data engineering. No custom attributes. No manual tagging.
  • Historical context appears in seconds — not weeks.
  • Every new ticket gets classified automatically going forward.
05

Wherever your team already works.

Quin lives in Slack too. @quin from any channel and pull real numbers from your support data into the conversation — no tab-switching, no context loss, no "let me go check".
  • Replies are threaded so the question, the answer, and the discussion all live together.
  • Permissions follow the user — Quin only surfaces what each teammate can already see in Qvasa.
Connect your own tools

All your data. One API. Any agent.

Qvasa ingests live data from every layer of your support stack — helpdesks, messaging, AI bots, and workforce management platforms — and exposes it through the AI Agent API. Quin and your own agents work on the same Qvasa platform: plug in Claude Cowork, your in-house copilot, or any MCP-compatible agent you trust.

Real-time integrations
ZendeskZendesk TalkSunshine ConversationsQuiqForethoughtAWS S3TymeshiftAssembled
Real-time ingestion
The platform

Qvasa AI Agent API

One queryable surface for every metric, ticket, classifier, and conversation in Qvasa.

Query · answer
Use Quin or any agent of your choice
Q QuinQvasa's first-party agent
Claude ClaudeCowork or any Anthropic-built agent
Gemini GeminiOr any Google-powered copilot
MCP Any MCP clientStandard interface, standard auth
Three ways to connect an agent
1 Connect by URLAdd Qvasa as a custom connector in Claude, log in, and pick your scopes.
2 One-click bundleDownload qvasa-mcp.mcpb for Claude Desktop.
3 CLIuvx qvasa-mcp from PyPI for Claude Code and Cursor.

Meet Quin.

See it build a dashboard, create a brand-new AI analysis, and answer the question your old reporting tool couldn't — in 60 seconds. Quin is in early access, and we are onboarding new teams now.