Build a data analysis agent for every team
Ask questions across spreadsheets, databases, docs, and business tools, then get source-backed reports your team can reuse.
Works with
Trusted by data-driven operations teams
Built for operations, finance, analytics, RevOps, and team leads
What were our key metrics last week? I need a quick summary for the leadership sync.
Here is last week's KPI snapshot across your connected sources:
| Metric | This Week | Prior Week | Change |
|---|---|---|---|
| MRR | $482,300 | $471,100 | +2.4% |
| Active Users | 12,847 | 12,390 | +3.7% |
| Support Volume | 318 tickets | 402 tickets | -20.9% |
| NPS | 61 | 58 | +3 pts |
| Pipeline Created | $1.24M | $890K | +39.3% |
Pipeline created jumped nearly 40% driven by the Meridian and NovaTech enterprise deals entering discovery. Support volume dropped after the v4.2 patch resolved the SSO bug. Want me to format this as a Slack brief for #leadership?
Yes, post it to #leadership and flag the pipeline jump.
Done. Posted the KPI brief to #leadership with the pipeline increase highlighted. I also added a note linking the $1.24M to the two new enterprise opportunities with source records attached.
Weekly Active Users
Last 14 days
Customize your agent
Give your agent superpowers by connecting apps
Google Sheets
PostgreSQL
Google Drive
Notion
Slack
Gmail
Outlook
Discord
Google Calendar
Google Maps
Linear
Jira
GitHub
HubSpot
LinkedIn
Apollo
Gong
Google Ads
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5 Tools- KPI analysis
- Source-backed reports
- Metric alerts
Build your data agent once, run it across every source.
Connect your tools
Connect spreadsheets, databases, docs, warehouse exports, and team channels so analysis starts with live context.
Add custom skills
Teach the agent metric definitions, trusted source order, reporting cadence, and escalation rules.
Show the calculation
Every result includes the formula, source rows, and time window used.
Respect source priority
Prefer warehouse data over manual sheets unless the team explicitly overrides it.
Flag unusual movement
Call out deltas, missing rows, and source freshness before sharing conclusions.
Use fast checks for routine metric refreshes and deeper reasoning when the analysis needs reconciliation across systems.
Interact with agents like colleagues
Tag @Spinrun in your favorite channels and ask questions. Replies come back with sources and clear next steps.
#data-briefs
What were our key metrics last week? I need a quick summary for the leadership sync.
Here is last week's KPI snapshot across your connected sources:
| Metric | This Week | Prior Week | Change |
|---|---|---|---|
| MRR | $482,300 | $471,100 | +2.4% |
| Active Users | 12,847 | 12,390 | +3.7% |
| Support Volume | 318 tickets | 402 tickets | -20.9% |
| NPS | 61 | 58 | +3 pts |
| Pipeline Created | $1.24M | $890K | +39.3% |
Pipeline created jumped nearly 40% driven by the Meridian and NovaTech enterprise deals entering discovery. Support volume dropped after the v4.2 patch resolved the SSO bug. Want me to format this as a Slack brief for #leadership?
Keep them watching in the background
Schedule recurring checks, alerts, and digests so your agents keep working when chat is quiet.
Weekly KPI Brief
Monday 7 AM
Metric Drift Watch
Every 4 hours
Source Freshness Check
Daily
Share with your team
Analysts own definitions, operators request briefs, and leadership reviews recurring outputs.
Aron
Admin
Katherine
Editor
Max
Viewer
Watch them get smarter
Every corrected calculation, accepted chart, and ignored alert improves the next data brief.
Enterprise-grade
With enterprise-grade infrastructure and security
SOC 2 Type II
Independently audited security controls and compliance reporting.
Scoped app access
Each connector runs with explicit account context and least-privilege scopes.
Role-based access
Admin, Editor, Viewer roles with audit trails on every agent action.
Human approval gates
Sensitive writes can pause for review with diff and evidence attached.
Source-backed work
Outputs keep references to records, files, messages, transcripts, or URLs.
Audit logs
Every prompt, tool call, and write is logged for compliance review.
SSO + SAML
Bring your identity provider — Okta, Azure AD, Google Workspace, more.
Usage monitoring
Track agent runs, model costs, and tool calls per team and per workflow.
Resources to help you go further
Implementation guide
How to roll out build a data analysis agent for every team with approvals and audit trails.
Connector checklist
Recommended apps, scopes, and fallback steps for Ops, Finance, Analytics, Leadership.
Agent review playbook
A practical review flow for prompts, monitors, team roles, and recurring runs.
Tasks automated to date
931,877,758
Build the data-briefs agent your team will actually use
Every corrected calculation, accepted chart, and ignored alert improves the next data brief.