AI Agent for Market Research — Built for MonkeyLearn
Automate Market Research for teams using MonkeyLearn. Vayan AI agents handle the workflow end-to-end — no code, set up in minutes.
Brief drafted — 12 sources cited. Action items pulled:
Meeting notes
- • Lindy launched a $99 starter tier — undercutting our Pro by $50.
- • Relay shipped a Slack-native agent builder; demo gif on landing page.
- • Stack AI raised $25M; expect aggressive ad spend through Q2.
How does MonkeyLearn work for market research automation?
MonkeyLearn works for market research automation by powering an Vayan AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to MonkeyLearn alongside the other apps your team already uses, watches for the triggers that matter for market research, and takes the next step on its own while keeping a complete audit trail for review. AI gathers market data from hundreds of sources and synthesizes it into actionable reports. Teams typically see days → Hours from scoping to report once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect MonkeyLearn
Link MonkeyLearn to Vayan AI and your data pipelines start syncing within seconds.
Define Data Workflows
Choose which MonkeyLearn datasets, reports, or dashboards trigger AI actions — and configure transforms and delivery rules.
Automate Insights Delivery
AI processes your MonkeyLearn data on schedule, surfaces anomalies, and distributes reports to stakeholders automatically.
Lindy launched a $99 starter tier — undercutting our Pro by $50.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Notion · Compete tracker with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Competitor brief · Week of Mar 10.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
Yes. You define exactly which MonkeyLearn events start market research workflows — new records, status changes, messages, or custom triggers. Each trigger can have conditions so market research actions only fire when your specific criteria are met in MonkeyLearn.
Yes. The market research agent connected to MonkeyLearn simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single market research workflow can pull data from MonkeyLearn, process it, and push results to multiple destinations.
Yes. You can run market research workflows in test mode using sample MonkeyLearn data before activating on live records. This lets you verify every market research rule works correctly with your MonkeyLearn setup before processing real data.
When the AI hits an edge case during market research processing in MonkeyLearn, it escalates to your team with full context — the MonkeyLearn record, what was attempted, and why it needs review. Your market research pipeline never stalls or loses data.
No coding required. The no-code builder walks you through connecting MonkeyLearn and configuring market research rules visually. Your team can set up, modify, and manage MonkeyLearn-based market research workflows without any developer involvement.
Yes. You can create parallel market research workflows that respond to different MonkeyLearn events or conditions. For example, one market research flow for new MonkeyLearn records and another for updated ones — each with independent rules and actions.
The MonkeyLearn integration maintains a persistent real-time connection for market research automation with automatic retry logic and continuous monitoring. If MonkeyLearn experiences downtime, queued market research tasks process automatically once connectivity resumes.
Manual market research in MonkeyLearn requires constant tab-switching, copy-pasting, and follow-up tracking. Vayan AI eliminates this by handling market research tasks in real-time as MonkeyLearn events occur — running 24/7 with consistent accuracy and zero fatigue.
Vayan AI connects to MonkeyLearn via one-click OAuth, then runs market research workflows that read and write MonkeyLearn data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant MonkeyLearn record without developer involvement.
MonkeyLearn holds the data; AI supplies the judgment and throughput. Together they turn market research from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the MonkeyLearn-adjacent work that genuinely needs human attention.
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