Getting Started
TrustMRR Research Chat: All 7 Tools Explained with Examples
Last updated: April 2026
The TrustMRR research chat exposes seven specialized tools that operate over the same 6,040-startup dataset. The chat picks the right tool automatically based on your question, but understanding what each tool does makes you a better researcher.
On this page
Tool 1 - searchStartups
Search the full dataset by name, category, MRR range, growth rate, and on-sale status. Returns up to 50 matching startups with the core revenue and growth fields.
Example questions: 'Show me bootstrapped AI startups under $5k MRR.' 'Which Marketing SaaS are growing more than 50% month-over-month?'
Tool 2 - getStartupDetails
Fetch the full profile of a specific startup - financials, tech stack, platforms, pricing model, target audience, competitive advantages, risks, and AI-generated tags.
Example questions: 'Tell me everything about Stan.' 'What's the tech stack and audience profile for Rezi?'
Tool 3 - getClusters
Retrieve AI-generated clusters that segment the dataset by four different lenses: revenue-tier, growth-pattern, business-model, and acquisition. Each cluster carries member counts, average MRR, defining traits, and market gaps.
Example questions: 'Which acquisition clusters have the lowest profit multiples?' 'Show me the high-growth bootstrapped cluster.'
Tool 4 - getCategoryAnalysis
Pull the full AI market analysis for a specific category - market summary, opportunity thesis, competitive landscape, trend analysis, top performers, rising stars, best deals, and benchmark distribution.
Example questions: 'What's the state of the Productivity category in 2026?' 'Where are the gaps in the CRM market?'
Tool 5 - getDeals
Surface startups currently for sale, filterable by category, max asking price, and max profit multiple. Sorted by lowest multiple first so the most under-priced deals surface immediately.
Example questions: 'AI startups for sale under $50k.' 'Show me CRM deals with sub-3× profit multiples.'
Tool 6 - getRevenueBenchmarks
Pull aggregate revenue benchmarks across the full dataset or filtered by category. Returns avg, median, p25, p75, and max for MRR, growth, profit margin, and acquisition multiples.
Example questions: 'What's the median MRR for SaaS startups under $10k MRR?' 'Compare Education vs Recruiting benchmarks.'
Tool 7 - searchMarketData
Cross-reference TrustMRR data with external sources - Reddit, G2, Capterra, Upwork, ProductHunt, and App Store data - to surface market trends, pain points, and competitor reviews related to a category or startup.
Example questions: 'What are the top pain points in the project management category?' 'What do users complain about most for X tool?'
FAQ
Do I have to specify which tool to use?
No. The chat picks the right tool based on your question. Specifying a tool only helps when you want a particular shape of output.
How long does each query take?
Most tools return in 2–5 seconds. getCategoryAnalysis and searchMarketData take 5–10 seconds because they pull richer data.
Can I chain tools together?
Yes - the chat can call multiple tools in sequence within one response. Ask compound questions like 'Find the top 3 AI startups for sale under $50k and give me the buyer thesis for each.'
Does the chat remember earlier messages?
Yes. Each conversation persists with full message history. You can pin, archive, and revisit any conversation.
Related help pages
Getting Started
Getting Started with TrustMRR: A 5-Step Walkthrough
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Tools
Understanding TrustMRR Clusters: 4 Types of AI-Generated SaaS Segments
TrustMRR groups its 6,040 startups into AI-generated clusters across four lenses - revenue tier, growth pattern, business model, and acquisition profile. Here's what each cluster type means and how to use it.
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