Verslay is an AI agent platform that gives business owners access to 98 pre-built AI agents for marketing, sales, operations, finance, and more — all accessible through claude.ai via a single MCP server connection. No coding, no infrastructure, no setup.

How does Verslay work with Claude AI?

Verslay plugs into claude.ai as an MCP (Model Context Protocol) server. Once connected, your Claude AI gains access to all your enabled agents and your connected business tools — so you can run automation by simply describing what you need in plain language.

How much does Verslay cost?

Verslay has a free plan with core agents. Paid plans start at ₹999/month (Starter) and ₹3,499/month (Pro with 5 seats). Enterprise and custom pricing is available for larger teams.

Do I need technical skills or coding to use Verslay?

No. Verslay is built for business owners, not developers. You connect your tools (like HubSpot, Shopify, Slack, or Stripe) once, choose which use-cases to activate, and then run them through natural language in claude.ai. Zero code required.

What tools and integrations does Verslay support?

Verslay integrates with 30+ business tools including HubSpot, Shopify, Slack, Stripe, Google Workspace, Notion, ClickUp, Meta Ads, LinkedIn, Razorpay, Zoho, Zendesk, and many more. New integrations are added regularly.

Is Verslay suitable for small businesses and startups?

Yes. Verslay is designed specifically for small and medium businesses who want enterprise-grade AI automation without an engineering team. The free plan lets you start immediately, and paid plans scale with your needs.

All Use Cases

Finance

Financial Weekly Review

Your full P&L picture, every Friday morning.

Get a complete financial review with revenue, expenses, trends, and anomalies synthesized from your payment data and inbox — without opening a single spreadsheet. Make smarter spending decisions every week.

Best forEcommerceConsultingFinancial ServicesMarketing AgencyProfessional ServicesSaaS

Agents6 required

Duration3-5 minutes

Retrieves transactions and scans inbox for financial emails, reconciles both to compute revenue, expenses, and trends.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior weekly financial review baselines, KPI targets, and prior-week actuals stored in memory. Connect to Stripe to pull the current week's gross revenue, net revenue, new MRR, expansion MRR, churn MRR, refund amounts, and failed payment counts. Compare week-over-week deltas for each metric. Produce a weekly payment metrics snapshot as Phase 1 output.

payment scanner

Consume Phase 1 payment metrics. Calculate gross margin trend, revenue per customer cohort, and net revenue retention for the week. Identify the top 3 revenue-contributing customers and the top 3 churned customers. Flag any metric that deviated >10% from prior week. Produce a revenue analysis summary for Phase 4.

revenue analyst

In parallel with revenue-analyst, call verslay_news_headlines to surface any macroeconomic or sector news that may explain revenue shifts this week. Call verslay_news_search targeting the user's industry and 'SaaS weekly financial benchmarks' to pull KPI benchmark data. Call verslay_rss_fetch on a relevant fintech or payments industry RSS feed to capture any platform news affecting payment performance. Produce an external context package for Phase 4.

web researcher

Consume Phase 2 revenue analysis and Phase 2 industry benchmarks. Build a week-over-week KPI comparison table: MRR, ARR run-rate, churn, refund rate, net revenue retention vs benchmark. Call verslay_chart_create to generate a week-over-week revenue bar chart and an MRR waterfall chart (new + expansion − churn − contraction). Produce a synthesis package for Phase 5.

data analyst

Consume Phase 3 charts and KPI table, Phase 2 revenue analysis, and Phase 2 external context. Write the weekly financial review: headline metrics summary, week-over-week performance narrative, benchmark comparison, top gainers and churners, external context (macro/sector), and 3 recommended actions for the coming week. Call verslay_memorize to store this week's KPI actuals as the new prior-week baseline for next run. Pass review to distributor.

executive briefing writer

Receive the weekly financial review from executive-briefing-writer. Distribute to the configured Slack channel or email recipient. Confirm delivery and log the send timestamp.

distributor

Required Agents

payment-scanner
revenue-analyst
web-researcher
data-analyst
executive-briefing-writer
distributor

Connections

Required

googlestripe

What it does

Payment and email data reconciliation
Period-over-period comparison
Failed payment recovery flagging
Executive summary with actions
Optional Sheets export

Example prompt

Which week should I review (last week or specific date), what variance threshold should I flag (10% or 20%), and what format (executive summary or detailed report)? I will cover revenue vs forecast, expenses, cash flow, outstanding invoices, and burn rate.

Ready to deploy Financial Weekly Review?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Finance

Financial Weekly Review

Your full P&L picture, every Friday morning.

Best forEcommerceConsultingFinancial ServicesMarketing AgencyProfessional ServicesSaaS

Agents6 required

Duration3-5 minutes

Retrieves transactions and scans inbox for financial emails, reconciles both to compute revenue, expenses, and trends.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior weekly financial review baselines, KPI targets, and prior-week actuals stored in memory. Connect to Stripe to pull the current week's gross revenue, net revenue, new MRR, expansion MRR, churn MRR, refund amounts, and failed payment counts. Compare week-over-week deltas for each metric. Produce a weekly payment metrics snapshot as Phase 1 output.

payment scanner

Consume Phase 1 payment metrics. Calculate gross margin trend, revenue per customer cohort, and net revenue retention for the week. Identify the top 3 revenue-contributing customers and the top 3 churned customers. Flag any metric that deviated >10% from prior week. Produce a revenue analysis summary for Phase 4.

revenue analyst

In parallel with revenue-analyst, call verslay_news_headlines to surface any macroeconomic or sector news that may explain revenue shifts this week. Call verslay_news_search targeting the user's industry and 'SaaS weekly financial benchmarks' to pull KPI benchmark data. Call verslay_rss_fetch on a relevant fintech or payments industry RSS feed to capture any platform news affecting payment performance. Produce an external context package for Phase 4.

web researcher

Consume Phase 2 revenue analysis and Phase 2 industry benchmarks. Build a week-over-week KPI comparison table: MRR, ARR run-rate, churn, refund rate, net revenue retention vs benchmark. Call verslay_chart_create to generate a week-over-week revenue bar chart and an MRR waterfall chart (new + expansion − churn − contraction). Produce a synthesis package for Phase 5.

data analyst

Consume Phase 3 charts and KPI table, Phase 2 revenue analysis, and Phase 2 external context. Write the weekly financial review: headline metrics summary, week-over-week performance narrative, benchmark comparison, top gainers and churners, external context (macro/sector), and 3 recommended actions for the coming week. Call verslay_memorize to store this week's KPI actuals as the new prior-week baseline for next run. Pass review to distributor.

executive briefing writer

Receive the weekly financial review from executive-briefing-writer. Distribute to the configured Slack channel or email recipient. Confirm delivery and log the send timestamp.

distributor

Required Agents

payment-scanner
revenue-analyst
web-researcher
data-analyst
executive-briefing-writer
distributor

Connections

Required

googlestripe

What it does

Payment and email data reconciliation
Period-over-period comparison
Failed payment recovery flagging
Executive summary with actions
Optional Sheets export

Example prompt

Which week should I review (last week or specific date), what variance threshold should I flag (10% or 20%), and what format (executive summary or detailed report)? I will cover revenue vs forecast, expenses, cash flow, outstanding invoices, and burn rate.

Ready to deploy Financial Weekly Review?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Finance

Financial Weekly Review

Your full P&L picture, every Friday morning.

Best forEcommerceConsultingFinancial ServicesMarketing AgencyProfessional ServicesSaaS

Agents6 required

Duration3-5 minutes

Retrieves transactions and scans inbox for financial emails, reconciles both to compute revenue, expenses, and trends.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior weekly financial review baselines, KPI targets, and prior-week actuals stored in memory. Connect to Stripe to pull the current week's gross revenue, net revenue, new MRR, expansion MRR, churn MRR, refund amounts, and failed payment counts. Compare week-over-week deltas for each metric. Produce a weekly payment metrics snapshot as Phase 1 output.

payment scanner

Consume Phase 1 payment metrics. Calculate gross margin trend, revenue per customer cohort, and net revenue retention for the week. Identify the top 3 revenue-contributing customers and the top 3 churned customers. Flag any metric that deviated >10% from prior week. Produce a revenue analysis summary for Phase 4.

revenue analyst

In parallel with revenue-analyst, call verslay_news_headlines to surface any macroeconomic or sector news that may explain revenue shifts this week. Call verslay_news_search targeting the user's industry and 'SaaS weekly financial benchmarks' to pull KPI benchmark data. Call verslay_rss_fetch on a relevant fintech or payments industry RSS feed to capture any platform news affecting payment performance. Produce an external context package for Phase 4.

web researcher

Consume Phase 2 revenue analysis and Phase 2 industry benchmarks. Build a week-over-week KPI comparison table: MRR, ARR run-rate, churn, refund rate, net revenue retention vs benchmark. Call verslay_chart_create to generate a week-over-week revenue bar chart and an MRR waterfall chart (new + expansion − churn − contraction). Produce a synthesis package for Phase 5.

data analyst

Consume Phase 3 charts and KPI table, Phase 2 revenue analysis, and Phase 2 external context. Write the weekly financial review: headline metrics summary, week-over-week performance narrative, benchmark comparison, top gainers and churners, external context (macro/sector), and 3 recommended actions for the coming week. Call verslay_memorize to store this week's KPI actuals as the new prior-week baseline for next run. Pass review to distributor.

executive briefing writer

Receive the weekly financial review from executive-briefing-writer. Distribute to the configured Slack channel or email recipient. Confirm delivery and log the send timestamp.

distributor

Required Agents

payment-scanner
revenue-analyst
web-researcher
data-analyst
executive-briefing-writer
distributor

Connections

Required

googlestripe

What it does

Payment and email data reconciliation
Period-over-period comparison
Failed payment recovery flagging
Executive summary with actions
Optional Sheets export

Example prompt

Which week should I review (last week or specific date), what variance threshold should I flag (10% or 20%), and what format (executive summary or detailed report)? I will cover revenue vs forecast, expenses, cash flow, outstanding invoices, and burn rate.

Ready to deploy Financial Weekly Review?

Start free. One click, full agent orchestration.

Get Started Free →