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

Operations

Ecommerce Operations Report

Your store health report, automated every day.

Replace manual store audits with automated reports covering revenue, inventory health, order trends, and return rates. Spot problems before they become stockouts or cash flow crises.

Best forEcommerce

Agents7 required

Duration3-5 minutes

Connects to store platform and payment gateway to pull orders, inventory, returns, and revenue data with actionable insights.

How it runs

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

Call verslay_recall to retrieve prior ops report baselines and KPI benchmarks from memory. Then call shopify-commerce-operator to pull order data for the configured reporting period: total orders, GMV, refund count and value, fulfillment rate, and top-selling products. In parallel, call stripe-revenue-operations-analyst to pull payout summaries, failed-charge rates, and net revenue after fees for the same period. Store raw combined ops data as Phase 1 output.

ecommerce scanner

Consume Phase 1 combined Shopify + Stripe data. Reconcile GMV against Stripe net revenue to compute platform fee drag and refund impact. Calculate: order conversion trend (orders this period vs. prior), refund rate, average order value (AOV), fulfillment SLA compliance (% shipped within promised window), and revenue-per-payout cycle. Flag any metric deviating more than 10% from prior-period baseline. Produce a reconciled ops metrics table.

data analyst

In parallel with data-analyst, call verslay_web_search and verslay_news_search targeting the store's product category and 'ecommerce operations benchmarks 2025' to pull industry-standard refund rates, AOV benchmarks, and fulfillment SLA expectations. Call verslay_reddit_search on r/ecommerce and r/shopify for community-reported ops issues (e.g., fulfillment delays, payment failures). Pass benchmark data to Phase 4.

web researcher

Consume Phase 1 Stripe data. Perform a payment health audit: identify the top three failure reasons for declined charges, compute chargeback rate, and detect any suspicious refund clusters (same product SKU refunded repeatedly — possible quality issue). Cross-reference failed charges against successful retries to compute recovery rate. Produce a payment health summary.

payment scanner

Consume Phase 2 reconciled metrics, Phase 2 benchmarks, and Phase 3 payment health summary. Call verslay_chart_create to produce: (a) a GMV vs. net revenue waterfall chart showing fee and refund deductions; (b) a fulfillment SLA compliance bar chart by product category; (c) an AOV trend line. Format the full ecommerce ops report with metric tables, benchmark comparisons, and anomaly callouts.

report formatter

Consume Phase 4 formatted report and charts. Write an executive ops summary: period performance vs. prior period, top three wins, top three risks (with root causes from payment and fulfillment data), and recommended actions. Call verslay_memorize to store updated ops metrics, AOV baseline, and refund rate in memory.

executive briefing writer

Receive the executive ops summary from executive-briefing-writer. Deliver to the configured Slack channel or email the operations and finance team. Confirm delivery and log send timestamp.

distributor

Required Agents

ecommerce-scanner
data-analyst
web-researcher
payment-scanner
report-formatter
executive-briefing-writer
distributor

Connections

Required

shopifystripe

What it does

Full store performance analysis
Payment reconciliation
SKU-level inventory alerts
Trend analysis
Prioritized action list

Example prompt

What cadence should the report cover (weekly or monthly) and which comparison baseline (last week, last month, same period last year)? I will cover orders, fulfillment, returns, inventory, top sellers, and flag operational bottlenecks.

Ready to deploy Ecommerce Operations Report?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Operations

Ecommerce Operations Report

Your store health report, automated every day.

Replace manual store audits with automated reports covering revenue, inventory health, order trends, and return rates. Spot problems before they become stockouts or cash flow crises.

Best forEcommerce

Agents7 required

Duration3-5 minutes

Connects to store platform and payment gateway to pull orders, inventory, returns, and revenue data with actionable insights.

How it runs

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

Call verslay_recall to retrieve prior ops report baselines and KPI benchmarks from memory. Then call shopify-commerce-operator to pull order data for the configured reporting period: total orders, GMV, refund count and value, fulfillment rate, and top-selling products. In parallel, call stripe-revenue-operations-analyst to pull payout summaries, failed-charge rates, and net revenue after fees for the same period. Store raw combined ops data as Phase 1 output.

ecommerce scanner

Consume Phase 1 combined Shopify + Stripe data. Reconcile GMV against Stripe net revenue to compute platform fee drag and refund impact. Calculate: order conversion trend (orders this period vs. prior), refund rate, average order value (AOV), fulfillment SLA compliance (% shipped within promised window), and revenue-per-payout cycle. Flag any metric deviating more than 10% from prior-period baseline. Produce a reconciled ops metrics table.

data analyst

In parallel with data-analyst, call verslay_web_search and verslay_news_search targeting the store's product category and 'ecommerce operations benchmarks 2025' to pull industry-standard refund rates, AOV benchmarks, and fulfillment SLA expectations. Call verslay_reddit_search on r/ecommerce and r/shopify for community-reported ops issues (e.g., fulfillment delays, payment failures). Pass benchmark data to Phase 4.

web researcher

Consume Phase 1 Stripe data. Perform a payment health audit: identify the top three failure reasons for declined charges, compute chargeback rate, and detect any suspicious refund clusters (same product SKU refunded repeatedly — possible quality issue). Cross-reference failed charges against successful retries to compute recovery rate. Produce a payment health summary.

payment scanner

Consume Phase 2 reconciled metrics, Phase 2 benchmarks, and Phase 3 payment health summary. Call verslay_chart_create to produce: (a) a GMV vs. net revenue waterfall chart showing fee and refund deductions; (b) a fulfillment SLA compliance bar chart by product category; (c) an AOV trend line. Format the full ecommerce ops report with metric tables, benchmark comparisons, and anomaly callouts.

report formatter

Consume Phase 4 formatted report and charts. Write an executive ops summary: period performance vs. prior period, top three wins, top three risks (with root causes from payment and fulfillment data), and recommended actions. Call verslay_memorize to store updated ops metrics, AOV baseline, and refund rate in memory.

executive briefing writer

Receive the executive ops summary from executive-briefing-writer. Deliver to the configured Slack channel or email the operations and finance team. Confirm delivery and log send timestamp.

distributor

Required Agents

ecommerce-scanner
data-analyst
web-researcher
payment-scanner
report-formatter
executive-briefing-writer
distributor

Connections

Required

shopifystripe

What it does

Full store performance analysis
Payment reconciliation
SKU-level inventory alerts
Trend analysis
Prioritized action list

Example prompt

What cadence should the report cover (weekly or monthly) and which comparison baseline (last week, last month, same period last year)? I will cover orders, fulfillment, returns, inventory, top sellers, and flag operational bottlenecks.

Ready to deploy Ecommerce Operations Report?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Operations

Ecommerce Operations Report

Your store health report, automated every day.

Replace manual store audits with automated reports covering revenue, inventory health, order trends, and return rates. Spot problems before they become stockouts or cash flow crises.

Best forEcommerce

Agents7 required

Duration3-5 minutes

Connects to store platform and payment gateway to pull orders, inventory, returns, and revenue data with actionable insights.

How it runs

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

Call verslay_recall to retrieve prior ops report baselines and KPI benchmarks from memory. Then call shopify-commerce-operator to pull order data for the configured reporting period: total orders, GMV, refund count and value, fulfillment rate, and top-selling products. In parallel, call stripe-revenue-operations-analyst to pull payout summaries, failed-charge rates, and net revenue after fees for the same period. Store raw combined ops data as Phase 1 output.

ecommerce scanner

Consume Phase 1 combined Shopify + Stripe data. Reconcile GMV against Stripe net revenue to compute platform fee drag and refund impact. Calculate: order conversion trend (orders this period vs. prior), refund rate, average order value (AOV), fulfillment SLA compliance (% shipped within promised window), and revenue-per-payout cycle. Flag any metric deviating more than 10% from prior-period baseline. Produce a reconciled ops metrics table.

data analyst

In parallel with data-analyst, call verslay_web_search and verslay_news_search targeting the store's product category and 'ecommerce operations benchmarks 2025' to pull industry-standard refund rates, AOV benchmarks, and fulfillment SLA expectations. Call verslay_reddit_search on r/ecommerce and r/shopify for community-reported ops issues (e.g., fulfillment delays, payment failures). Pass benchmark data to Phase 4.

web researcher

Consume Phase 1 Stripe data. Perform a payment health audit: identify the top three failure reasons for declined charges, compute chargeback rate, and detect any suspicious refund clusters (same product SKU refunded repeatedly — possible quality issue). Cross-reference failed charges against successful retries to compute recovery rate. Produce a payment health summary.

payment scanner

Consume Phase 2 reconciled metrics, Phase 2 benchmarks, and Phase 3 payment health summary. Call verslay_chart_create to produce: (a) a GMV vs. net revenue waterfall chart showing fee and refund deductions; (b) a fulfillment SLA compliance bar chart by product category; (c) an AOV trend line. Format the full ecommerce ops report with metric tables, benchmark comparisons, and anomaly callouts.

report formatter

Consume Phase 4 formatted report and charts. Write an executive ops summary: period performance vs. prior period, top three wins, top three risks (with root causes from payment and fulfillment data), and recommended actions. Call verslay_memorize to store updated ops metrics, AOV baseline, and refund rate in memory.

executive briefing writer

Receive the executive ops summary from executive-briefing-writer. Deliver to the configured Slack channel or email the operations and finance team. Confirm delivery and log send timestamp.

distributor

Required Agents

ecommerce-scanner
data-analyst
web-researcher
payment-scanner
report-formatter
executive-briefing-writer
distributor

Connections

Required

shopifystripe

What it does

Full store performance analysis
Payment reconciliation
SKU-level inventory alerts
Trend analysis
Prioritized action list

Example prompt

What cadence should the report cover (weekly or monthly) and which comparison baseline (last week, last month, same period last year)? I will cover orders, fulfillment, returns, inventory, top sellers, and flag operational bottlenecks.

Ready to deploy Ecommerce Operations Report?

Start free. One click, full agent orchestration.

Get Started Free →