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

ecommerce

Pricing Intelligence Monitor

Stay competitively priced on every SKU, every day.

Know when competitors undercut you before customers notice — and get a repricing action plan within minutes. Protect margins without manual price checking across thousands of listings.

Best forEcommerce

Agents7 required

Duration3-5 minutes

Pulls live SKU prices, researches competitor pricing, and produces prioritized repricing recommendations.

How it runs

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

Call verslay_recall to retrieve prior pricing intelligence snapshots, known competitor price ranges, and pricing strategy baselines from memory. Query Shopify via the shopify connection to pull current product prices, SKU list, and any recent price change history. Identify the top 20 SKUs by revenue contribution to prioritize for competitive intelligence. Compile a pricing snapshot and priority product list and pass to Phase 2.

shopify commerce operator

Consume Phase 1 priority product list. Call verslay_exclusive_google_maps_search to identify local competitor stores (if relevant) and their proximity and category overlap. Call verslay_exclusive_run_actor with actor 'apify/website-content-crawler' on competitor product pages to extract current pricing for matching SKUs. In parallel call verslay_exclusive_reddit_scrape on product category subreddits to surface buyer price sensitivity discussions and what price points users consider fair vs. expensive. Produce a competitive pricing matrix.

competitive intel

In parallel with competitive-intel, call verslay_web_search on each priority product category to identify current market price ranges from aggregator sites, review platforms, and comparison engines. Call verslay_news_search for recent pricing trend articles or supply chain cost changes in the category. Produce a market price benchmark report.

web researcher

Consume Phase 2 competitive pricing matrix and Phase 2 market benchmark report. For each priority SKU, calculate: price gap vs. average competitor (over/underpriced), price gap vs. market range, perceived value score based on Reddit sentiment, and pricing opportunity (raise without losing competitiveness, or lower to win volume). Call verslay_chart_create to produce a price positioning chart mapping the brand's SKUs against competitor price ranges.

pricing analyst

Consume Phase 3 pricing analysis and Phase 1 revenue contribution data. Cross-tabulate pricing gaps against revenue contribution to prioritize which SKU repricing actions have the highest revenue impact. Model three pricing scenarios: maintain, optimistic reprice up, and competitive reprice down. Identify the top 5 SKU repricing recommendations by estimated revenue impact. Pass priority action list to Phase 5.

data analyst

Consume Phase 4 repricing recommendations, Phase 3 price positioning chart, and all intelligence. Produce a pricing intelligence monitor report: competitive price matrix for priority SKUs, price positioning chart, top 5 repricing recommendations with rationale and revenue impact estimates, buyer price sensitivity findings from Reddit, and a pricing review cadence recommendation. Call verslay_memorize to store the competitive price baselines, repricing recommendations, and market ranges in memory.

executive briefing writer

Receive the pricing intelligence report from executive-briefing-writer. Deliver it to the configured Slack channel or email recipient specified by the user. Confirm delivery and log send timestamp.

distributor

Required Agents

shopify-commerce-operator
competitive-intel
web-researcher
pricing-analyst
data-analyst
executive-briefing-writer
distributor

Connections

Required

shopifyverslay_exclusive

What it does

Live pricing snapshot
Competitor comparison
Undercut risk flags
Revenue impact estimates
Margin floor protection

Example prompt

Which competitors should I monitor and across which categories, SKUs, or plan tiers? I will flag items >10% off market and suggest pricing adjustments with projected revenue impact.

Ready to deploy Pricing Intelligence Monitor?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

ecommerce

Pricing Intelligence Monitor

Stay competitively priced on every SKU, every day.

Know when competitors undercut you before customers notice — and get a repricing action plan within minutes. Protect margins without manual price checking across thousands of listings.

Best forEcommerce

Agents7 required

Duration3-5 minutes

Pulls live SKU prices, researches competitor pricing, and produces prioritized repricing recommendations.

How it runs

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

Call verslay_recall to retrieve prior pricing intelligence snapshots, known competitor price ranges, and pricing strategy baselines from memory. Query Shopify via the shopify connection to pull current product prices, SKU list, and any recent price change history. Identify the top 20 SKUs by revenue contribution to prioritize for competitive intelligence. Compile a pricing snapshot and priority product list and pass to Phase 2.

shopify commerce operator

Consume Phase 1 priority product list. Call verslay_exclusive_google_maps_search to identify local competitor stores (if relevant) and their proximity and category overlap. Call verslay_exclusive_run_actor with actor 'apify/website-content-crawler' on competitor product pages to extract current pricing for matching SKUs. In parallel call verslay_exclusive_reddit_scrape on product category subreddits to surface buyer price sensitivity discussions and what price points users consider fair vs. expensive. Produce a competitive pricing matrix.

competitive intel

In parallel with competitive-intel, call verslay_web_search on each priority product category to identify current market price ranges from aggregator sites, review platforms, and comparison engines. Call verslay_news_search for recent pricing trend articles or supply chain cost changes in the category. Produce a market price benchmark report.

web researcher

Consume Phase 2 competitive pricing matrix and Phase 2 market benchmark report. For each priority SKU, calculate: price gap vs. average competitor (over/underpriced), price gap vs. market range, perceived value score based on Reddit sentiment, and pricing opportunity (raise without losing competitiveness, or lower to win volume). Call verslay_chart_create to produce a price positioning chart mapping the brand's SKUs against competitor price ranges.

pricing analyst

Consume Phase 3 pricing analysis and Phase 1 revenue contribution data. Cross-tabulate pricing gaps against revenue contribution to prioritize which SKU repricing actions have the highest revenue impact. Model three pricing scenarios: maintain, optimistic reprice up, and competitive reprice down. Identify the top 5 SKU repricing recommendations by estimated revenue impact. Pass priority action list to Phase 5.

data analyst

Consume Phase 4 repricing recommendations, Phase 3 price positioning chart, and all intelligence. Produce a pricing intelligence monitor report: competitive price matrix for priority SKUs, price positioning chart, top 5 repricing recommendations with rationale and revenue impact estimates, buyer price sensitivity findings from Reddit, and a pricing review cadence recommendation. Call verslay_memorize to store the competitive price baselines, repricing recommendations, and market ranges in memory.

executive briefing writer

Receive the pricing intelligence report from executive-briefing-writer. Deliver it to the configured Slack channel or email recipient specified by the user. Confirm delivery and log send timestamp.

distributor

Required Agents

shopify-commerce-operator
competitive-intel
web-researcher
pricing-analyst
data-analyst
executive-briefing-writer
distributor

Connections

Required

shopifyverslay_exclusive

What it does

Live pricing snapshot
Competitor comparison
Undercut risk flags
Revenue impact estimates
Margin floor protection

Example prompt

Which competitors should I monitor and across which categories, SKUs, or plan tiers? I will flag items >10% off market and suggest pricing adjustments with projected revenue impact.

Ready to deploy Pricing Intelligence Monitor?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

ecommerce

Pricing Intelligence Monitor

Stay competitively priced on every SKU, every day.

Know when competitors undercut you before customers notice — and get a repricing action plan within minutes. Protect margins without manual price checking across thousands of listings.

Best forEcommerce

Agents7 required

Duration3-5 minutes

Pulls live SKU prices, researches competitor pricing, and produces prioritized repricing recommendations.

How it runs

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

Call verslay_recall to retrieve prior pricing intelligence snapshots, known competitor price ranges, and pricing strategy baselines from memory. Query Shopify via the shopify connection to pull current product prices, SKU list, and any recent price change history. Identify the top 20 SKUs by revenue contribution to prioritize for competitive intelligence. Compile a pricing snapshot and priority product list and pass to Phase 2.

shopify commerce operator

Consume Phase 1 priority product list. Call verslay_exclusive_google_maps_search to identify local competitor stores (if relevant) and their proximity and category overlap. Call verslay_exclusive_run_actor with actor 'apify/website-content-crawler' on competitor product pages to extract current pricing for matching SKUs. In parallel call verslay_exclusive_reddit_scrape on product category subreddits to surface buyer price sensitivity discussions and what price points users consider fair vs. expensive. Produce a competitive pricing matrix.

competitive intel

In parallel with competitive-intel, call verslay_web_search on each priority product category to identify current market price ranges from aggregator sites, review platforms, and comparison engines. Call verslay_news_search for recent pricing trend articles or supply chain cost changes in the category. Produce a market price benchmark report.

web researcher

Consume Phase 2 competitive pricing matrix and Phase 2 market benchmark report. For each priority SKU, calculate: price gap vs. average competitor (over/underpriced), price gap vs. market range, perceived value score based on Reddit sentiment, and pricing opportunity (raise without losing competitiveness, or lower to win volume). Call verslay_chart_create to produce a price positioning chart mapping the brand's SKUs against competitor price ranges.

pricing analyst

Consume Phase 3 pricing analysis and Phase 1 revenue contribution data. Cross-tabulate pricing gaps against revenue contribution to prioritize which SKU repricing actions have the highest revenue impact. Model three pricing scenarios: maintain, optimistic reprice up, and competitive reprice down. Identify the top 5 SKU repricing recommendations by estimated revenue impact. Pass priority action list to Phase 5.

data analyst

Consume Phase 4 repricing recommendations, Phase 3 price positioning chart, and all intelligence. Produce a pricing intelligence monitor report: competitive price matrix for priority SKUs, price positioning chart, top 5 repricing recommendations with rationale and revenue impact estimates, buyer price sensitivity findings from Reddit, and a pricing review cadence recommendation. Call verslay_memorize to store the competitive price baselines, repricing recommendations, and market ranges in memory.

executive briefing writer

Receive the pricing intelligence report from executive-briefing-writer. Deliver it to the configured Slack channel or email recipient specified by the user. Confirm delivery and log send timestamp.

distributor

Required Agents

shopify-commerce-operator
competitive-intel
web-researcher
pricing-analyst
data-analyst
executive-briefing-writer
distributor

Connections

Required

shopifyverslay_exclusive

What it does

Live pricing snapshot
Competitor comparison
Undercut risk flags
Revenue impact estimates
Margin floor protection

Example prompt

Which competitors should I monitor and across which categories, SKUs, or plan tiers? I will flag items >10% off market and suggest pricing adjustments with projected revenue impact.

Ready to deploy Pricing Intelligence Monitor?

Start free. One click, full agent orchestration.

Get Started Free →