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

Marketing

Brand Reputation Monitor

Know what the internet says before it hurts you.

Catch brand crises early with 24/7 sentiment monitoring across news, forums, and social media. Get a prioritized response plan before small issues become viral PR problems.

Best forEcommerceConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents6 required

Duration3-5 minutes

Scans news, blogs, forums, review sites, and social channels for brand mentions with sentiment classification and risk detection.

How it runs

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

Seed recall context by calling verslay_recall to retrieve prior brand mentions and sentiment baselines stored in memory. Then run verslay_web_search and verslay_news_search to pull the latest press coverage, news articles, and web mentions for the brand name provided by the user. Store raw mention URLs and snippet text as Phase 1 output.

web researcher

Consume Phase 1 mention list. Call verslay_reddit_search and verslay_reddit_top to surface organic community discussion about the brand on Reddit. In parallel, analyze sentiment polarity (positive / neutral / negative) across all collected mentions using natural-language scoring. Produce a sentiment breakdown table with source, snippet, and score.

sentiment analyst

In parallel with sentiment-analyst, call verslay_news_search targeting competitor brand names provided by the user to surface comparative coverage. Identify whether negative sentiment spikes are brand-specific or industry-wide. Pass competitive framing notes to Phase 4.

competitive intel

Run Apify enrichment: call verslay_exclusive_instagram_scrape on the brand handle to collect public post engagement and comment tone. Call verslay_exclusive_twitter_scrape on the brand handle to surface real-time tweet volume and reply sentiment. Call verslay_exclusive_reddit_scrape targeting the brand subreddit and top r/ communities for unfiltered user opinion. Consolidate raw social data and pass to Phase 4.

web researcher

Consume Phase 2 sentiment table and Phase 3 Apify social data. Cross-tabulate mention volume by channel (web/news/Instagram/Twitter/Reddit) and sentiment polarity. Call verslay_chart_create to generate a time-series sentiment trend chart and a channel-breakdown bar chart. Produce an enriched data package for Phase 5.

data analyst

Consume Phase 4 charts and synthesis. Write an executive brand health brief: top narrative threads, risk signals, competitor framing, and recommended response actions. Call verslay_memorize to store updated brand sentiment baseline and top risk signals in memory. Pass brief to distributor.

executive briefing writer

Receive the executive brief from executive-briefing-writer. Distribute the finalized report to the configured Slack channel or email recipient as specified by the user. Confirm delivery and log send timestamp.

distributor

Required Agents

web-researcher
sentiment-analyst
competitive-intel
data-analyst
executive-briefing-writer
distributor

Connections

Required

verslay_exclusive

What it does

Multi-source brand mention scanning
Sentiment classification with themes
Emerging risk detection
Platform-appropriate response templates
Period-over-period trends

Example prompt

What brand name should I scan, over how many days (7, 14, or 30), and which sources (social media, review sites, news articles)? I will flag negative sentiment spikes and summarize overall brand health.

Ready to deploy Brand Reputation Monitor?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Marketing

Brand Reputation Monitor

Know what the internet says before it hurts you.

Catch brand crises early with 24/7 sentiment monitoring across news, forums, and social media. Get a prioritized response plan before small issues become viral PR problems.

Best forEcommerceConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents6 required

Duration3-5 minutes

Scans news, blogs, forums, review sites, and social channels for brand mentions with sentiment classification and risk detection.

How it runs

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

Seed recall context by calling verslay_recall to retrieve prior brand mentions and sentiment baselines stored in memory. Then run verslay_web_search and verslay_news_search to pull the latest press coverage, news articles, and web mentions for the brand name provided by the user. Store raw mention URLs and snippet text as Phase 1 output.

web researcher

Consume Phase 1 mention list. Call verslay_reddit_search and verslay_reddit_top to surface organic community discussion about the brand on Reddit. In parallel, analyze sentiment polarity (positive / neutral / negative) across all collected mentions using natural-language scoring. Produce a sentiment breakdown table with source, snippet, and score.

sentiment analyst

In parallel with sentiment-analyst, call verslay_news_search targeting competitor brand names provided by the user to surface comparative coverage. Identify whether negative sentiment spikes are brand-specific or industry-wide. Pass competitive framing notes to Phase 4.

competitive intel

Run Apify enrichment: call verslay_exclusive_instagram_scrape on the brand handle to collect public post engagement and comment tone. Call verslay_exclusive_twitter_scrape on the brand handle to surface real-time tweet volume and reply sentiment. Call verslay_exclusive_reddit_scrape targeting the brand subreddit and top r/ communities for unfiltered user opinion. Consolidate raw social data and pass to Phase 4.

web researcher

Consume Phase 2 sentiment table and Phase 3 Apify social data. Cross-tabulate mention volume by channel (web/news/Instagram/Twitter/Reddit) and sentiment polarity. Call verslay_chart_create to generate a time-series sentiment trend chart and a channel-breakdown bar chart. Produce an enriched data package for Phase 5.

data analyst

Consume Phase 4 charts and synthesis. Write an executive brand health brief: top narrative threads, risk signals, competitor framing, and recommended response actions. Call verslay_memorize to store updated brand sentiment baseline and top risk signals in memory. Pass brief to distributor.

executive briefing writer

Receive the executive brief from executive-briefing-writer. Distribute the finalized report to the configured Slack channel or email recipient as specified by the user. Confirm delivery and log send timestamp.

distributor

Required Agents

web-researcher
sentiment-analyst
competitive-intel
data-analyst
executive-briefing-writer
distributor

Connections

Required

verslay_exclusive

What it does

Multi-source brand mention scanning
Sentiment classification with themes
Emerging risk detection
Platform-appropriate response templates
Period-over-period trends

Example prompt

What brand name should I scan, over how many days (7, 14, or 30), and which sources (social media, review sites, news articles)? I will flag negative sentiment spikes and summarize overall brand health.

Ready to deploy Brand Reputation Monitor?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Marketing

Brand Reputation Monitor

Know what the internet says before it hurts you.

Catch brand crises early with 24/7 sentiment monitoring across news, forums, and social media. Get a prioritized response plan before small issues become viral PR problems.

Best forEcommerceConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents6 required

Duration3-5 minutes

Scans news, blogs, forums, review sites, and social channels for brand mentions with sentiment classification and risk detection.

How it runs

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

Seed recall context by calling verslay_recall to retrieve prior brand mentions and sentiment baselines stored in memory. Then run verslay_web_search and verslay_news_search to pull the latest press coverage, news articles, and web mentions for the brand name provided by the user. Store raw mention URLs and snippet text as Phase 1 output.

web researcher

Consume Phase 1 mention list. Call verslay_reddit_search and verslay_reddit_top to surface organic community discussion about the brand on Reddit. In parallel, analyze sentiment polarity (positive / neutral / negative) across all collected mentions using natural-language scoring. Produce a sentiment breakdown table with source, snippet, and score.

sentiment analyst

In parallel with sentiment-analyst, call verslay_news_search targeting competitor brand names provided by the user to surface comparative coverage. Identify whether negative sentiment spikes are brand-specific or industry-wide. Pass competitive framing notes to Phase 4.

competitive intel

Run Apify enrichment: call verslay_exclusive_instagram_scrape on the brand handle to collect public post engagement and comment tone. Call verslay_exclusive_twitter_scrape on the brand handle to surface real-time tweet volume and reply sentiment. Call verslay_exclusive_reddit_scrape targeting the brand subreddit and top r/ communities for unfiltered user opinion. Consolidate raw social data and pass to Phase 4.

web researcher

Consume Phase 2 sentiment table and Phase 3 Apify social data. Cross-tabulate mention volume by channel (web/news/Instagram/Twitter/Reddit) and sentiment polarity. Call verslay_chart_create to generate a time-series sentiment trend chart and a channel-breakdown bar chart. Produce an enriched data package for Phase 5.

data analyst

Consume Phase 4 charts and synthesis. Write an executive brand health brief: top narrative threads, risk signals, competitor framing, and recommended response actions. Call verslay_memorize to store updated brand sentiment baseline and top risk signals in memory. Pass brief to distributor.

executive briefing writer

Receive the executive brief from executive-briefing-writer. Distribute the finalized report to the configured Slack channel or email recipient as specified by the user. Confirm delivery and log send timestamp.

distributor

Required Agents

web-researcher
sentiment-analyst
competitive-intel
data-analyst
executive-briefing-writer
distributor

Connections

Required

verslay_exclusive

What it does

Multi-source brand mention scanning
Sentiment classification with themes
Emerging risk detection
Platform-appropriate response templates
Period-over-period trends

Example prompt

What brand name should I scan, over how many days (7, 14, or 30), and which sources (social media, review sites, news articles)? I will flag negative sentiment spikes and summarize overall brand health.

Ready to deploy Brand Reputation Monitor?

Start free. One click, full agent orchestration.

Get Started Free →