Last updated 07-30-2026
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VOC.AI (formerly Shulex VOC)
VOC.AI turns Amazon and marketplace reviews, keywords, and sales signals into answers e-commerce sellers and AI builders can act on. It covers 2 billion-plus reviews across 500 million products in 30-plus categories, refreshed daily. You can query that dataset through a conversational Agent, a REST/Python/MCP API, or the classic VOC analysis dashboard that 100,000-plus sellers have used since 2020.
Most Amazon seller suites like Helium 10 and Jungle Scout hand you dashboards and expect 30-plus minutes of clicking before you get a read. VOC.AI is built around direct questions: ask about competitor ASINs, buyer pain points, or listing gaps and get a ranked action list in about 60 seconds. The MCP server also lets engineering teams plug the same review corpus into Claude Desktop, Cursor, or ChatGPT instead of copying CSV exports between tools.
Brand operators and listing teams use it to prioritize fixes from review complaints and spot market gaps competitors miss. Agencies and product researchers lean on competitor intelligence boards and keyword research when scoping launches. Developers and AI builders call the REST API or MCP endpoint when they need structured review, keyword, and sales data inside their own agents.
Covers 2B+ ecommerce reviews across 500M+ products in 30+ categories with daily refreshes
Free plan includes 2,000 credits for 3 days with GPT-5.5 and roughly 25 data queries
MCP server connects to Claude Desktop, Cursor, Codex, and ChatGPT with one config line
Pain Point Priority Matrix ranks complaints by recency and star rating across any ASIN
Pro plan at $69 per month includes 105,000 credits and 3 API keys for batch Agent tasks
Competitor Intelligence compares two ASINs side by side on buyer wins and leak points
One credit system spans Agent chat, REST API, and MCP access on the same dataset.
Conversational Agent returns charts, tables, and ranked actions instead of static dashboards alone.
MCP integration drops Amazon review data into Claude, Cursor, or Codex workflows.
Dataset scale (2B+ reviews) exceeds what manual review reading can cover.
Classic VOC analysis boards remain available for long-time dashboard users.
Credit-based pricing can be hard to forecast across mixed query and report usage.
Primary focus is Amazon and ecommerce review data, not general business feedback channels.
Team plans bill annually, which may not suit solo sellers testing short term.
Is VOC.AI free to try?
Yes. VOC.AI offers a Free plan with 2,000 credits valid for 3 days, which covers roughly 25 data queries and 10 research reports. That trial includes the GPT-5.5 engine so you can test Agent, API, and MCP workflows before upgrading.
How much does VOC.AI cost?
VOC.AI paid personal plans start at $29 per month for the Basic tier with 35,000 monthly credits. The Pro plan is $69 per month with 105,000 credits, while Team Lite starts at $599 per year for shared pools and 5 team seats.
What data does VOC.AI include?
VOC.AI tracks 2 billion-plus ecommerce reviews across 500 million products in 30-plus categories. The dataset refreshes daily and feeds review sentiment, keyword volume, sales estimates, and listing signals to the Agent, API, and classic VOC boards.
Does VOC.AI have an MCP server?
Yes. VOC.AI exposes an MCP server at open.voc.ai/mcp-server for Claude Desktop, Cursor, Codex, and ChatGPT. You authenticate with an X-API-Key header so your agent can fetch review corpora, keyword data, and sales estimates without a custom backend.
How is VOC.AI different from Helium 10?
VOC.AI targets a decision in about 60 seconds through conversational Agent answers, while VOC.AI cites Helium 10 and Jungle Scout as taking 30-plus minutes in dashboard workflows. VOC.AI also ships REST, Python SDK, and MCP access so the same dataset plugs into external AI tools.
What can the VOC.AI Agent analyze?
The VOC.AI Agent ships ready-made playbooks for competitor insights, review voice-of-customer analysis, listing optimization, and market judgment. Responses can include charts, tables, and product cards instead of requiring you to build reports manually in a separate dashboard.
Does VOC.AI offer team plans?
Yes. VOC.AI Team Lite costs $599 per year with 840,000 shared credits and 5 seats for teams of 3 to 5. Team Growth is $1,199 per year with 1,750,000 credits, 15 seats, and higher API and MCP rate limits for groups of 10 to 20.