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Particl

AI-powered competitor and retail intelligence with SKU-level market data

ecommerce#competitive intelligence#retail analytics#pricing intelligence#market research
Claimed API Teams
Toolglade’s take

Particl is a genuinely specialist tool: automated, SKU-level retail competitor intelligence rather than another content or ads product. The MCP integration for natural-language querying is a modern, standout touch. Pricing is not public and aimed at retail teams, so expect a sales conversation and a mid-market-plus budget. Most useful for merchandising, pricing, and strategy roles at brands with real competitors to track.

About Particl

Particl is an AI retail intelligence platform that automates competitor tracking across thousands of retailers with SKU-level data on sales, pricing, inventory, and promotions, queryable via MCP.

Particl automates the competitive-intelligence work retail teams used to do manually, aggregating product revenue, pricing, promotions, and assortment data across more than 20,000 retailers and thousands of competitors. It delivers SKU-level visibility so ecommerce and merchandising teams can spot best sellers, emerging demand, pricing moves, and market gaps across categories like apparel, beauty, home goods, and consumer goods. This turns scattered market signals into structured, benchmarkable insight. A distinctive feature is natural-language access: Particl connects directly to Claude, ChatGPT, or any MCP-enabled client, so teams can query competitor data and surface trends conversationally. Benchmarking, promotion, and events modules compare a brand's products against rivals and track how competitor launches and discounts influence demand. It suits merchandising, pricing, and strategy teams at retail and DTC brands that need data-driven competitive decisions.

TL;DR

Particl is an AI retail intelligence platform that automates SKU-level competitor tracking across thousands of retailers, with natural-language querying via MCP.

Company overview

Particl is a retail-intelligence company that automates competitive intelligence for ecommerce and merchandising teams, aggregating market data across tens of thousands of retailers. It differentiates with modern AI-client integrations.

The company serves retail and DTC brands that need structured, SKU-level visibility into competitor performance to guide merchandising, pricing, and strategy decisions.

Product features

Particl aggregates product revenue, pricing, promotions, and assortment data across 20,000+ retailers and thousands of competitors, delivering SKU-level insight into best sellers, demand, and market gaps. Benchmarking and promotion modules compare brands against rivals.

A key differentiator is MCP integration, letting teams query competitor data through Claude, ChatGPT, or other MCP clients, plus API access for custom workflows, turning market monitoring into conversational, automatable intelligence.

Target market

Particl targets merchandising teams, pricing analysts, and retail strategists at brands and retailers with meaningful competition to track.

Buyer personas

End users

Merchandisers and analysts monitoring competitors.

Buyers

Retail and ecommerce strategy leaders.

Key influencers

Pricing and category management specialists.

Ideal customer profile

A retail or DTC brand with active competitors that needs automated, SKU-level competitive intelligence to inform merchandising and pricing decisions.

Funding & performance

Funding details are not publicly confirmed; verify with the vendor.

Pros & cons

Pros

  • SKU-level competitor visibility
  • Covers 20,000+ retailers
  • Natural-language querying via MCP
  • Benchmarking and promotion modules
  • Broad category coverage
  • Automates manual market research

Cons

  • Pricing not public
  • No free plan or trial listed
  • Enterprise-oriented cost
  • Focused on retail verticals
  • Requires competitors worth tracking

Pricing plans

Custom
Contact
  • SKU-level competitor data
  • 20,000+ retailers tracked
  • Benchmarking modules
  • MCP and API access
  • Team collaboration

Key features

API
Team collaboration
Integrations
Claude, ChatGPT, MCP, API
Input types
text
Output types
text, data
Best For
merchandising teams, pricing analysts, retail strategists

Compare key features

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Feature
Particl
Klevu
Hypotenuse AI
Pricing
Contact for pricing
Paid
Paid
Free plan
No
No
No
Free trial
No
Yes
Yes
API
Yes
Yes
Yes
Team support
Yes
Yes
Yes

Frequently asked questions

What does Particl track?+

It tracks competitor sales, pricing, inventory, and promotions at SKU level across more than 20,000 retailers and thousands of competitors.

Can I query it in natural language?+

Yes. Particl connects to Claude, ChatGPT, or any MCP-enabled client so you can query competitor data conversationally.

Which categories does it cover?+

It covers apparel, beauty, health, consumer goods, jewelry, home goods, supplements, and more.

Is pricing public?+

No. Particl does not list pricing publicly and directs prospects to contact sales.

Who is Particl best for?+

It suits merchandising, pricing, and strategy teams at retail and DTC brands that need data-driven competitive insight.

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