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Store Leads

Find and segment e-commerce stores faster

Data & Discovery
For AI agents
MCPAPINative readiness
About

What is Store Leads

Store Leads indexes e-commerce stores and surfaces detailed store and product data, letting users run advanced search queries, track which apps a Shopify store has installed, and export curated lists to CSV or directly into HubSpot and Salesforce. It's built for SDRs, BDRs, and marketing teams at SMBs and mid-market companies that sell into the e-commerce vertical and need a reliable way to build and prioritize target account lists. The standout capability is app-installation tracking on Shopify stores — if you sell a competing or complementary tool, you can filter by exactly who is or isn't already using it. That said, Store Leads is e-commerce-specific; if your ICP spans industries beyond online retail, you'll need a separate data source to cover the rest of your addressable market.

Data & Discovery
Capabilities

Key features

Prospecting database

searchable B2B contact + company directory

Native CRM integration

first-party connectors, no middleware required

Also ships

Chrome extension

Outbound webhooks

event-driven integrations

Our verdict

Vanderbuild take

For SDR and marketing teams selling into e-commerce, Store Leads is one of the few prospecting databases purpose-built for the vertical — it goes deeper on store-level firmographics, installed tech, and product data than general-purpose tools. On the agentic side, this is non-negotiable if you're building AI-driven outbound workflows: the native MCP server means AI agents can query store data, trigger searches, and pull enrichment without any custom middleware. Pricing isn't publicly listed, so budget conversations will need to happen directly with their team before you can assess fit at your tier. The honest constraint here is scope — Store Leads covers e-commerce stores well, but if your ICP extends beyond online retail into brick-and-mortar or B2B SaaS, you'll be stitching it together with another data source.

Mateusz Sekta
Founder, vanderbuild
Learn more

Our Resources

The wedge

Agentic stack profile

MCP server
Yes

Live MCP server — agents can call this tool directly.

Provides tools for AI assistants to search and filter e-commerce domains, look up specific domain details, analyze apps and technologies, and retrieve product lists. Authentication is handled via a Store Leads API key.

Open MCP →
API
REST

Programmatic access available.

REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.

API docs →
Agentic readiness
Native

Built for agents from the ground up.

MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.

Stack role
Data source · Enricher

Where this tool slots into an agentic pipeline.

Plays the role of Data source + Enricher in an agentic pipeline. Use it to source contacts, companies, and the raw inputs an agent needs to act; add firmographic, technographic, and signal data to a lead row on the fly.

Compare

Store Leads alternatives

Tools that solve a similar problem — compared at a glance.

Store Leads(this tool)
Best for
SDR / BDR, Marketing
Readiness
Native
MCP
Yes
API
REST
Apollo
Pricing
Freemium
Budget
$$
Best for
SDR / BDR, Account Executive
Readiness
Native
MCP
Yes
API
REST
Lusha
Pricing
Freemium
Budget
$$
Best for
SDR / BDR, RevOps
Readiness
Native
MCP
Yes
API
REST
Answers

Frequently asked questions

Does Store Leads have an MCP server?

Yes — Store Leads exposes a Model Context Protocol server. Provides tools for AI assistants to search and filter e-commerce domains, look up specific domain details, analyze apps and technologies, and retrieve product lists. Authentication is handled via a Store Leads API key. See the MCP docs at https://storeleads.app/mcp.

Does Store Leads have a public API?

Yes — Store Leads ships a REST API. Docs: https://storeleads.app/api.

Who is Store Leads best for?

Store Leads is built for SDR / BDR, Marketing. Fits SMB (1-50), Mid-market (50-500)-sized teams.

How well does Store Leads fit an agentic sales stack?

Tier: Native. Has both an MCP server and an agent-friendly API — drops into an agentic stack with minimal glue code.