For sales and marketing teams selling into ecommerce, Store Leads is a database that tracks which platforms, apps, and technologies online stores run, letting teams filter and export lists of prospects by tech stack and store attributes.
Presence & Market Position
#60 of 103
GTM Developer Tools
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Store Leads is working to be the data layer for teams that sell to, enrich, or analyze ecommerce businesses. Its product maps stores to their commerce platforms, installed apps, technologies, products, and operating attributes, then makes that dataset available through search, exports, CRM workflows, and developer interfaces. Practitioner conversation treats it as a specialist source alongside broader prospecting databases, particularly when ecommerce stack data or recent technology changes matter. Its presence also shows up through data-provider integrations, where Store Leads supplies enrichment for larger GTM workflows rather than requiring every user to work in its own interface.
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Business Profile
Founded in 2019, Store Leads is an independent company run by a team of four. The business has built a broad ecommerce dataset through weekly collection of public web information, with historical archives extending back to its early operating years. Its commercial model spans interactive search, exports, CRM enrichment, workflow automation, API access, and data products for market research and investment analysis. The compact team supports a large and continuously updated data footprint, giving the company a focused position as infrastructure for agencies, app developers, sales teams, and analysts working in ecommerce.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Store Leads exposes both a REST API and an MCP server. The API returns structured ecommerce records and supports search, enrichment, webhooks, and historical analysis. The MCP server lets compatible assistants query the same store and technology data in natural language, using the customer’s API credentials and plan permissions. That gives agents a direct path to live prospecting and market-research data rather than requiring manual exports.
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