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Home»Interviews»System1 Launches Dogpile Fetch, a New Search MCP Server From the Web’s Authentic Metasearch Engine, Giving AI Brokers a Wider View of the Internet
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System1 Launches Dogpile Fetch, a New Search MCP Server From the Web’s Authentic Metasearch Engine, Giving AI Brokers a Wider View of the Internet

Editorial TeamBy Editorial TeamJuly 23, 2026Updated:July 23, 2026No Comments2 Mins Read
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System1 Launches Dogpile Fetch, a New Search MCP Server From the Web’s Authentic Metasearch Engine, Giving AI Brokers a Wider View of the Internet
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System1 , which operates flagship web manufacturers together with CouponFollow, MapQuest, and Startpage.com, and a best-in-class buyer acquisition and advertising platform powered by synthetic intelligence, launched Dogpile Fetch, an online search API and MCP server constructed for AI brokers, below Dogpile — the metasearch engine that has been fetching the net since 1996.

Additionally Learn: AiThority Interview with Matej Bukovinski, Chief Know-how Officer at Nutrient

AI brokers counting on a single search index see solely about half of what’s findable.

Dogpile Fetch installs in Claude Code, Cursor, or any MCP-compatible shopper in below two minutes. Each question is classed and routed to the perfect backend routinely, returning ranked outcomes, information graph knowledge, and Individuals Additionally Ask questions. For tougher questions, a Deep mode breaks the question into a number of searches and deduplicates what comes again. Pricing begins at $2 per 1,000 calls, with a free month-to-month credit score and no bank card required.

The MCP launch is grounded in new analysis. In an evaluation revealed this week, the Dogpile group ran actual agent queries by way of seven standard search APIs and located that any single search index surfaced solely about half of what the others may collectively discover. An individual notices skinny outcomes and searches once more. An AI agent doesn’t — it takes ten outcomes and writes a assured reply.

“We measured it: choose anyone search software and your agent misses about half of what the opposite indexes discover,” mentioned Chris Testa, System1’s Chief Know-how Officer. “Thirty years in the past Dogpile’s reply was to go looking all of them and pile up the perfect outcomes. It seems that’s precisely what your agent wants now.”

In 1996, no two search engines like google and yahoo agreed on something, so Dogpile searched them all of sudden and piled up the perfect outcomes — therefore the identify. In 2006, a examine commissioned by Dogpile’s then-parent firm ran 12,570 actual queries throughout the 4 main engines of the day and located that 84.9% of first-page outcomes appeared on just one. Twenty years later, Dogpile’s new evaluation discovered the identical sample holds for the search APIs powering AI brokers — and this time, the searcher can’t inform what it’s lacking.

Additionally Learn: ​​AI methods – Interoperable AI methods: Connecting fashions throughout platforms

[To share your insights with us, please write to psen@itechseries.com]



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