
From the team
Blog
What we ship, how it performs,
and practical ways to put rtrvr to work.


Research
Financial Markets and Model Routers
Stock markets aggregate information for price discovery. Blockchains distribute execution and settlement. Model routing can combine both architectures: centralized data for selection, local provider estimates, and independent verification of task completion before updating the next route.
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Research
Free, ad-supported, and it never sees your screen
Retriever Auto is live: the agent in the extension is free, paid for by sponsored cards instead of a subscription. That only works because a task now costs us about half a cent. Here is what got the number down — a page representation that is a fraction of a screenshot, a planner that writes programs instead of clicks, and a prompt laid out so repeat tokens cost 50× less.
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Research
How prefix caching cut our browser-agent token bill by 90%
The cache boundary, measurements, and implementation choices that made long browser runs materially cheaper.
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Product
The self-improving action layer we are building
A concrete roadmap for turning successful browser work into reusable actions without losing review and control.
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Proof
From 500 event attendees to 10 prospects
How a browser-based enrichment workflow researched an attendee list, kept its sources, and prepared the best matches for review.
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Research
Websites need headless agents, not chatbots
Browser agents are a compatibility layer. The durable interface is a site-side agent that exposes intent handoff, knowledge, auth, tools, payments, and policy.
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Research
A cheaper browser agent: let DeepSeek write the plan as code
What changed when we replaced repeated tool selection with a compact program executed against a text-first browser state.
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Research
Navigation Was Never the Moat: Why Agents Make the Sell Side Bigger, Not Smaller
Models will soon navigate any website perfectly. That was never the moat. The agent that converts is the one the seller owns — its accounts, its payments, its data — and the world's biggest retailer just proved it inside ChatGPT.
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Research
Replacing browser-agent tool loops with eval() in a Chrome sandbox
A for-loop should not cost tokens. We let the model write browser workflow code once, then execute it locally through a sandboxed `rtrvr.*` DSL layer.
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