rtrvr.ai

From the team

Blog

What we ship, how it performs,
and practical ways to put rtrvr to work.

Financial Markets and Model Routers

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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How We Built a Free Browser Agent, Paid for by Ads

Research

How We Built a Free Browser Agent, Paid for by Ads

How rtrvr cut a browser-agent task to about half a cent using semantic page trees, code plans, and prompt caching, then made the agent free with sponsored cards.

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How prefix caching cut our browser-agent token bill by 90%

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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The self-improving action layer we are building

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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From 500 event attendees to 10 prospects

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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Websites need headless agents, not chatbots

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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A cheaper browser agent: let DeepSeek write the plan as code

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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Navigation Was Never the Moat: Why Agents Make the Sell Side Bigger, Not Smaller

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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Replacing browser-agent tool loops with eval() in a Chrome sandbox

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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PUT IT TO WORK

Run the idea on a real site.

Start with the sites open in Chrome. Move repeated or parallel work to Cloud. Talk to us when the agent belongs inside your product or team.