Tabductor

For developers & ai agents

Browser tools your agents can call, and trust

An agent that re-plans every click is slow, costly and different each time. Tabductor lets an agent learn a browser task once, distills it into a script, and exposes it to your code over the REST API and to your agents over MCP.

Where it fits

From the sites you use to results you can use

Sites you use today

  • Any website
  • Signed-in web apps
  • Sites without an API
  • Your own staging apps

Tabductor

  1. Agent runLearns the task once in a stealth browser
  2. Distilled scriptReruns it in seconds, the same way each time

What you get

  • Typed results over the REST API
  • MCP tools for your agents
  • Managed browsers over CDP
From the sites your team already works in to results you can use, without an integration on their side.

The difference

Do it once, not every time

The work by hand repeats in full on every round. In Tabductor, you describe it once and the schedule does the rest.

5 steps, every time

By hand

  1. Host and patch your own headless browsers
  2. Rotate proxies and handle CAPTCHAs yourself
  3. Prompt an agent through the same clicks on every call
  4. Debug runs from logs, without seeing the page
  5. Rewrite selectors whenever the site changes

3 steps, once

With Tabductor

  1. Describe the tool's job; the agent learns it once
  2. Calls run the distilled script, with typed inputs and outputs
  3. When a guard trips, the agent repairs it and you can replay what happened

Over time

Agent once, script after

The first run is an agent finding its way. Every run after is the distilled script: seconds, not minutes, and a fraction of the cost. When the site changes, the agent repairs the script and steps aside again.

Run historyOn every API or MCP call
  1. Call 1Agent run · Agent learns the task
  2. Call 2Distilled script
  3. Call 3Distilled script
  4. Call 4Distilled script
  5. Call 5Agent repair · App renamed a form field
  6. Call 6Distilled script
  7. Call 7Distilled script
Illustrative. Bar length shows run time relative to the first agent run. The agent comes back only when a guard trips, then hands the job back to the script.

Examples

Workflows to start from

Each one starts as a sentence like these. Change the site, the schedule or the fields to fit your work.

  • Order status toolOn demand
    Given an order number, sign in to the supplier portal and return the order's status, carrier and tracking number.
    • order_number
    • status
    • carrier
    • tracking
  • Form filingOn demand
    Given a company's details, fill in the registration form on the partner portal, submit it and return the reference number.
    • reference
    • submitted_at
  • Agent research toolOn demand
    Given a product name, search the review site and return the average rating, review count and the three most recent reviews.
    • rating
    • reviews
    • recent

Try it on your own work

Describe one job your team repeats. The first run shows you exactly what the agent did.

More solutions

Developers & AI agents use cases · Tabductor