AI agents
Give AI agents the web without browsers.
Agents are bad at operating browser fleets. Roolink turns the protected web into one deterministic API call an agent or tool can make and reason about.
import requests, os
def fetch_protected(url: str, user_agent: str) -> dict:
"""Tool the agent calls instead of driving a browser."""
r = requests.post(
"https://web.roolink.io/api/v1/sensor",
headers={"x-api-key": os.environ["ROOLINK_KEY"]},
json={"url": url, "userAgent": user_agent},
timeout=15,
)
r.raise_for_status()
return r.json() # sensor data, post it then request the pageThe problem
Where ai agents hits the wall.
AI agent and assistant builders run into this constantly. Here is the concrete version, and where Roolink stops.
An agent asked to check live flight prices or event availability hits a 403 the moment it touches a protected endpoint. The usual fix is to give the agent a headless browser, which adds seconds of latency, a fleet to babysit, and failure modes the model cannot interpret. Roolink collapses that into one tool call. The agent gets a valid session and clear status codes, so retries and fallbacks become deterministic instead of guesswork.
Who this is for
- AI agent and assistant builders
- Research automation platforms
- AI travel and shopping products
- Internal data automation teams
What ai agents teams replace
- Agents hit 403 and 418 on any Akamai or Kasada protected target
- A headless browser per agent run adds latency, cost, and a fleet to operate
- Browser failures are noisy and hard for a model to classify or recover from
- Repeat agent workflows need guardrails and predictable cost
Workflow
How Roolink fits a ai agents workflow.
Roolink handles the anti-bot step. Your team owns scheduling, storage, analysis, and business logic.
Typical workflow
- Expose Roolink as a tool or function in your agent runtime
- The agent calls it with the target URL and context
- Roolink returns a valid session or token for the protected request
- The agent reads structured data and branches on clear status codes
Operational outcomes
- Protected pages reachable through one tool or function call
- Clear status codes the agent can branch on
- No browser fleet inside the agent failure domain
- Per request cost that is easy to budget and rate limit
Platform products
Products for ai agents.
Each is callable from the same API key. Most teams here use one or two.
FAQ
AI agents questions.
Short answers for teams evaluating whether Roolink is a fit.
Why not just give the agent a headless browser?
You can, but then you operate a browser fleet inside your agent failure domain. Roolink is one call with a clear response, which is far easier for a model to use and for you to budget.
Does Roolink provide an agent framework?
No. Roolink is request based infrastructure you wire in as a tool, function, or backend service from any framework or language.
Which SDKs and languages are supported?
Official Go, JS, and Python SDKs (github.com/roolinkio), plus a plain REST API any language can call. One call gets you in.
Related use cases
Teams doing ai agents also run:
The same request-based model maps cleanly across adjacent workflows.
Price monitoring
Price monitoring
Scrape pricing, fares, and inventory from Akamai and Kasada protected sites with a request based API, instead of a Playwright or Puppeteer fleet of headless browsers.
View use caseMarket research
Market research
Collect repeatable product, pricing, and availability data from Akamai and Kasada protected sources without making browser automation the core problem.
View use caseAcademic research
Academic research
Support approved academic studies that need consistent, documentable collection from protected web and mobile sources without browser farm maintenance.
View use caseReady to test this workflow?
Create an account or talk to us about your volume, sources, and integration path.