Rindler
Turns websites that don't have an API into structured, reliable tools an AI agent can call — handling logins, 2FA and bot detection along the way.
🔗 Visit Rindler
Description
AI agents are good at reasoning but bad at using regular websites: logging in, clicking through a 2FA prompt, and parsing a messy page designed for humans, not code. Rindler acts as a translator between the two — it logs into a website on the agent's behalf, deals with authentication and bot-detection walls, and hands back a clean, predictable piece of data instead of a full webpage, the way a human assistant might log into a portal for you and just report back the number you needed.
Rindler is built for the Model Context Protocol (MCP), so it plugs directly into agents like Claude, ChatGPT or Cursor, and targets workflows behind login walls in procurement, government, healthcare, HR, banking and commerce — sites that block scraping or require credentials Rindler is built to handle without exposing them to the agent. Pricing is pay-per-successful-session: one credit per completed session, with failed attempts costing nothing.
💬 Our review
The short version: Rindler is infrastructure for AI agents that need to act on gated, login-required websites without a public API — a narrower and more specialized problem than general web scraping.
The pay-per-success pricing model ($100/month for 100 credits on Starter, scaling to $1,000/month for 1,000 credits on Teams) is a fair way to price something inherently unreliable — agent-facing bot-detection bypass will always have a failure rate, and not charging for failures is the right call. The catch is Rindler is a young, founder-stage company (founded 2025) competing against better-funded, more established players like Browserbase and Firecrawl that solve overlapping problems (headless browser automation for agents) with broader track records. Rindler's specific edge — handling authenticated, credential-gated flows behind 2FA rather than just public page scraping — is real, but it's worth verifying reliability on your specific target sites before committing budget, since the free tier only covers a curated list rather than your actual target sites.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Free: chat access to a curated list of sites. Starter: $100/month (100 credits, 1 custom site). Teams: $1,000/month (1,000 credits, 20 custom sites). Enterprise: custom. 1 credit = 1 completed session; failed sessions are free.
Pros
Works with existing MCP-compatible agents (Claude, ChatGPT, Cursor) out of the box
Handles complex authentication including 2FA and bot detection
Pay-per-successful-session — no charge for failed attempts
Returns compact structured JSON instead of raw HTML
Cons
Free tier limited to a curated list of pre-built site integrations, not your own targets
Custom site coverage capped by plan (1 on Starter, 20 on Teams)
Young company (founded 2025) competing against more established agent-browsing infrastructure
Enterprise pricing and SLA require a sales conversation