Anubis offers a lightweight proof‑of‑work gateway that presents a client‑side computational puzzle to each incoming request, raising the cost for automated scrapers while remaining transparent to legitimate browsers. The service integrates with a one‑line SDK for Node, Python, Go, and PHP, and includes optional fingerprinting and analytics to help digital publishers, e‑commerce sites, and SaaS platforms control bot traffic.
Funding
Funding not disclosed
Founders
Product
Problem
Websites are increasingly targeted by automated scrapers and AI-driven data extraction tools, which can overload servers, cause downtime, and expose proprietary content without consent. Traditional anti-bot measures often generate false positives or require intrusive CAPTCHAs that degrade user experience.
Solution
Anubis implements a lightweight proof‑of‑work (PoW) gateway that presents a Hashcash‑style computational puzzle to each incoming request. Legitimate browsers solve the puzzle in milliseconds, remaining transparent to end users, while mass‑scale scrapers incur a significant CPU cost that throttles their throughput. The PoW layer is delivered via a modern JavaScript module that can be embedded in any web stack, and it can be combined with fingerprinting heuristics to bypass the challenge for verified human traffic. Site operators gain a configurable, server‑side enforcement point that raises the economic barrier for unwanted bots without degrading the visitor journey.
Target Audience
The primary customers are digital publishers, e‑commerce platforms, SaaS providers, and any online service that must protect content or APIs from high‑volume automated scraping.
Features
- Hashcash‑derived PoW challenge generated on the client side using ES2022 JavaScript features
- Adjustable difficulty parameters (bits of work) to balance human latency against bot cost
- Stateless token issuance that can be validated by any backend language via a simple HMAC verification API
- Optional headless‑browser fingerprinting module (font rendering, canvas, WebGL) to auto‑whitelist legitimate users
- One‑line SDK integration for Node, Python, Go, and PHP environments with automatic request interception
- Real‑time analytics dashboard showing challenge pass rates, average solve time, and bot‑detected traffic volume
- Compatibility with standard HTTP status codes (403/429) and graceful fallback for browsers without JavaScript support
- Open‑source reference implementation and extensible plugin architecture for custom challenge logic