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IvyCheck

EviPulse automatically tracks competitor pricing, feature launches, and positioning shifts using verified, multi-sourced intelligence. The platform allows users to configure monitoring via natural language or advanced custom schemas for structured data extraction. This service replaces time-consuming manual research with continuously updated, source-attributed competitive data.

Berlin, GermanyFounded 20221300+ followers
Updated 20 months ago

Funding

$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Large language models (LLMs) often require access to real-time information to provide accurate and up-to-date responses, but integrating web search and data extraction capabilities can be complex and prone to errors due to dynamic website structures and anti-scraping measures. Existing solutions often return unstructured data, requiring additional processing before it can be effectively used by LLMs.

Solution

IvyCheck provides an API designed to enable LLMs to access and utilize live web data. The API automates real-time web searches and extracts structured information from web pages, eliminating the need for developers to handle HTML, CSS, or JavaScript. By specifying token limits, users can restrict the result length and receive only the most relevant sections, optimized for integration with LLMs. The service also implements measures to avoid being blocked while scraping live websites.

Target Audience

The primary target audience includes AI application developers and enterprise teams who need to integrate real-time web data into their LLMs for tasks such as question answering, content generation, and data analysis.

Features

  • Real-time web search and data extraction via a simple API endpoint
  • Structured data output in Markdown format, optimized for LLM consumption
  • Configurable token limits to control the length of search results
  • Reranking models to prioritize the most relevant content for LLMs
  • Automated handling of website scraping, bypassing anti-scraping measures
This profile is AI-generated and may contain inaccuracies.