Insight Stacks provides a web API that routes each request through real mobile devices deployed in over 190 countries, delivering low‑latency, high‑accuracy search results and media content for AI agents.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents need reliable, up-to-date web data that reflects local conditions, but traditional scraping relies on datacenter proxies, suffers from latency, geographic inaccuracy, and frequent blocking, limiting the quality and trustworthiness of the information they consume.
Solution
Insight Stacks offers a web API that routes each request through real mobile devices deployed in over 190 countries, providing low‑latency (average 2.3 s) and high‑accuracy search results with 99.9 % uptime. The platform supports multi‑engine, multi‑modal, and multi‑geo crawling, allowing AI stacks to fetch localized content at scale without managing infrastructure. Results are returned in an agent‑ready format via the API or through the Managed Crawler Platform (MCP), enabling seamless integration into existing workflows. By leveraging a network of 3 M+ real devices, Insight Stacks delivers verifiable, continuously refreshed web signals that AI models can trust for reasoning, planning, and decision‑making.
Target Audience
Primary customers are AI developers, autonomous agent platforms, and enterprises building LLM‑driven products that require real‑time, location‑specific web data at scale.
Features
- Real‑device routing: each request runs on an actual mobile device in the target country, eliminating proxy‑related bias and blocking.
- Multi‑engine support: combine results from multiple search engines in a single API call for broader coverage.
- Multi‑modal crawling: retrieve HTML, images, videos, and other media types needed by diverse AI applications.
- Multi‑geo capability: fetch localized content from any of 190+ countries, ensuring geographic relevance.
- Agent‑ready output: structured JSON responses optimized for direct consumption by LLMs and autonomous agents.
- Managed Crawler Platform (MCP): UI and workflow tools for scheduling recurring crawls, monitoring performance, and managing credit usage.
- High availability: 99.9 % uptime with average latency of 2.3 seconds across the global device network.