RECON — Observable AI Web Intelligence

Most AI tools give you a summary and you have to trust it. RECON shows the work. When you type a company URL into RECON, twelve agents fire in parallel — nine Bright Data products plus orchestration, evidence grounding, and live synthesis. Every step streams to the browser in real time via Server-Sent Events. You watch Web Unlocker bypass bot protection, SERP API surface news and funding signals, Scraping Browser pull LinkedIn and Crunchbase profiles, Discover API rank competitors by intent, Crawl API map the site, MCP Tools execute search-plus-scrape, and three more BD products work their angles in parallel. Claude Sonnet 4.6 starts synthesising the moment six fast agents are done — it doesn't wait for the slow ones. The executive summary writes itself on screen, token by token. Every finding shows a confidence level — HIGH, MEDIUM, or LOW — based on how many sources support it. Every claim has a clickable arrow that opens the exact Bright Data result that proved it. The report carries a composite Intelligence Score from 0 to 100, computed from evidence coverage, weighted confidence, and source diversity. If a claim has no Bright Data source behind it, the grounding validator strips it before it reaches the user. Built for the teams that cannot afford to be wrong: sales pre-call account briefs in 30 seconds, PM and strategy weekly competitive snapshots, M&A first-look diligence at $2 to $25 per report, and compliance vendor due-diligence with audit trail. Per-report cost is transparent — $2.20 in raw Bright Data spend, surfaced in the dashboard. This is what was not possible when AI agents were locked behind generic web search. With Bright Data infrastructure underneath, RECON shows you what ran, what failed, and where every fact came from. No black box. No fake AI.