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Cogni vs Outcrawl

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Cogni compared with Outcrawl
Detail CogniOutcrawl logo Outcrawl
What it doesMemory that reasons Web infrastructure for AI agents
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelFreemium Not given
PricingFree plan at $0 USD; Pro plan at $5 USD per month. Free: 1,000 credits/month, no card; Builder: $49/month for 10,000 credits; Pro: $199/month for 50,000 credits; Scale: $799/month for 250,000 credits. Enterprise with custom terms available. Credits cost approximately $0.0032-$0.0049 per page, $3.20-$4.90 per 1,000 pages, or about $0.19-$0.29/hour of
Key features
  • Entity-graph spreading activation for cross-vocabulary retrieval
  • Works with any LLM model
  • No LLM or GPU in retrieval path
  • Point-in-time and windowed recall
  • Timestamped memories
  • Fixed recall cost as memory grows
  • Scrape: Convert any web page into clean markdown or structured JSON
  • Crawl: Fetch every page on a site from a single link and receive results as they are ready
  • Search: Query the web with top results already read and parsed
  • Browsers: Real browser instances in the cloud controlled via Playwright, Puppeteer or SDK
  • Agents: Autonomous task execution in a real browser with plain English descriptions
  • Session recordings: Every browser session is recorded for debugging and verification
  • Monitor: Watch pages on a schedule and receive notifications when content changes
  • Saved logins: Store credentials securely for agent runs requiring authentication
  • MCP integration: Connect to Claude Code, Codex or Cursor with one command
  • Real browser handling: Sites treat agents as humans so pages load and sessions persist
What makes it different
  • Reaches answers across unrelated documents that share no keywords, where vector search scores zero
  • Deterministic retrieval with no model in the path, so results never vary between queries
  • Constant per-query cost regardless of memory size, even at 32,000 words
  • No infrastructure to run—no vector database, cluster, or GPU needed
  • Works with any model, so small local models gain the most from better retrieval
Not given
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)4 no change since last check24 +9 (up) since last check
Trust Flow (Majestic)29
Citation Flow (Majestic)2131
Referring domains (Majestic)3460

4 details filled in for both companies.

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