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Hyperresearch vs Ryph

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

Hyperresearch compared with Ryph
DetailHyperresearch logo HyperresearchRyph logo Ryph
What it doesAI deep research API that checks every cited claim against its source Open-source AI agent orchestration platform for incident response and automation
StageStartup Not given
Founded2026 Not given
Based inUS Not given
Pricing modelPaid Open source
PricingNot given Not given
Key features
  • Searches 45+ structured sources including SEC filings, statistics agencies, scholarly indexes, books and government records
  • Workspace vault with searchable full-text source storage and independence clustering
  • Integrated MCP server for Claude, Cursor, ChatGPT and other clients
  • Contradiction mapping identifies and investigates disagreements in evidence
  • Automatic report generation with verified citations before shipping
  • Citation verification API for external documents
  • Markdown import and export for vault documents
  • Integrated Answers MCP with ask and search tools for AI agents
  • Incident response with agent investigation and pull request generation
  • Automated workflows triggered on schedules or webhooks
  • Agent summoning from GitHub, GitLab and Radicle with /ryph command
  • Semantic memory system for shared and persistent agent learning
  • Credentials kept behind gateways with no access in sandbox
  • Customized environments per repository with cached dependencies
  • Browser use for agent interactions with live watching
  • Artifacts and pages for reports and overviews
  • Deployment options from laptop to Kubernetes
  • Tool proxy with allowlisted MCP server integrations
What makes it different
  • Every cited claim is verified against the original source before report delivery
  • Searches structured sources like SEC filings and scholarly databases alongside the open web in one call
  • Delivers answers with word-for-word quotes so readers can verify in one click
  • Open-source CLI that powers the hosted service, maintaining feature parity
  • Pay-as-you-go pricing with no minimum commitment or sales team required
  • Agents work without holding real credentials or keys
  • Changes ship as patches that require review before merge
  • Runs on your own infrastructure from laptop to cloud
  • Semantic memory learns across runs with deduplication and contradiction handling
  • Built-in safety assuming agents can be manipulated or exploited
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)32 +4 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)130
Citation Flow (Majestic)310
Referring domains (Majestic)710

4 details filled in for both companies.

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