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Grabbit vs Kanlet

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

Grabbit compared with Kanlet
DetailGrabbit logo GrabbitKanlet logo Kanlet
What it doesThe agent-first screenshot API Semantic context layer that helps AI agents understand your business data accurately
StageNot given MVP
Founded2026 Not given
Based inUS Not given
Pricing modelPaid Not given
Pricing$0.002 per grab, flat rate. Annual plan: $50/year for 25,000 grabs. Prepaid top-ups available: $50 for 25,000 grabs, $100 for 50,000 grabs, $250 for 125,000 grabs. Credits do not expire while account remains active. Not given
Key features
  • Full-page or fixed-viewport capture
  • PNG, JPEG, or WebP output formats
  • Cookie-consent dismissal
  • Wait for selector or delay
  • Async with signed webhooks
  • SSRF-guarded and idempotent
  • One-line CLI install
  • Hosted MCP server
  • Hosted CDN delivery
  • Connects to 15+ data systems including Snowflake, Databricks, BigQuery, Redshift, dbt, Airflow, Tableau, Looker, Power BI and Postgres
  • Extracts structural metadata including databases, schemas, tables, views, columns and relationship lineage
  • Provides Web-UI, MCP server and REST APIs for accessing semantic context
  • Automatic incremental updates with configurable sync schedules from on-demand to daily or weekly
  • Role-level access controls and data classifications including PII, PHI and SPII
  • Only reads metadata without accessing or moving actual data from systems
  • Integrates with quality monitoring tools including Monte Carlo, Anomalo and Bigeye
What makes it different
  • Agent-first design with CLI and MCP integration
  • Test keys return free placeholders for development
  • Built by Twilio infrastructure leaders
  • Handles cookie banners and lazy-loaded content automatically
  • Eliminates confident AI mistakes by grounding agents in semantic context instead of having them guess from table names
  • Reduces AI token costs and speeds up answers by resolving schema and joins once upstream instead of in each agent query
  • Ensures consistent answers across all agents and teams using the same definitions and business logic
  • Provides complete traceability and auditability of AI decisions with documented context and ownership
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 +1 (up) since last check8 no change since last check
Trust Flow (Majestic)111
Citation Flow (Majestic)3224
Referring domains (Majestic)29629

3 details filled in for both companies.

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