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Vectorize vs BeatAPI

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

Vectorize compared with BeatAPI
DetailVectorize logo VectorizeBeatAPI logo BeatAPI
What it doesAgent memory that learns from experience One API for AI agents to access models, data and tools with one key and one balance
StageStartup Not given
Founded2024 Not given
Based inUS Not given
Pricing modelFreemium Paid
PricingSelf-hosted: Free, MIT licensed. Hindsight Cloud: Pay-as-you-go with free credits to start. Retain (store memories) $10.00 per million tokens, Recall (retrieve memories) $0.75 per million tokens, Reflect (synthesize patterns) $0.05 per call, Iris Extract (structured extraction) $7.50 per million tok Not given
Key features
  • Per-user persistent memory with preferences, history and decisions kept separate
  • Cross-session persistence allows context to survive weeks between interactions
  • Fast parallel retrieval in under 100ms through four strategies running simultaneously
  • Works with any LLM without losing learned context when swapping models
  • Learns from mistakes and corrects behavior on repeated problems
  • Automatic pattern detection synthesizes individual facts into consolidated knowledge
  • Conflict detection preserves both old and new states with timestamps when facts change
  • Integrates with 20+ coding agents including Claude Code, Cursor, and Copilot
  • 70+ AI models from multiple providers at up to 78% discount
  • 1,000+ social data APIs for TikTok, Instagram, YouTube, X, Reddit, LinkedIn, Threads, Xiaohongshu and Douyin
  • Web tools including search, page reading, and site maps
  • Image, video and workflow generation
  • Single API key and USD balance for all capabilities
  • Price inspection before execution
  • Hosted image and video output with URLs
  • MCP and HTTP API support for agent integration
  • Structured JSON output from data queries
  • No charges for failed data and web calls
What makes it different
  • 94.6% retrieval accuracy on LongMemEval-S, beating next-best system at 74.0%
  • MIT licensed open source with no usage limits, telemetry or restrictions
  • Reflection layer automatically builds judgment and mental models over time without manual tagging
  • Entity resolution handles hundreds of entities with 99.5% query reduction
  • Built specifically for agents to use independently - they search the catalog, inspect contracts and prices, then execute
  • Unified billing across 70+ models and 1,000+ data APIs with no separate vendor accounts
  • Price transparency - every capability publishes cost before execution
  • Hosted file storage for generated images and videos
  • Supports multiple AI agents and any HTTP client with one setup line
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)68 +1 (up) since last check40 −1 (down) since last check
Trust Flow (Majestic)1810
Citation Flow (Majestic)4735
Referring domains (Majestic)1378206

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