Vectorize vs DataDoe

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 DataDoe
Detail	Vectorize	DataDoe
What it does	Agent memory that learns from experience	Amazon data and action layer for any AI
Stage	Startup	Startup
Founded	2024	2025
Based in	US	US
Pricing model	Freemium	Free trial
Pricing	Self-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	$97 per month after a 14-day free trial. Includes 2,000 AI tokens per month (4,000 for the first 3 months), 10,000,000 data rows, one seat, unlimited Seller Central, Vendor Central and Amazon Ads connections, MCP, REST API, BigQuery access, and write-back Actions. Add-ons: +$49 per 10M data rows, +$
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	MCP and REST API access to 130+ Amazon tables Connect to any AI including Claude, ChatGPT, Gemini, Cursor Write-back Actions to update listings, prices, bids and orders BigQuery integration for custom queries and BI tools Unified data from Seller Central, Vendor Central and Amazon Ads About two years of historical data backfilled Amazon-approved for buyer PII handling
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	Single normalized schema joining Seller, Vendor and Ads data Retains data history longer than Amazon's API windows Lower AI token consumption than Amazon's own MCP Writes off by default with optional dry-run preview No per-account billing for unlimited Seller, Vendor and Ads connections
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	68 +1 (up) since last check	23 +1 (up) since last check
Trust Flow (Majestic)	18	16
Citation Flow (Majestic)	47	38
Referring domains (Majestic)	1378	124

8 details filled in for both companies.

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