Datagran is an intelligence layer for AI agents that connects agents to marketing and business data sources and APIs, manages multi-tier persistent memory and vector storage, and provides governance, policy enforcement, and audit logging for agent-initiated actions.
Published Oct 15, 2026
| Starting Price (publicly shown) | Free tier shown on third-party listings; paid tiers reported at mid and higher levels (verify with vendor) | Free and paid tiers publicly shown | Pricing varies by plan (not validated in this research run) |
| Recommended for | Teams needing governed AI-agent access to marketing APIs, persistent memory, and action observability | Data teams activating warehouse data into SaaS tools; stronger public compliance posture | Broad workflow automation across many apps; no-code automations for common integrations |
| Key Strength | Proxy-based token security model, policy/approval concept (AIC), and persistent memory layers | Established reverse-ETL ecosystem and clearer public compliance claims | Large integration library and ease of automation for common workflows |
| Key Weakness | Public compliance attestations and trust-center artifacts not clearly documented; product repositioning may create SKU confusion | Enterprise-focused features may involve a heavier enterprise sales motion for small teams | Not purpose-built for agent safety and governance; governance for complex workflows can be difficult |
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