Datagran

Middleware platform that connects AI agents to marketing APIs, manages context windows, and provides full observability.

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datagran.io
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Quick facts
What is it Middleware platform that connects AI agents to marketing APIs, manages context windows, and provides full observability.
Pricing Unknown
Platform Web Application
API Yes
Best for securing AI agent access to marketing platforms, managing context windows for AI agents handling large datasets
Domain registered 2018

Data updated Aug. 1, 2026

What does Datagran do?

Datagran is a middleware platform designed specifically for AI agents. It acts as an intelligence layer that sits between your AI tools and the data sources they need to access. Think of it as a control center that connects AI agents to marketing platforms like Facebook Ads, Google Ads, and TikTok Ads, as well as databases and other business systems. Its primary job is to solve the 'context problem'—managing the knowledge AI needs to operate effectively without getting bogged down by token limits or losing important information.

What makes Datagran stand out is its three-tiered approach to memory. It mimics a human brain with short-term memory for immediate context, a compressed mid-term 'Activation Beacon' layer that reduces token usage by about 85%, and a long-term vector storage for infinite history. This system, combined with its one-click OAuth integrations, means your AI can query data efficiently without constant, costly API calls. The platform also includes a powerful AI Interaction Controller (AIC) that acts as an enforcement engine, scoring risks and checking actions against your policies before anything gets executed.

This tool is a perfect fit for enterprise teams and developers who are moving beyond simple chatbots and deploying AI agents for real business tasks. If you're building an AI that manages ad campaigns, handles customer support via a CRM, or needs to make data-driven decisions, Datagran provides the safety rails, persistent memory, and visibility you need. The case studies highlight its use in securing marketing AI for a company and enabling compliant AI agents in government customer support, showing it's built for serious, production-level deployments where control and auditability are non-negotiable.

#ai agents#context management#marketing-apis#mcp server#memory-compression#observability#risk scoring#workflow automation

Key features

What makes it stand out
01
One-click integrations with marketing platforms (Facebook Ads, Google Ads, TikTok Ads, etc.)
02
Three-layer memory system (short-term, mid-term, long-term) for managing AI context
03
Real-time observability and audit trails for all AI decisions and actions
04
Policy enforcement and risk scoring engine (AIC) for safe AI operations
05
Model Context Protocol (MCP) server for connecting to Claude, Cursor, and other AI tools

Who is Datagran for?

Who benefits most from this tool
securing AI agent access to marketing platforms
managing context windows for AI agents handling large datasets
auditing and observing AI decisions in customer support or ad management

Trust & presence

Domain Domain registered 2018

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