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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/GREP AI
GREP AI

GREP AI

Founded 2023

Build and deploy custom agents to automate repetitive research and knowledge work

Pricing model

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use GREP AI to build, test, and run automated agents that handle repetitive research and data tasks. The system turns repeated steps into reusable workflows, letting you route individual operations to different language models to control costs. You can connect agents via Model Context Protocol (MCP), trigger them through a REST API or SDK, and run them on demand or in batches. It also lets you set per-run budget caps, verify citations against primary sources, and convert common coding or compliance procedures into scheduled background workflows.

What GREP AI does

Deploy custom agents via Model Context ProtocolSet maximum spend caps for individual agent executionsRoute specific prompt steps to appropriate language modelsVerify agent output against primary data sourcesExecute scheduled batch runs across large datasetsTrigger agent tasks programmatically via REST APIValidate agent configurations before billable executionRoutes individual workflow steps to different AI models to manage token spendingConnects directly to coding environments via Model Context Protocol (MCP)Enforces per-run cost caps to prevent unexpected API expensesVerifies claims and outputs against primary sources and official registriesConverts manual procedures into reusable automated workflowsSupports execution through REST APIs, client SDKs, or batch schedules

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

Node.jsNode.jsGithubGithub

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GREP AI, AI agents, agentic workflows, model routing, deep research, due diligence, MCP server, compliance automation, background tasks, knowledge work automation, KYC screening, automated research, LLM orchestration