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RGI Agent Builder

Build custom AI agents powered by the world’s best GTM intelligence. Give your developers and AI builders the infrastructure to construct purpose-built agents that run on HG’s Revenue Growth Intelligence Fabric, without duct-taping data sources or rebuilding pipelines from scratch.

Build your agentic GTM on the world's most precise GTM intelligence

RGI Agent Builder is a complete set of MCP tools and developer infrastructure that lets technical builders connect directly to HG’s RGI Fabric and create custom agents for any GTM workflow. Access firmographics, technographics, IT spend, contracts, competitive signals, intent data, SEC filing intelligence, and live web sources, unifying proprietary B2B data with external public information and wiring it directly into any AI tool or model in your stack.

MCP Server Access

Connect Claude, ChatGPT, Cursor, Windsurf, Dust, and any MCP-compatible client directly to HG Fabric data. No bespoke integrations, no ETL pipelines.

Deep Fabric Intelligence

Agents access firmographics, technographics, IT spend models, contract data, competitive signals, and intent, all unified by HG Company ID.

AI Credits

Usage-based consumption covering both LLM inference and database lookups in a single model. Access data types regardless of your Fabric subscription.

Enterprise Security

Every MCP request is authenticated, logged, and monitored at enterprise scale. Built on the data infrastructure 95% of Fortune 1000 B2B tech companies rely on.

Built for technical GTM builders

AI/ML Engineers and Developers

Teams building internal GTM agents who need governed, high-quality B2B data as agent context without managing data pipelines from scratch.

Enterprise RevOps Leaders

Organizations running complex GTM infrastructure who want to orchestrate agentic workflows using trusted HG Fabric data as the intelligence backbone.

Strategic GTM Architects

Teams designing AI-first GTM operations who need to connect HG’s signals to any AI tool, model, or workflow engine in their stack.

Why most GTM agents underdeliver

Agents built on generic data produce generic outputs

Raw LLMs can write emails, but they can’t tell you what technologies your prospect is running, how much they’re spending on competing products, or where a competitor is most vulnerable in your target account list.

Building data access is an engineering tax

Without purpose-built infrastructure, connecting AI agents to B2B intelligence means writing ETLs, managing auth, syncing data warehouses, and maintaining brittle integrations across multiple vendors.

Fragmented signals mean fragmented agents

Intent, technographics, spend, firmographics, and contract data all live in different places. Agents built on siloed data miss the context needed to take precise action.

Everything your agents need to work

MCP Server Access

Connect Claude, ChatGPT, Cursor, Windsurf, Dust, and any MCP-compatible client directly to HG Fabric data. No bespoke integrations, no ETL pipelines, no auth overhead.

Rich Fabric Data for Agent Context

Agents access firmographics, technographics, IT spend models, contract data, competitive signals, TrustRadius intent, and product reviews — all unified by HG Company ID. 

AI Credits: Usage-Based Consumption

AI Credits cover both LLM inference and database lookups in a single consumption model. Access the data types your agents need regardless of your Fabric subscription.

Enterprise-Grade Security

Every request is authenticated, logged, and monitored. Enterprise-level scale with data quality that 95% of Fortune 1000 B2B tech companies rely on.

Open, MCP-Aligned Architecture

Built on the Model Context Protocol standard, compatible with tools your teams use today and future-proofed for emerging enterprise AI platforms.

First-Party Data Integration

Connect your own data sources at the MCP level. HG handles the integration — your agents get first-party and HG signals in the same call.

From MCP key to working agent in four steps

No ETL pipelines. No auth overhead. No data reconciliation. Just configure and go.

Get your MCP key

Request early access and receive an MCP key scoped to your instance. You control which data types your agents can access.

Connect your AI tools

Point Claude, ChatGPT, Cursor, or your own custom agents at the HG Insights MCP server. No engineering lift — configure and go.

Define your agent's mission

Combine MCP tools with a prompt to give your agent a specific task — account research, competitive monitoring, territory analysis, outreach personalization.

Agents do the work

Your agent calls HG Fabric data in real time, assembles intelligence from multiple signals, and returns outputs your team can act on.

What you can build today

Three real-world use cases showing how agents, MCP tools, and the RGI Fabric connect in practice. Explore the full flow below.

Account Research Brief

The foundational flow. Claude acts as master agent and routes to the Research Brief Agent, which queries the RGI Fabric via MCP tools and returns a compiled account profile ready for sales or CS review.

  1. Request is sent to Claude: The sales rep prompts Claude with a simple natural-language request. Claude receives it and acts as the master agent.
  2. Claude interprets the request and routes: Claude determines how to handle the request — routing to the Research Brief Agent, pinging MCP tools directly, or both.
  3. Request is routed to the Research Brief Agent: Built-in research specialist. Orchestrates multiple MCP tool calls to compile a structured account profile unified by HG Company ID.
  4. Data is fetched via the MCP Tools layer: Model Context Protocol server exposing HG Fabric data. No ETL, no auth overhead, no data reconciliation.
  5. Signals are pulled from RGI Fabric + External Sources: All signals unified by HG Company ID. Returns the full account intelligence picture including SEC filings and web data.
  6. Account Research Brief is returned: Brief compiled and returned to Claude for final review. Delivered ready for sales, CS, or executive use.

Outreach Email Generation 

Claude routes to the Email Generation Agent — a specialist that researches both sides of the relationship before drafting. Fabric and web queries run in parallel to produce a precisely relevant, personalized message.

  1. Request is sent to Claude: A sales rep asks Claude to write a personalized outreach email to a specific executive at a target account.
  2. Claude routes to the Email Generation Agent: Claude recognizes this as an email generation task and routes to the specialist rather than attempting to write without account context.
  3. Email Generation Agent researches before drafting: Researches HG’s value proposition, the target account’s technology and spend profile, and the contact’s background before drafting.
  4. Fabric and web data are fetched in parallel: Two types of MCP calls run simultaneously — HG Fabric queries for account intelligence, and web search for the contact’s profile and recent activity.
  5. Signals are pulled from RGI Fabric + External Sources: Returns the target account’s full technology stack and spend capacity alongside the contact’s public background and recent activity.
  6. Personalized Outreach Email is delivered: The Email Generation Agent drafts the email with account and contact intelligence baked in. Claude formats and delivers.

CFO Critique and Brief Enhancement

The master agent runs two specialists in sequence. The Research Brief Agent builds the initial profile; the CFO Critique Agent stress-tests it from the buyer’s CFO perspective. Both outputs are merged into one richer brief.

  1. Request is sent to Claude: The user asks for a comprehensive, CFO-ready account brief. The master agent determines this warrants a two-specialist approach.
  2. Claude plans a two-agent sequence: Claude plans the chain — the Research Brief Agent runs first to build the base profile, then the CFO Critique Agent runs second, taking the initial brief as its input.
  3. Phase 1 — Research Brief Agent runs: Queries the RGI Fabric via MCP tools. Pulls firmographics, technographics, IT spend, competitive signals, and intent data. Produces a structured initial brief.
  4. Data is fetched via a full Fabric query: Comprehensive Fabric query executed. SEC filings are also retrieved to provide Phase 2 with financial context.
  5. Signals are returned from RGI Fabric + External Sources: Comprehensive account intelligence is returned. The Research Brief Agent compiles this into a structured initial brief — the direct input to Phase 2.
  6. Phase 2 — CFO Critique Agent runs: Takes the Phase 1 brief as input. Reviews it through the lens of the target company’s CFO — surfacing financial objections and identifying what would resonate with a finance-first buyer.
  7. Claude merges both outputs: Receives the initial brief from the Research Agent and the financial critique from the CFO Agent. Merges them — sharpening the narrative and addressing objections.
  8. CFO-Ready Account Brief is delivered: A richer, more defensible brief — built on Fabric intelligence and stress-tested against a finance-first buyer perspective.

Data available via RGI Agent Builder

Firmographics

IT Spend Data (AI, Enterprise, SMB, Cloud)

Contextual Intent (TrustRadius)

SEC Data

HG Contacts

First-Party Data Integration

Technographics (installs, intensity, location)

Contract Intelligence

TrustRadius Reviews

Internet Access via MCP Tools

Time Series Data

Complete Unified Fabric Access

Our AI-Powered Revenue Growth Intelligence Solutions

Built on the same Fabric that powers the RGI Platform

RGI Agent Builder runs on the same HG Revenue Growth Intelligence Fabric that powers Market Analyzer, Sales Copilot, and Data Studio. Your custom agents draw on the same data that the world’s leading B2B technology organizations rely on. Your agents aren’t starting from scratch — they’re starting from the best GTM data in the industry.

28B

data
points

20M

company
profiles

22K+

tech
detections

Ready to Build?

RGI Agent Builder is currently available in limited beta.