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Integrate Loqate into AI agents, LLM tool loops, and automated workflows. Loqate for Agents provides developer tools purpose-built for agentic systems. Verify contact data in real time with deterministic scoring, policy-driven decisioning, and structured output that agents can act on without human intervention.

Overview

What is Reach and how it fits into agentic workflows

Quick Start

Install the CLI and run your first verification in under 2 minutes

CLI Reference

Install and use the lqt command-line tool

MCP Server

Connect Loqate to Claude, Cursor, VS Code, and other MCP clients

Policies

Built-in and custom policy frameworks for decisioning

Configuration

Authentication, environment variables, and key resolution

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Why Loqate for Agents?

Traditional verification APIs return raw data that requires human interpretation. Loqate for Agents wraps verification in a decisioning layer — every response includes a confidence score (0–1), a policy-aware recommendation (accept, review, or reject), and a match-level assessment. This means your agent can make decisions autonomously based on structured, deterministic output.
  • Deterministic scoring — same input, same score, every time, across CLI, MCP, and API
  • Policy-driven decisions — four built-in policies (strict, shipping, standard, permissive) plus custom policy support
  • Agent-native interfaces — CLI for tool loops, MCP for direct agent integration, JSON output for pipelines
  • 245+ countries and territories supported
  • No new contract required — uses your existing Loqate API key
Visit agents.gbg.com/reach for product information, demos, and the latest updates on Reach.