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Documentation Index

Fetch the complete documentation index at: https://docs.loqate.com/llms.txt

Use this file to discover all available pages before exploring further.

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What is Reach?

Reach is GBG’s agent-native identity and address verification product. It verifies addresses, emails, and phone numbers in real time — returning a confidence score, a policy-aware recommendation, and a full audit trail in one command. Reach is delivered as a single binary (lqt) that serves three interfaces from one verification engine:
InterfaceBest forHow it works
CLITool loops, scripts, CI/CDSingle Go binary. Pipes JSON into agent frameworks.
MCP ServerClaude, Cursor, VS Code, agent frameworksStdio mode for local agents, HTTP mode for hosted deployments.
Claude Agent SkillClaude usersPlain language interface installed via npx skills add.
All three interfaces share the same scoring engine — same input produces the same confidence score and recommendation regardless of which interface you use.

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How it works

Every verification request follows the same flow:
1

Submit contact data

Send an address, email, phone number — or any combination — via the CLI, MCP tool, or skill.
2

Verification

Reach calls the Loqate APIs to verify each field and compute a confidence score between 0 and 1.
3

Policy evaluation

The confidence score is evaluated against the active policy’s thresholds to produce a recommendation: accept, review, or reject.
4

Structured response

A JSON response is returned with per-field scores, an overall recommendation, match-level data, and an audit trail your agent can act on.

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Verification capabilities

Address Verification

Confidence scoring, AVC match level, verification status, premise-level matching across 245+ countries.

Email Validation

Disposable domain detection, fraud risk flags, deliverability assessment, catch-all detection.

Phone Validation

Number type detection (mobile/landline), carrier identification, E.164 normalization.

Combined Verification

Verify address, email, and phone in a single request with a unified confidence score and recommendation.

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Example output

A single verify call returns structured JSON that agents can parse and act on: 
{
  "address": {
    "confidence": 0.95,
    "recommendation": "accept",
    "avc": "V44-I44-P7-100",
    "verification_status": "V",
    "match_level": "premise"
  },
  "email": {
    "confidence": 0.15,
    "recommendation": "reject",
    "response_code": "Valid",
    "risk": "high",
    "flags": ["disposable_domain"]
  },
  "phone": {
    "confidence": 0.93,
    "recommendation": "accept",
    "verified": true,
    "number_type": "mobile"
  },
  "overall": {
    "recommendation": "reject",
    "confidence": 0.15
  },
  "policy": "strict"
}
The overall.recommendation is the lowest-confidence field’s recommendation — if any field fails the policy threshold, the overall recommendation reflects that. This is an illustrative example. See the lqt documentation for full schema and response details.

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What you need

  • A Loqate API key — sign up or use an existing key
  • The lqt binary — installation guide
  • Optionally, an Anthropic API key for the parse command (address parsing via Claude Haiku)
The CLI and MCP server are free. Verification calls consume credits from your Loqate account.