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Email Trust Score API

Evaluate email address quality with intelligent scoring from 0-99 for sales prospecting, lead qualification, triggering business processes, determining options for free trials, and anti-fraud protection.

API Overview

This API provides an intelligent email trust score from 0-99 that reflects the likelihood an email belongs to a real person at a real business. The scoring algorithm evaluates domain type, DNS health, mail server reputation, local-part quality, domain reputation, address structure, free email sources, disposable email sources, and business fit to help you qualify leads, prevent fraud, trigger business processes, and optimize your sales and marketing workflows.

Lead Qualification

Automatically score email addresses to identify high-quality prospects versus disposable or low-quality contacts for better targeting.

Business Process Categorization

Determine business process flow based on likely legitimate email addresses, business domains, generic email addresses, name analysis, and other scoring methods to categorize email addresses.

Fraud Prevention

Identify suspicious email patterns, disposable addresses, and low-quality contacts to reduce fraud risk and improve data hygiene.

Premium API

This is a premium API that utilizes advanced email intelligence, DNS validation, domain reputation databases, and multi-factor scoring algorithms to provide accurate email quality assessment.

25 credits per API call

Sample Results

Field Example Value Description
Email billsmith11@gmail.com The email address that was evaluated
Score 65 Trust score from 0-99 (higher is better)
Reasoning Gmail domain provides medium score due to free webmail status... Detailed explanation of the score factors
Code Success Status code of the API request
Credits 591447 Remaining API credits in your account

API Details

Endpoint

https://api.interzoid.com/emailtrustscore

Request Format

https://api.interzoid.com/emailtrustscore?license=[licensekey]&lookup=[email address]

Sample Request

https://api.interzoid.com/emailtrustscore?license=fh5hs7*****&lookup=billsmith11@gmail.com

Sample Response

{ "Email": "billsmith11@gmail.com", "Score": "65", "Reasoning": "Gmail domain provides medium score due to free webmail status, but realistic name pattern 'billsmith' with number suggests legitimate personal use, though lacks business domain verification.", "Code": "Success", "Credits": "591447" }

cURL Example (with API key in header)

curl --header "x-api-key: fh5hs7*****" "https://api.interzoid.com/emailtrustscore?lookup=billsmith11@gmail.com"

Additional Examples

Here are additional real-world examples showing different email quality scores across various scenarios:

Corporate Email - High Quality Score: 96

{ "Email": "maria.garcia@adobe.com", "Score": "96", "Reasoning": "Corporate domain with a real person's name and high-reputation company; excellent prospect email.", "Code": "Success", "Credits": "591442" }

Role-Based Email - Medium Quality Score: 72

{ "Email": "info@landscapesupplyco.net", "Score": "72", "Reasoning": "Business domain with valid DNS but generic role-based inbox; useful but less personalized.", "Code": "Success", "Credits": "591438" }

Free Email - Medium Quality Score: 68

{ "Email": "bobsmith@gmail.com", "Score": "68", "Reasoning": "Free webmail domain with a realistic person name pattern; moderate quality for prospecting but lacks corporate verification and professional domain credibility.", "Code": "Success", "Credits": "591434" }

Disposable Email - Very Low Quality Score: 5

{ "Email": "x9qz772@tempmail.plus", "Score": "5", "Reasoning": "Disposable domain and random local-part; very poor quality for sales use.", "Code": "Success", "Credits": "591430" }

These examples demonstrate the API's intelligent scoring across different email types. Corporate emails with real names score highest (90+), free webmail with realistic names score medium (60-75), role-based addresses score moderate (70-80), and disposable or suspicious patterns score very low (0-10), analysis of the local part of an email address can result in score deduction, as can poor reputation domains and mail servers. Use these scores to prioritize outreach, trigger appropriate business processes, qualify/score leads, and filter out low-quality and potentially fraudulent contacts.

Additional Resources

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