ExisEcho API - Sample Code & Examples

Official sample code and examples for the ExisEcho API - a powerful fuzzy matching and duplicate detection service.

What is ExisEcho?

ExisEcho is a fuzzy logic deduplication system that finds similar but not identical records in your data. Unlike exact-match tools, ExisEcho uses advanced fuzzy matching algorithms to identify records with:

• Typos and misspellings (Smith vs Smyth)
• Abbreviations (Corporation vs Corp)
• Name variations (Bob vs Robert)
• Formatting differences (New York vs NYC)
• Phonetic similarities (words that sound alike)

Website: https://www.fuzzy-logic.com

Getting Started

1. Get Your API Key

Request a FREE test API key by emailing us at: exisllc@gmail.com

Or purchase an API key at: https://www.fuzzy-logic.com/Purchase

2. Choose Your Language

• Python Examples - Full-featured Python client with examples
• JavaScript Examples - Node.js and browser-compatible examples

3. Make Your First API Call

Python:

import requests

response = requests.post(
    "https://www.fuzzy-logic.com/api/match",
    headers={"X-API-Key": "your-api-key"},
    json={
        "records": [
            {"id": "1", "fields": {"name": "John Smith"}},
            {"id": "2", "fields": {"name": "Jon Smyth"}},
            {"id": "3", "fields": {"name": "Jane Doe"}}
        ],
        "threshold": 0.7
    }
)

result = response.json()
print(f"Found {result['summary']['totalMatches']} duplicates!")

JavaScript:

const response = await fetch("https://www.fuzzy-logic.com/api/match", {
    method: "POST",
    headers: {
        "Content-Type": "application/json",
        "X-API-Key": "your-api-key"
    },
    body: JSON.stringify({
        records: [
            { id: "1", fields: { name: "John Smith" } },
            { id: "2", fields: { name: "Jon Smyth" } },
            { id: "3", fields: { name: "Jane Doe" } }
        ],
        threshold: 0.7
    })
});

const result = await response.json();
console.log(`Found ${result.summary.totalMatches} duplicates!`);

API Endpoints

Endpoint	Method	Description
/api/match	POST	Find duplicates within a single dataset
/api/compare	POST	Compare two datasets to find matches between them
/api/health	GET	Health check (no authentication required)

Key Features

• Multiple Matching Algorithms - Levenshtein, Jaro-Winkler, and phonetic matching
• Phonetic Matching - Match names that sound alike (Soundex, Metaphone)
• Synonym Support - Treat equivalent terms as matches (Bob=Robert, Corp=Corporation)
• Weighted Scoring - Assign importance to different columns
• Preprocessing Options - Remove punctuation, honorifics, articles, and more
• Fast Processing - Handle thousands of records efficiently

Column Options

Fine-tune matching behavior per column:

Option	Description
weight	Importance multiplier (0.1 to 10.0)
usePhoneticMatching	Match words that sound alike
equateSynonyms	Treat synonyms as equal
removeHonorifics	Remove Mr., Mrs., Dr., etc.
removePunctuation	Strip special characters
ignoreCase	Case-insensitive matching
ignoreWordOrder	Match regardless of word order

See the full API documentation for all options.

Example Use Cases

Customer Deduplication

Find duplicate customer records in your CRM:

records = [
    {"id": "1", "fields": {"name": "Acme Corporation", "email": "info@acme.com"}},
    {"id": "2", "fields": {"name": "ACME Corp", "email": "info@acme.com"}},
    {"id": "3", "fields": {"name": "Acme Corp.", "email": "contact@acme.com"}}
]

Name Matching

Match names with variations:

column_options = {
    "name": {
        "usePhoneticMatching": True,  # John/Jon
        "equateSynonyms": True,       # Robert/Bob
        "removeHonorifics": True,     # Dr., Mr., Mrs.
        "ignoreWordOrder": True       # "Smith, John" = "John Smith"
    }
}

Address Matching

Match addresses with abbreviations:

column_options = {
    "address": {
        "equateSynonyms": True,       # Street/St, Avenue/Ave
        "removePunctuation": True,
        "ignoreCase": True
    }
}

Pricing

• 10,000 API calls - $25
• 100,000 API calls - $99
• 1,000,000 API calls - $499
• Enterprise - Custom pricing

Each unit = 2 records processed. View pricing details

Support

• Documentation: https://www.fuzzy-logic.com/Api
• Email: exisllc@gmail.com
• Website: https://www.fuzzy-logic.com
• FAQ: https://www.fuzzy-logic.com/Faq

License

This sample code is released under the MIT License.

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ExisEcho is developed by Exis, LLC