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Data Quality Scorecard

Analyze your MLS listing data for field population gaps, non-standard lookup values, stale listings, duplicate addresses, price anomalies, and timestamp issues — then download a full report.

1 Choose Analysis Method

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Drop your listing export here or click to browse

CSV or Excel (.xlsx, .xls) — export from your MLS admin panel or data feed

Map your columns — auto-detected, adjust if needed

RESO Web API Base URL

Client ID

Client Secret

OAuth Token URL

Records to analyze (max 2000 recommended)

🔒 Credentials are XOR-encrypted before transmission, used only to fetch listing data, then permanently discarded. Never stored.

2 Your Info (for the report)

Analyzing…0%

📋 Reading and parsing records

📈 Calculating field population rates

🏷️ Checking lookup value consistency

🔍 Detecting stale listings & duplicates

💰 Scanning for price anomalies

🕐 Validating timestamps & data freshness

📊 Calculating overall quality score

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📈 Field Population Rates — ▼

Percentage of records where each field contains a non-empty value. Below 80% on critical fields is a compliance risk.

Field	Population	Status

🏷️ Lookup Value Consistency — ▼

Checks whether StandardStatus, PropertyType, and other enumerated fields use official RESO lookup values.

🕐 Stale & Long-Running Listings — ▼

🔁 Duplicate Detection — ▼

💰 Price Anomalies — ▼

📅 Timestamp & Data Freshness — ▼