Confidence Levels

How confidence levels help you assess data reliability.

Overview

Confidence levels are available on person contact data (phones, emails, locations, socials). Each data point receives a confidence level that helps you understand data reliability and filter based on your use case.

Company data does not include per-field confidence levels. Company records have a record-level num_sources count instead. See Company Data Overview for details.

Level	Description
High	High quality data with strong verification
Moderate	Moderate quality data with verification
Low	Lower quality data with limited verification

How Levels Are Assigned

We evaluate multiple factors to determine confidence levels. The specific methodology is confidential, but levels reflect our assessment of data reliability.

Using Confidence Levels

Filtering Strategies

High-Stakes Operations (Sales outreach, compliance):

Filter for confidence: high
Ensures maximum accuracy for critical use cases

Full Coverage (Research, analytics):

Include moderate confidence data
Balances coverage with quality

Exploratory Analysis:

All confidence levels may be useful
Use levels to weight results, not filter

Example: Phone Quality

{
  "type": "mobile",
  "number": "+15551234567",
  "current": true,
  "last_seen": "2026-01-15",
  "num_sources": 3,
  "confidence": "high"
}

This phone has:

High confidence level
Marked as current (recommended contact method)

This is the most reliable data you can get.

Example: Email Quality

{
  "address": "jane.doe@company.com",
  "type": "professional",
  "current": true,
  "last_seen": "2026-01-20",
  "validated": true,
  "validation_status": "valid",
  "num_sources": 2,
  "confidence": "high",
  "hash_sha256": "a1b2c3d4e5f6...",
  "hash_sha1": "a1b2c3d4e5f6...",
  "hash_md5": "a1b2c3d4e5f6..."
}

This email has:

Validated (deliverability confirmed)
Marked as current (recommended contact method)
High confidence level

Common Questions

What does "confidence: high" actually mean?

It means we’ve assessed this data point as high quality based on multiple signals. It’s a measure of our confidence in the data, not a guarantee of accuracy.

Why do some data points have moderate confidence even when they seem reliable?

We evaluate multiple factors to determine confidence levels. Some data points may receive a moderate level based on various quality indicators.

How accurate are the levels?

Our methodology is continuously refined based on data quality metrics. Levels reflect our best assessment of data reliability.

Data Freshness - Understanding data recency

Getting Started

Person Data

Company Data

Data Quality

Data Standardization

SDKs

Integrations

Confidence Levels

Overview