Datafold is a proactive data observability platform designed to prevent data outages by stopping data quality problems before they reach production, reducing incidents in production environments by a factor of ten. Its Data Diff capability provides one-click regression testing for ETL, automatically comparing billions of rows so teams can understand the impact of each code change without extensive manual testing.

The platform also offers column-level lineage, building a global dependency graph from SQL files and data warehouse metadata to trace data flows from events through to BI reports, which supports faster incident resolution, prevents breaking changes, and aids infrastructure optimization. A built-in data catalog centralizes metadata, supports interactive full-text search, data profiling, and facilitates discovery of datasets, fields, and distributions through an intuitive interface. Complementing these features, Datafold includes alerting with automated anomaly detection powered by an adjustable machine learning model that accounts for seasonality and trends to generate dynamic thresholds.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

Normalized 0–100 · last 8 weeks

DataForSeo API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count. 

How to get LLM mention data →
// Fetch Datafold mention score
POST /v3/content_analysis/summary
{
  "keyword": "Datafold",
  "type": "llm_mentions",
  "date_from": "2025-01-01"
}