Databento is a market data infrastructure company that provides real-time and historical financial market data through modern APIs. They serve quantitative traders, hedge funds, and financial institutions with normalized data feeds sourced directly from colocation facilities for ultra-low latency.
A simpler, faster way to get market data with direct colocation sourcing, nanosecond-precision timestamps, and developer-friendly APIs that let you build your first application in just 4 lines of code.
AI Visibility Score
Databento has an AI visibility score of 47/100, rated as moderate. This score reflects how often and how prominently Databento appears in responses from AI assistants like ChatGPT, Claude, and Gemini.
AI Perception Summary
Databento has successfully captured the mindshare of technical practitioners, achieving a dominant 86% mention rate among Lead Engineers, yet it remains a ghost in critical institutional procurement conversations. While the brand is a preferred recommendation on Claude and Gemini for technical implementation, its staggering absence from foundational ChatGPT queries and institutional-grade data sourcing results represents a significant missed opportunity to displace legacy incumbents like Bloomberg and Refinitiv.
Strengths
- Exceptional resonance with the 'Scaling Fintech Lead Engineer' persona, achieving an 86% mention rate and a top-tier average position of 3.5.
- High trust and sentiment on Claude (71% mention) and Gemini (64%), particularly regarding historical market data and options/equities reviews.
- Perfect performance in 'brand vibe checks,' indicating that when the brand is known, the AI models have a clear and accurate understanding of its value proposition.
Visibility Gaps
- Critically low visibility among 'Institutional Market Data Managers' (29% mention rate) with a poor average position of 11.9, suggesting a lack of enterprise-focused authority.
- Underperformance on ChatGPT (36% mention rate) compared to competitors like Polygon.io and Refinitiv, which limits exposure to the largest segment of AI users.
- Frequent 'Not Mentioned' status for high-intent queries involving Python trading bot development and low-latency feed requirements.
Competitors in AI Recommendations
- Polygon.io: 64 mentions
- Refinitiv: 56 mentions
- Exegy: 47 mentions
- LSEG: 43 mentions
- Bloomberg: 34 mentions
- ICE Data Services: 34 mentions
- FactSet: 26 mentions
- Alpaca: 25 mentions
- CME DataMine: 25 mentions
- Nasdaq Data Link: 24 mentions
- Pico: 24 mentions
- NYSE: 24 mentions
- CME: 22 mentions
- ICE: 22 mentions
- NASDAQ: 22 mentions
Categories: Financial Technology