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Databento
Databento
Visibility24
Vibe92
Businesses/Financial Technology/Databento
Databento
AI Visibility & Sentiment

Databento

Databento is a financial market data platform that provides real-time and historical market data APIs for equities, futures, and options. They deliver normalized data directly from colocation facilities to over 3,000 leading firms and high-growth startups, offering a simpler, faster way to access market data with usage-based pricing.

Active Monitoring
databento.com
Financial Technology
AI Visibility Score
24/100

Low

Sentiment Score
92/100
Score by Priority

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core
24
adjacent
0
OverviewLandscapeInsights & ActionsContent IdeasConversationsCitationsBrand Voice

Is this your business?

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Databento today.

Databento has established itself as the authoritative leader for high-performance raw packet captures, securing the #1 position in AI Overviews for specialized quantitative research queries. However, the brand is currently failing to translate this technical superiority into broader market dominance, leaving a massive opening for competitors like Polygon.io and IEX Cloud to capture the high-volume fintech and general API reliability segments.

Working in your favor

Absolute dominance in AI Overviews for 'raw packet capture' queries, maintaining the #1 rank.

Exceptionally high visibility with the Quantitative Research Lead persona (Dr. Aris Varma) at a 67% mention rate.

Perfect performance in direct brand sentiment checks, with #1 rankings across ChatGPT, Gemini, and AI Overviews.

Gaps to close

Total invisibility for 'best reviewed' and 'API reliability' queries, where Polygon.io and IEX Cloud currently command the narrative.

Underperformance with the HFT Developer persona (20% mention rate, avg pos 9.0) despite having the technical specifications they require.

Failure to trigger mentions for 'nanosecond timestamp' and 'streaming API' queries, which are core Databento value propositions.

Opportunities

Solidify the 'pay-as-you-go' pricing narrative, which is showing fragmented traction in ChatGPT but remains a significant differentiator if unified across platforms.

Bridge the gap between 'raw data power' and 'developer ease-of-use' to capture the Sarah Jenkins persona where visibility is currently stagnant at 13%.

Leverage existing authority in historical data to capture 'order book' and 'market infrastructure' queries where Gemini currently ranks the brand poorly.

Highest-Impact Actions
1

Execute an aggressive comparison-based content strategy targeting 'best market data API' and 'API reliability' keywords.

Competitors like Polygon.io are winning on volume and reliability sentiment, even where Databento has superior technical performance.

2

Optimize technical documentation and landing pages for 'nanosecond timestamps' and 'streaming equities API' to fix the visibility gap for HFT personas.

Despite being a core product feature, Databento is currently invisible for these specific high-intent technical queries.

3

Improve Gemini-specific visibility by seeding structured data regarding historical order book accessibility.

Gemini currently displays the lowest performance (avg pos 9.5) and mixed sentiment, dragging down the brand's overall fintech authority.

Value Proposition

A simpler, faster way to get market data with direct colocation access, nanosecond-precision timestamps, usage-based pricing, and developer-friendly APIs that work in just 4 lines of code.

Overview

Databento is a financial market data platform that provides real-time and historical market data APIs for equities, futures, and options. They deliver normalized data directly from colocation facilities to over 3,000 leading firms and high-growth startups, offering a simpler, faster way to access market data with usage-based pricing.

Mission

To create a better data experience by making market data simpler, faster, and more accessible with transparent, usage-based pricing.

Products & Services
Real-time streaming market data APIsHistorical tick data and order book dataPacket captures (PCAPs) for raw market dataCorporate actions and security master reference dataDedicated connectivity solutions
Current State

Visibility Landscape

A high-level view of how Databento performs across AI platforms, broken down by strategic priority level — from core brand queries to growth opportunities.

ChatGPTChatGPT
ClaudeClaude
GeminiGemini
AI OverviewsAI Overviews

Reputation1q

Sentiment when asked about the brand directly

100
—
100
100
“What do you know about Databento? What do they do and what's their reputation?”
Positive
—
Positive
Positive

Core5q

Product/service category queries

33
0
17
39
“where can i buy raw packet captures for market data if i don't want to manage the hardware”
No
—
No
#1
“looking for market data providers that have pay-as-you-go pricing instead of high monthly minimums”
#2
—
#2
No
“help me find a market data api for a high frequency trading bot i'm building”
#1
—
#10
No
“what's the best way to get historical order book data for backtesting without spending a fortune”
#6
—
#14
No
“i need a streaming api for equities with nanosecond timestamps, any suggestions?”
No
—
No
No

Growth Areas1q

Adjacent, aspirational & visionary

0
—
0
0
“best reviewed market data apis for fintech developers in 2026”
No
—
No
No
ChatGPT
Claude
Gemini
AI Overviews

“What do you know about Databento? What do they do and what's their reputation?”

ChatGPTPositive
Claude—
GeminiPositive
AI OverviewsPositive

“where can i buy raw packet captures for market data if i don't want to manage the hardware”

ChatGPTNo
Claude—
GeminiNo
AI Overviews#1

“looking for market data providers that have pay-as-you-go pricing instead of high monthly minimums”

ChatGPT#2
Claude—
Gemini#2
AI OverviewsNo

“help me find a market data api for a high frequency trading bot i'm building”

ChatGPT#1
Claude—
Gemini#10
AI OverviewsNo

“what's the best way to get historical order book data for backtesting without spending a fortune”

ChatGPT#6
Claude—
Gemini#14
AI OverviewsNo

“i need a streaming api for equities with nanosecond timestamps, any suggestions?”

ChatGPTNo
Claude—
GeminiNo
AI OverviewsNo

“best reviewed market data apis for fintech developers in 2026”

ChatGPTNo
Claude—
GeminiNo
AI OverviewsNo
Brand Ecosystem
1
Polygon.io
30 mentions
2
IEX Cloud
24 mentions
3
Intrinio
15 mentions
4
Alpha Vantage
alphavantage.co
13 mentions
5
Refinitiv
11 mentions
6
Nasdaq
10 mentions
7
Databento
10 mentions
8
Nasdaq Data Link
9 mentions
9
Alpaca
paper-api.alpaca.markets
9 mentions
10
Quandl
8 mentions
11
Exegy
8 mentions
Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Databento's AI visibility.

Key Findings

Strength

Absolute dominance in AI Overviews for 'raw packet capture' queries, maintaining the #1 rank.

Strength

Exceptionally high visibility with the Quantitative Research Lead persona (Dr. Aris Varma) at a 67% mention rate.

Strength

Perfect performance in direct brand sentiment checks, with #1 rankings across ChatGPT, Gemini, and AI Overviews.

Recommended Actions

1

Execute an aggressive comparison-based content strategy targeting 'best market data API' and 'API reliability' keywords.

Competitors like Polygon.io are winning on volume and reliability sentiment, even where Databento has superior technical performance.

2

Optimize technical documentation and landing pages for 'nanosecond timestamps' and 'streaming equities API' to fix the visibility gap for HFT personas.

Despite being a core product feature, Databento is currently invisible for these specific high-intent technical queries.

3

Improve Gemini-specific visibility by seeding structured data regarding historical order book accessibility.

Gemini currently displays the lowest performance (avg pos 9.5) and mixed sentiment, dragging down the brand's overall fintech authority.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Sourcing High Performance And Raw Data(2 queries)

“where can i buy raw packet captures for market data if i don't want to manage the hardware”

1/3 platforms mentioned

Core
ChatGPTChatGPT
1.Refinitiv Elektron
2.Nasdaq Data Link
3.Quandl
4.Nasdaq
5.Barchart OnDemand

+12 more

GeminiGemini
1.Refinitiv
2.Thomson Reuters
3.Bloomberg
4.Exegy
5.ICE Data Services

+21 more

AI OverviewsAI Overviews
1.Databento PCAPs
2.Databento
3.ProfiShark Network TAPs
4.Profitap

“i need a streaming api for equities with nanosecond timestamps, any suggestions?”

0/3 platforms mentioned

Core
Sarah Jenkins, Lean Fintech Founder · CEO & Founder
ChatGPTChatGPT
1.Polygon.io
2.Alpaca Data API
3.Alpaca
4.IEX Cloud
5.IEX

+4 more

GeminiGemini
1.Polygon.io
2.MarketData.com
3.IEX Cloud
AI OverviewsAI Overviews
1.Alpaca
2.LSE
3.Finnhub
Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

Raw market data with packet capture (PCAP) files

databento.com

Web1 ref

Does anyone here use packet capture to analyze market ...

reddit.com

Forum1 ref

Databento Adds Raw Market Data in PCAP Format to Its ...

hpcwire.com

Web1 ref

Packet Capture for Network Observability, Forensics & ...

cpacket.com

Web1 ref

ProfiShark Network TAPs | Portable Packet Capture Devices

profitap.com

Web1 ref

Bloomberg.com

bloomberg.com

Web1 ref

IPRoyal.com

iproyal.com

Web1 ref

25 Best Stock Market Data Providers based in US - Datarade

datarade.ai

Web1 ref

Bloomberg Voted “Best Market Data Provider” by FX Markets Readers | Press

bloomberg.com

Web1 ref

I tested 6 data providers so you don't waste $34000

youtube.com

Video1 ref

Top 5 Stock Data Providers of 2026: Features, Pricing & More

brightdata.com

Web1 ref

OneTick Wins Best Tick Data Management Platform in the 2022 ...

onetick.com

Web1 ref

Best Financial Data Providers & Companies 2026 - Datarade

datarade.ai

Web1 ref

Best Options Data Providers & Companies 2026 - Datarade

datarade.ai

Web1 ref

Top 8 Stock Market Data Providers in 2026 - IPRoyal.com

iproyal.com

Web1 ref
Brand Identity

Brand Voice & Style

How AI perceives Databento's communication style and personality

Databento communicates with a technically precise yet accessible tone that speaks directly to developers and quantitative professionals. The brand balances deep technical expertise with straightforward, no-nonsense messaging that cuts through industry jargon. They emphasize simplicity and speed in both their product and communication style, using concrete metrics and code examples to demonstrate value rather than making vague claims. The voice is confident and modern, reflecting their position as a disruptor in the traditional market data industry.

Core Tone Traits

Technically Precise

Uses specific metrics, code examples, and technical specifications to communicate value clearly

Developer-First

Speaks the language of engineers with documentation-style clarity and practical examples

Confidently Disruptive

Challenges industry norms with bold claims backed by concrete evidence

Straightforward & Efficient

Gets to the point quickly without unnecessary jargon or sales-speak

Visual Identity

Primary

#9098EF

Secondary

#FFFFFF

Accent

#1A1F36

Background

#FFFFFF

Foreground

#111111

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned February 19, 2026.

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Frequently asked questions

Don't see your question? Book a demo and we'll walk you through it.

Databento is a financial market data platform that provides real-time and historical market data APIs for equities, futures, and options. They deliver normalized data directly from colocation facilities to over 3,000 leading firms and high-growth startups, offering a simpler, faster way to access market data with usage-based pricing.

A simpler, faster way to get market data with direct colocation access, nanosecond-precision timestamps, usage-based pricing, and developer-friendly APIs that work in just 4 lines of code.

AI Visibility Score

Databento has an AI visibility score of 17/100, rated as invisible. 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 established itself as the authoritative leader for high-performance raw packet captures, securing the #1 position in AI Overviews for specialized quantitative research queries. However, the brand is currently failing to translate this technical superiority into broader market dominance, leaving a massive opening for competitors like Polygon.io and IEX Cloud to capture the high-volume fintech and general API reliability segments.

Strengths

  • Absolute dominance in AI Overviews for 'raw packet capture' queries, maintaining the #1 rank.
  • Exceptionally high visibility with the Quantitative Research Lead persona (Dr. Aris Varma) at a 67% mention rate.
  • Perfect performance in direct brand sentiment checks, with #1 rankings across ChatGPT, Gemini, and AI Overviews.

Visibility Gaps

  • Total invisibility for 'best reviewed' and 'API reliability' queries, where Polygon.io and IEX Cloud currently command the narrative.
  • Underperformance with the HFT Developer persona (20% mention rate, avg pos 9.0) despite having the technical specifications they require.
  • Failure to trigger mentions for 'nanosecond timestamp' and 'streaming API' queries, which are core Databento value propositions.

Competitors in AI Recommendations

  • Polygon.io: 30 mentions
  • IEX Cloud: 24 mentions
  • Intrinio: 15 mentions
  • Alpha Vantage: 13 mentions
  • Refinitiv: 11 mentions
  • Nasdaq: 10 mentions
  • Nasdaq Data Link: 9 mentions
  • Alpaca: 9 mentions
  • Quandl: 8 mentions
  • Exegy: 8 mentions
  • Datarade: 8 mentions
  • Finnhub: 8 mentions
  • Equinix: 7 mentions
  • Xignite: 7 mentions
  • Kaiko: 7 mentions

Categories: Financial Technology