Databento

Visibility22

Vibe92

Businesses/Financial Technology/Databento

Claim Business Generate Strategy

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

22/100

Low

Sentiment Score

92/100

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.

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

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

Agent Breakdown

AI Platforms

How often do different AI platforms reference Databento?

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Conversation Analysis

Topics

What conversations is Databento included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Databento to, and when?

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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.

ChatGPT

Claude

Gemini

AI 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

ChatGPT

1.Refinitiv Elektron

2.Nasdaq Data Link

3.Quandl

4.Nasdaq

5.Barchart OnDemand

+12 more

Gemini

1.Refinitiv

2.Thomson Reuters

3.Bloomberg

4.Exegy

5.ICE Data Services

+21 more

AI 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

ChatGPT

1.Polygon.io

2.Alpaca Data API

3.Alpaca

4.IEX Cloud

5.IEX

+4 more

Gemini

1.Polygon.io

2.MarketData.com

3.IEX Cloud

AI Overviews

1.Alpaca

2.LSE

3.Finnhub

Cost Optimization For Financial Data(1 query)

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

0/3 platforms mentioned

ChatGPT

1.IEX Cloud

2.Polygon.io

3.Intrinio

4.Xignite

5.Nasdaq Data Link

+9 more

Gemini

1.Polygon.io

2.Alpaca

3.Intrinio

4.Financial Modeling Prep (FMP)

5.NYSE

+2 more

AI Overviews

1.Bloomberg Terminal

2.FactSet

3.Polygon.io

4.Alpha Vantage

5.Cbonds

+12 more

Evaluating Market Data Provider Reliability(1 query)

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

0/3 platforms mentioned

ChatGPT

1.IEX Cloud

2.Polygon.io

3.Finnhub

4.Intrinio

5.Twelve Data

+29 more

Gemini

1.Polygon.io

2.Alpha Vantage

3.IEX Cloud

4.Twelve Data

5.Finnhub

+4 more

AI Overviews

1.Marketstack

2.Financial Modeling Prep API (FMP)

3.FMP

4.FMP

5.EODHD

+1 more

Building And Scaling Trading Infrastructure(2 queries)

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

0/3 platforms mentioned

ChatGPT

1.Equinix

2.NY4

3.NY5

4.CME

5.Nasdaq TotalView-ITCH

+26 more

Gemini

1.QuantHouse

2.Refinitiv

3.Thomson Reuters

4.Elektron

5.Activ Financial

+4 more

AI Overviews

1.Insightease

2.Alpha Vantage

3.CoinMarketCap

4.Mobula

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

1/3 platforms mentioned

ChatGPT

1.Lobster data

2.IEX Cloud

3.Polygon.io

4.Intrinio

5.Nasdaq

+4 more

Gemini

1.Equinix NY4

2.Nasdaq

3.NYSE

4.Cboe

5.CME Group

14.DBN

+8 more

AI Overviews

1.Pine Script

2.TradingView

3.Python

4.Pine Editor

5.YouTube

+9 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

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.

Gap

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

Gap

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

Gap

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

Opportunity

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

Opportunity

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%.

Opportunity

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

Technical Health

Site Health for AI Visibility

How well Databento's website is optimized for AI agent discovery and comprehension.

97/100

20 passed 2 warnings

Audited 2/19/2026

Crawlability96

Can AI bots find your pages?

Technical100

SSL, mobile, doctype basics

On-Page SEO100

Titles, descriptions, headings

Content Quality100

Word count, depth, freshness

Schema Markup100

Structured data for AI comprehension

Social & OG100

Open Graph, Twitter cards

AI Readability100

How well AI can parse your content

Warnings

Page size is moderately large

Consider optimizing if page feels slow.

6 image(s) missing alt text

Add descriptive alt text to all images. Consider converting to WebP format.

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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

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of Databento

Polygon.io30 mentions

IEX Cloud24 mentions

Intrinio15 mentions

Databento14 mentions

Alpha Vantage13 mentions

Refinitiv11 mentions

Nasdaq10 mentions

Nasdaq Data Link9 mentions

Alpaca9 mentions

Quandl8 mentions

Exegy8 mentions

Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

Raw market data with packet capture (PCAP) files

https://databento.com/pcaps

Referenced in 1 query

Review

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

https://www.reddit.com/r/algotrading/comments/584ynm/does_anyone_here_use_packet_capture_to_analyze/

Referenced in 1 query

Join Discussion

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

https://www.hpcwire.com/bigdatawire/this-just-in/databento-adds-raw-market-data-in-pcap-format-to-its-offering/

Referenced in 1 query

Review

Packet Capture for Network Observability, Forensics & ...

https://www.cpacket.com/packet-capture

Referenced in 1 query

Review

ProfiShark Network TAPs | Portable Packet Capture Devices

https://www.profitap.com/profishark-network-taps/

Referenced in 1 query

Review

Bloomberg.com

Referenced in 1 query

Pitch Story

IPRoyal.com

Referenced in 1 query

Review

25 Best Stock Market Data Providers based in US - Datarade

https://datarade.ai/company/blog/best-stock-market-data-providers-us

Referenced in 1 query

Review

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

https://www.bloomberg.com/company/press/bloomberg-voted-best-market-data-provider-by-fx-markets-readers/#:~:text=According%20to%20FX%20Markets%20magazine%2C%20Bloomberg%20has,best%20FX%20trading%20solutions%20to%20their%20clients.

Referenced in 1 query

Pitch Story

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

https://www.youtube.com/watch?t=419&v=rmpgf22_f4g

Referenced in 1 query

Pitch Story

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

https://brightdata.com/blog/web-data/best-stock-data-providers

Referenced in 1 query

Review

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

https://www.onetick.com/onetick-wins-best-tick-data-management-platform-in-the-2022-tradingtech-insight-awards-europe#:~:text=Share:-,OneTick%20Wins%20Best%20Tick%20Data%20Management%20Platform,2022%20TradingTech%20Insight%20Awards%20Europe&text=New%20York%2C%20NY%20%E2%80%93%20Feb%2028,2022%20TradingTech%20Insights%20Awards%20%2D%20Europe.

Referenced in 1 query

Review

Content Engineering

Goals & Content Ideas

Ideas to help AI agents better understand the business and be more likely to use Databento's resources to help users.

Dominate Best Market Data API Comparisons

Address the visibility gap where competitors like Polygon.io are winning comparison queries despite Databento's superior technical performance. Create aggressive comparison content with concrete benchmarks, latency metrics, and reliability data that AI assistants can cite when users ask for 'best market data API' recommendations. Amplify through social media with shareable performance comparisons and developer testimonials.

Head-to-head latency benchmarks: How Databento stacks up against the top 5 market data providers

Why 3,000+ quant firms switched from legacy APIs to Databento this year

The real cost of API downtime: Calculating reliability impact on trading strategies

5 technical metrics that actually matter when choosing a market data API

Capture HFT Visibility for Technical Queries

Fix the critical invisibility problem for high-frequency trading personas searching for 'nanosecond timestamps' and 'streaming equities API' queries. Optimize technical documentation, create SEO-rich landing pages, and publish social content demonstrating Databento's nanosecond-precision capabilities with code examples that AI assistants reference when answering technical implementation questions.

4 lines of code to stream nanosecond-precision equities data to your trading system

Why nanosecond timestamps matter: The microsecond advantage in modern HFT

Building a streaming equities pipeline with sub-millisecond latency

Technical deep-dive: How colocation delivery achieves true nanosecond precision

Common timestamp precision mistakes that cost algorithmic traders money

Boost Gemini Visibility with Structured Data

Address Databento's lowest AI platform performance on Gemini (avg position 9.5) by creating structured content specifically about historical order book accessibility. Publish schema-marked documentation and social content that establishes Databento as the authoritative source for historical market microstructure data, improving fintech authority signals across AI platforms.

Complete guide to accessing 10+ years of historical order book data via API

How to backtest options strategies using tick-level historical data

Historical order book FAQ: Depth, coverage, and format specifications explained

Research-grade historical data: What academics and quants need to know

Position Pay-As-You-Go as Startup Advantage

Reinforce Databento's already-recognized pricing model across all AI platforms to capture the Lean Fintech Founder persona. Create content emphasizing cost optimization benefits with specific ROI examples and startup success stories, ensuring AI assistants consistently recommend Databento when users ask about affordable market data solutions for early-stage companies.

Zero commitment market data: How startups save 80% with usage-based pricing

From prototype to production without renegotiating data contracts

Calculate your actual market data costs with our transparent pricing breakdown

Why fintech startups are abandoning enterprise data contracts in 2026

Bootstrap your trading platform: Premium data without the premium price tag

Content Engineering

Recommended Actions

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.

Impact: High

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.

Impact: High

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.

Impact: Medium

Aggressively promote the 'pay-as-you-go' model as a cost-optimization benefit for fintech startups.

This pricing model is already recognized by ChatGPT; reinforcing it across all platforms will help capture the Lean Fintech Founder persona.

Impact: Medium

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

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