Pendium
Pricing
Get a demo
Dashboard
Dashboard
Loading…
/

Teach AI agents to recommend your brand to the right people.

Scan your visibilityBook a demo
Pendium
𝕏

Product

AI Visibility ScanYelp Listing AuditSite AuditContent for AI AgentsAgent Experience EngineAgent AnalyticsPricing

Industries

Local BusinessesRestaurantsHome ServicesBeauty & SpasHealth & MedicalFitness & GymsPet ServicesContractorsBars & NightlifeMoving CompaniesAuto DealershipsSaaS CompaniesSEO TeamsMarketing Teams

Tools

AI Visibility Site ScanYelp Listing AuditGBP AuditSocial Presence AuditBlog That Writes Itself

Real Life Examples

RipplingMasterclassThorneMonday.comPatagonia

Company

AboutBook a DemoDocsPrivacy PolicyTerms of Service
© 2026 Manifest Labs. All rights reserved.
PrivacyTerms
    Stocktwits API
    Stocktwits API
    Visibility26
    Vibe57
    Businesses/Financial Technology (FinTech)/Stocktwits API
    Stocktwits API
    AI Visibility & Sentiment

    Stocktwits API

    Stocktwits API is a specialized financial technology service that acts as a bridge between the Stocktwits social platform and the developer community. It leverages artificial intelligence and natural language processing to convert raw retail investor conversations into actionable sentiment metrics for trading and financial analysis.

    Active Monitoring
    stocktwitsapi.com
    Financial Technology (FinTech)
    AI Visibility Score
    26/100

    Low

    Sentiment Score
    57/100
    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
    26
    adjacent
    12
    aspirational
    0
    visionary
    0
    OverviewLandscapeInsights & ActionsContent IdeasConversationsCitationsBrand Voice

    Is this your business?

    AI Perception

    Key Takeaways

    How AI platforms collectively perceive and describe Stocktwits API today.

    Stocktwits API currently experiences near-total invisibility in AI-driven search environments, despite maintaining strong foundational authority when directly queried. The brand is effectively absent from the critical decision-making workflows of developers and portfolio managers, allowing competitors like AlphaSense and Dataminr to capture the narrative in high-intent financial data categories.

    Working in your favor

    High brand recognition in direct 'vibe check' queries where the brand is explicitly named.

    Top-tier performance in AI Overviews when the query explicitly demands specific API capabilities.

    Strong relevance for institutional portfolio managers searching for sentiment infrastructure.

    Gaps to close

    Failure to trigger in category-defining queries such as 'best sentiment data providers' or 'alternative financial datasets'.

    Minimal presence across major LLM-native search platforms like ChatGPT and Gemini, regardless of query intent.

    Lack of association with the 'Quantitative Developer' persona in non-branded search scenarios.

    Opportunities

    Dominate the 'retail sentiment' niche by aligning technical documentation with AI-friendly terminology for search engines.

    Develop content bridges that explicitly link the Stocktwits API to broader 'alternative financial data' taxonomy.

    Capture the developer segment by creating 'how-to' guides for trading strategies that leverage social sentiment.

    Highest-Impact Actions
    1

    Execute a semantic SEO overhaul of technical documentation to include high-intent keywords like 'retail sentiment data provider' and 'alternative financial dataset'.

    The brand is currently excluded from category-level queries; this will force AI models to recognize Stocktwits as a primary answer in core functional searches.

    2

    Publish a series of 'AI-Ready' developer use cases targeting quantitative trading and sentiment-driven alpha generation.

    The current lack of visibility with the Quantitative Developer persona is a massive bottleneck; concrete use cases will provide the structured data AI models need to associate the API with technical trading.

    3

    Engage in targeted content partnerships or thought leadership pieces that contrast Stocktwits' retail-specific sentiment against general alternative data firms.

    Competitors like AlphaSense and RavenPack are winning because they are consistently associated with broad market analysis; Stocktwits must carve out a distinct authority in the retail-specific vertical to differentiate.

    Value Proposition

    The company provides high-scale, on-demand access to social data through an AI-powered sentiment engine, allowing developers to integrate complex social metrics into their models without needing to build custom NLP infrastructure.

    Overview

    Stocktwits API is a specialized financial technology service that acts as a bridge between the Stocktwits social platform and the developer community. It leverages artificial intelligence and natural language processing to convert raw retail investor conversations into actionable sentiment metrics for trading and financial analysis.

    Mission

    To unlock the power of social sentiment by providing the most accessible and intelligent data tools for the next generation of traders.

    Products & Services
    Real-Time Sentiment APIHistorical Data AccessOn-Demand ScrapingAI Sentiment Analysis EndpointPrice Correlation DashboardRESTful API for social sentimentOn-demand scraping serviceAI-powered sentiment analysisAutomated scraping scheduler
    Current State

    Visibility Landscape

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

    ChatGPTChatGPT
    ClaudeClaude
    GeminiGemini
    AI OverviewsAI Overviews

    Reputation1q

    Brand recognition & direct queries

    70
    97
    0
    97

    Core5q

    Product/service category queries

    14
    0
    0
    38

    Growth Areas4q

    Adjacent, aspirational & visionary

    0
    27
    0
    0
    ChatGPT
    Claude
    Gemini
    AI Overviews
    Competitive Landscape
    1AlphaSense29 mentions
    2Dataminr26 mentions
    3RavenPack23 mentions
    4SentimenTrader18 mentions
    5Alpha Vantage16 mentions
    6Thinknum15 mentions
    7FactSet14 mentions
    8Alpaca14 mentions
    9Sentifi13 mentions
    10Bloomberg Terminal11 mentions
    11Stocktwits API3 mentions
    Analysis

    Insights & Recommended Actions

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

    Key Findings

    Strength

    High brand recognition in direct 'vibe check' queries where the brand is explicitly named.

    Strength

    Top-tier performance in AI Overviews when the query explicitly demands specific API capabilities.

    Strength

    Strong relevance for institutional portfolio managers searching for sentiment infrastructure.

    Recommended Actions

    1

    Execute a semantic SEO overhaul of technical documentation to include high-intent keywords like 'retail sentiment data provider' and 'alternative financial dataset'.

    The brand is currently excluded from category-level queries; this will force AI models to recognize Stocktwits as a primary answer in core functional searches.

    2

    Publish a series of 'AI-Ready' developer use cases targeting quantitative trading and sentiment-driven alpha generation.

    The current lack of visibility with the Quantitative Developer persona is a massive bottleneck; concrete use cases will provide the structured data AI models need to associate the API with technical trading.

    3

    Engage in targeted content partnerships or thought leadership pieces that contrast Stocktwits' retail-specific sentiment against general alternative data firms.

    Competitors like AlphaSense and RavenPack are winning because they are consistently associated with broad market analysis; Stocktwits must carve out a distinct authority in the retail-specific vertical to differentiate.

    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
    Integrating Real Time Retail Sentiment Data(3 queries)

    “what are the best sentiment data providers for tracking retail investor buzz on stocks”

    0/4 platforms mentioned

    Core
    ChatGPTChatGPT
    1.StockTwits
    2.iSENTIUM
    3.Context Analytics
    4.SentiSense
    5.StockGeist

    +2 more

    ClaudeClaude
    1.SentimenTrader
    2.AAII Investor Sentiment Survey
    3.Barron's
    4.Bloomberg
    5.Fear and Greed Index

    +3 more

    GeminiGemini
    1.StockTwits
    2.AltIndex
    3.Datago Technology Limited
    4.InfoTrie
    5.Sentifi

    +12 more

    AI OverviewsAI Overviews
    1.StockTwits
    2.Context Analytics
    3.Sentifi
    4.StockGeist.ai
    5.Nasdaq Data Link (RTSEN)

    +7 more

    “api tools that let me pull retail trader sentiment and mention counts for specific tickers”

    0/4 platforms mentioned

    Core
    The Quantitative Developer · Lead Quantitative Engineer
    ChatGPTChatGPT
    1.Stocktwits
    2.NBShare
    3.Tradestie
    4.SentimentRadar
    5.Thinknum

    +1 more

    ClaudeClaude
    1.EODHD Financial News Sentiment API
    2.StockGeist Stock Sentiment API
    3.SentimenTrader Indicator API
    GeminiGemini
    1.StockGeist.ai
    2.Financial Modeling Prep (Historical Social Sentiment API)
    3.Nasdaq Data Link (US Equity Retail Sentiment Indicator)
    4.SentimenTrader (Indicator Data API)
    5.Ziwox API

    +8 more

    AI OverviewsAI Overviews
    1.StockTwits
    2.ApeWisdom API
    3.StockGeist API

    “compare social market analytics vs alternative data providers for day trading strategy”

    0/4 platforms mentioned

    Core
    The Quantitative Developer · Lead Quantitative Engineer
    ChatGPTChatGPT
    1.Social Market Analytics
    2.GDELT
    3.Google Trends
    ClaudeClaude
    1.Dataminr
    2.SentimenTrader
    3.Bright Data
    4.AltIndex
    GeminiGemini
    1.RavenPack
    2.AlphaSense
    3.Dataminr
    4.Lexalytics
    5.Bloomberg

    +3 more

    AI OverviewsAI Overviews
    1.Social Market Analytics (S-Factors, S-Delta)
    2.StockTwits
    3.Interactive Brokers
    4.Dataminr
    5.RavenPack

    +2 more

    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.

    Sentiment

    help.stocktwits.com

    Web1 ref

    About Us

    isentium.webflow.com

    Web1 ref

    Measuring Investor Attention And Sentiment On Stocktwits

    contextanalytics-ai.com

    Web1 ref

    Index

    sentisense.ai

    Web1 ref

    Investor Sentiment

    stockgeist.ai

    Web1 ref

    Api

    sentistocks.com

    Web1 ref

    getsenti.ai

    getsenti.ai

    Web1 ref

    Stock Trading Api

    etnasoft.com

    Web1 ref

    SentimenTrader: Backtesting, Indicators & Trading Strategies | SentimenTrader

    sentimentrader.com

    Web1 ref

    Sentiment Survey Past Results | AAII

    aaii.com

    Web1 ref

    Market Sentiment Data: Best Market Sentiment Databases & Feeds | Datarade

    datarade.ai

    Web1 ref

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

    brightdata.com

    Web1 ref

    Top 8 Stock Market Data Providers in 2026

    iproyal.com

    Web1 ref

    AAII Investor Sentiment Survey | AAII

    aaii.com

    Web1 ref

    Best Retail Investor Sentiment Datasets & Databases 2026 | Datarade

    datarade.ai

    Web1 ref
    Brand Identity

    Brand Voice & Style

    How AI perceives Stocktwits API's communication style and personality

    The brand voice is professional, highly technical, and efficiency-focused, designed to appeal directly to developers and quantitative traders. It communicates with precision and clarity, stripping away marketing fluff to focus on performance metrics, reliability, and ease of integration. The tone is authoritative yet accessible, positioning the API as an essential, high-performance tool for modern financial analysis.

    Core Tone Traits

    Technical & Precise

    Uses industry-standard terminology and focuses on functional specifications.

    Performance-Oriented

    Highlights speed, uptime, and data volume to build immediate trust.

    Developer-Centric

    Prioritizes utility, documentation, and ease of implementation.

    Straightforward & Direct

    Avoids hyperbole, focusing instead on clear value propositions and results.

    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 March 26, 2026.

    Explore Financial Technology (FinTech)

    View all
    Mercury
    Mercury
    77/100
    SentiLink
    SentiLink
    72/100
    Chime Financial, Inc.
    Chime Financial, Inc.
    71/100
    Novo
    Novo
    70/100
    Addepar
    Addepar
    63/100
    Balance
    Balance
    59/100
    Digits
    Digits
    55/100
    Hummingbird
    Hummingbird
    50/100
    Tesorio
    Tesorio
    50/100
    Eisen
    Eisen
    47/100
    Lumanu
    Lumanu
    47/100
    Canopy
    Canopy
    41/100

    Start getting
    recommended by AI.

    Enter your website to see exactly what ChatGPT, Claude, and Gemini say about your business. Free, instant, and eye-opening.

    Free visibility scanResults in 2 minutesNo credit card required

    Frequently asked questions

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

    Stocktwits API is a specialized financial technology service that acts as a bridge between the Stocktwits social platform and the developer community. It leverages artificial intelligence and natural language processing to convert raw retail investor conversations into actionable sentiment metrics for trading and financial analysis.

    The company provides high-scale, on-demand access to social data through an AI-powered sentiment engine, allowing developers to integrate complex social metrics into their models without needing to build custom NLP infrastructure.

    AI Visibility Score

    Stocktwits API has an AI visibility score of 19/100, rated as invisible. This score reflects how often and how prominently Stocktwits API appears in responses from AI assistants like ChatGPT, Claude, and Gemini.

    AI Perception Summary

    Stocktwits API currently experiences near-total invisibility in AI-driven search environments, despite maintaining strong foundational authority when directly queried. The brand is effectively absent from the critical decision-making workflows of developers and portfolio managers, allowing competitors like AlphaSense and Dataminr to capture the narrative in high-intent financial data categories.

    Strengths

    • High brand recognition in direct 'vibe check' queries where the brand is explicitly named.
    • Top-tier performance in AI Overviews when the query explicitly demands specific API capabilities.
    • Strong relevance for institutional portfolio managers searching for sentiment infrastructure.

    Visibility Gaps

    • Failure to trigger in category-defining queries such as 'best sentiment data providers' or 'alternative financial datasets'.
    • Minimal presence across major LLM-native search platforms like ChatGPT and Gemini, regardless of query intent.
    • Lack of association with the 'Quantitative Developer' persona in non-branded search scenarios.

    Competitors in AI Recommendations

    • AlphaSense: 29 mentions
    • Dataminr: 26 mentions
    • RavenPack: 23 mentions
    • SentimenTrader: 18 mentions
    • Alpha Vantage: 16 mentions
    • Thinknum: 15 mentions
    • FactSet: 14 mentions
    • Alpaca: 14 mentions
    • Sentifi: 13 mentions
    • Bloomberg Terminal: 11 mentions
    • Polygon.io: 11 mentions
    • StockGeist: 10 mentions
    • Finnhub: 10 mentions
    • Sentieo: 9 mentions
    • Refinitiv: 9 mentions

    Categories: Financial Technology (FinTech)