Notes on markets, sentiment, and building an AI research platform in public.
Two ways to put live market data in front of an AI: a one-URL MCP connector for Claude, ChatGPT, and Grok, or an API key for code. Which fits an executive stock dashboard, the exact prompts to ask for a weekly briefing, and what the connector can and cannot do.
By SentiSense TeamAn entity sentiment API tracks sentiment, mentions, and scores for people, products, and organizations the same way a stock API tracks tickers. Here is how to query a CEO, a politician, or a flagship product in two calls.
By SentiSense TeamGet analyst ratings, consensus price targets, and upgrade and downgrade actions for any covered stock from one API, in Python or straight from your coding agent, then overlay real-time sentiment to see where the crowd disagrees with Wall Street.
By SentiSense TeamA financial news API for AI agents and LLMs: real-time stories, deduplicated, tickers tagged, sentiment scored. Why scraping RSS is the expensive path, and what to use instead.
By SentiSense TeamAn AI can write discounted-cash-flow math all day. What it cannot do is remember what a company actually earned. We connected Claude to reported financials and built a three-scenario DCF on META, without the model inventing a single number. Here is the full walkthrough.
By SentiSense TeamMost retail options data is either a raw chain you have to decode yourself or a paid flow terminal that costs more than a car payment. Today we are launching Options Intelligence: an options radar and a per-stock options tab that rank every reading against the stock's own history, free with a SentiSense account, plus a public API, an MCP tool, and an agent skill for builders. 'High IV' finally means something, because we tell you high relative to what.
By SentiSense TeamEveryone's building an AI agent to analyze stocks. When everyone has one, the agent stops being the edge and the data does. Here's how to feed yours better.
By SentiSense TeamRetail's real information edge is watching where the crowd talks about stocks before the talk shows up in price. The single largest place that conversation happens is finance YouTube, and until now almost nobody was measuring it. Today we are turning it into data: SentiSense reads finance YouTube as a first-class sentiment source alongside news, Reddit, X, and Substack, scored per video and per comment, linked to the tickers people are actually discussing.
By SentiSense TeamMarket sentiment moves prices before fundamentals do, but tracking it is vague advice unless you know what to measure. Here is a practical guide to the three ways people track stock market sentiment, what separates a useful signal from noise, and how to watch it for free.
By SentiSense TeamWe compared the major stock sentiment data providers and APIs on coverage, methodology, developer experience, and price. Including where each one beats us. A practical guide for traders and builders choosing a sentiment source in 2026.
By SentiSense TeamToday we are opening a third door into SentiSense: an MCP connector that brings our market intelligence straight into Claude and ChatGPT. Paste one URL, sign in, and your AI can pull Market Mood, stock sentiment, market-moving news, analyst ratings, and institutional flows. No API key, no code. Use the app. Build on the API. Or just ask your AI.
By SentiSense TeamEveryone has a take on AI, but there has never been a clean, single number for how the conversation itself is trending. AI Sentiment is a daily composite index that aggregates tone across the AI labs, the AI products people actually use, the chipmakers, and the hyperscalers into one reading you can watch move.
By SentiSense TeamOur sentiment data caught the hype tripling before preorders even opened. The harder question is whether Take-Two's stock has already priced the win.
By SentiSense IntelligenceWe are launching the SentiSense Calendar API. The first feed is a forward-looking earnings calendar: which companies report over the next several weeks, with session timing, fiscal quarter, confirmation status, and consensus EPS. Free for the current week, full forward window on PRO, and wired into the Python and Node SDKs plus our agent skills.
By SentiSense TeamWhen we launched the SentiSense API in March, PRO came with a 100,000 requests per month ceiling. We are removing it. PRO is now unlimited on monthly volume, with a single per-minute rate as the only guardrail. Here is what changed, why, and everything we have shipped for builders since launch.
By SentiSense TeamEvery few months a thread goes viral asking how Reddit's stock picks actually performed, and the answer is always a cherry-picked mess with no entry dates and the losers quietly forgotten. Today we are launching a free, survivorship-free tracker that answers the question honestly and keeps answering it: the stocks finance-Reddit turned bullish on, each frozen with an entry date and scored against the S&P 500.
By SentiSense TeamInvestors watch the Fed obsessively, but there has never been a clean, single number that summarizes how the market is talking about it. Fed Sentiment is a weekly composite index that does exactly that: aggregated tone across the current Fed Chair, the Federal Reserve as an institution, and the former Chair as a retrospective signal.
By SentiSense TeamToday we are formally launching the SentiSense API: a single, well-documented surface for stock fundamentals, institutional flows, congressional and insider trading, analyst ratings, AI insights, news sentiment, and our proprietary Market Mood index. Plus Python and Node SDKs, and an AI agent skill that drops into Claude Code, Cursor, and OpenClaw.
By SentiSense TeamCNN's Fear & Greed Index only looks at market data. Market Mood adds social sentiment from Reddit, X, and news, and it's completely free with full API access.
By SentiSense TeamDiscover how modern investors are using AI-powered data platforms to cut through market noise, make informed decisions, and augment their intelligence in an increasingly complex financial landscape.
By SentiSense TeamA practical guide to what works, what doesn't, and why most off-the-shelf solutions fail on financial text. Learn why fine-tuned models trained on news, X/Twitter, and Reddit outperform generic LLMs by 26%.
By SentiSense Team