The Context Advantage

01 — THE EXPERIMENT

Same model, same question, one variable

Each question was asked twice on the same day: once bare, once with a small markdown context pack built from live LunarCrush data (interactions, engagement sentiment, per-network mood, attention spikes, timestamped posts). The model was explicitly told to say so when it could not know current data. Answers below are verbatim and unedited.

02 — QUESTION 1

What is the social-media crowd saying about unitedhealth stock right now, and why?

Same model, same question, asked 2026-07-22. Left: the model alone. Right: the model with a LunarCrush context pack (downloadable below).

WITHOUT LIVE CONTEXT

Currently, social media sentiment surrounding UnitedHealth (UNH) stock is highly bullish, with retail tracking metrics showing it significantly outperforming its industry peers. The crowd's optimism is driven by UNH's recent Q2 2026 earnings report, which massively beat Wall Street estimates and resulted in raised full-year guidance. On platforms like Reddit and Stocktwits, retail investors are actively praising the company as a strong "defensive" and "momentum" play, specifically highlighting better-than-feared medical costs and ongoing share buybacks.

WITH THE LUNARCRUSH PACK

Based on the recent data, the social media crowd is showing a massive surge of interest in UnitedHealth ($UNH), highlighted by an attention spike of over 500,000 interactions per hour that reached 26 times the usual volume. This explosion in engagement is driven primarily by the company's recent earnings beat and its strong performance leading the broader healthcare sector. Commentators are expressing highly bullish sentiment as a result, characterizing UNH as a powerful insurance monopoly and predicting that the stock could climb to $700.

03 — QUESTION 2

Why is pi network trending on social media today, and what is the crowd mood?

Same model, same question, asked 2026-07-22. Left: the model alone. Right: the model with a LunarCrush context pack (downloadable below).

WITHOUT LIVE CONTEXT

Pi Network is trending today primarily due to the official activation of the Protocol v25 upgrade, which introduces privacy-preserving smart contracts and paves the way for a native decentralized exchange (DEX). The community is also closely watching the PI token's recent 25–30% "relief rally" as it rebounds from an all-time low of $0.070. Overall, the crowd mood is highly polarized; while supporters are optimistic about technological milestones and new utility products like Pi Verify, there is heavy market anxiety surrounding an impending supply unlock of over 100 million tokens.

WITH THE LUNARCRUSH PACK

Pi Network is trending due to a massive attention spike of over 1 million interactions per hour, heavily sparked by a viral diagram showing the project appearing on a "RootData" map. The momentum was further fueled by official nostalgic TikToks and highly engaged regional community meetings across Southeast Asia discussing the ecosystem's broader value. Despite this 53x surge in typical engagement, the measured crowd mood is completely flat, registering at exactly 0% for positive, negative, and neutral sentiment.

04 — QUESTION 3

What is the current social sentiment on tesla going into its earnings report this week, and which platforms are most positive?

Same model, same question, asked 2026-07-22. Left: the model alone. Right: the model with a LunarCrush context pack (downloadable below).

WITHOUT LIVE CONTEXT

Social sentiment for Tesla ahead of its Q2 2026 earnings is currently described as a "cautious optimism" driven by a recent delivery beat but tempered by fears of margin erosion [1, 2]. Retail sentiment is most positive on platforms like Reddit (r/teslainvestorsclub) and X, where users are highly bullish on Tesla's unique "Physical AI" moat, FSD v15, and the recent July rollout of Robotaxi services in Florida [2]. Conversely, skepticism is more prominent on Stocktwits, where traders are wary of an "overpromise problem" regarding aggressive expansion timelines and high capital expenditures [5]. Options markets reflect this tension, bracing for high volatility as institutional analysts await concrete updates on Optimus commercialization and Cybercab production to justify the stock's stretched valuation [1, 5].

WITH THE LUNARCRUSH PACK

Heading into its earnings report, Tesla's social engagement over the last 24-48 hours is predominantly neutral at 66%, though positive sentiment (20%) slightly outweighs the negative (15%). This conversation is driven by massive online interest, generating over 1.6 billion interactions across social channels in just the past seven days. When breaking down sentiment by platform, Twitter (tweet) leads as the most positive network with a score of 86 out of 100. YouTube follows as the second most positive platform with a score of 72, while TikTok ranks the lowest with a nearly split score of 51.

05 — WHAT WE OBSERVED

The failure mode is not ignorance, it is fluency

Asked about live markets without live data, the model did not say "I cannot know that": it produced confident, specific, plausible-sounding claims that nothing in its context could support. With a pack attached, the same model cited real numbers, real timestamps, and real posts. That is the entire argument for grounding: the ungrounded answer is not obviously wrong, which is exactly what makes it dangerous in a research workflow.

Fair caveats: one model, three questions, one day. This page is a demonstration you can rerun in about a minute, not a benchmark. The packs are downloadable below; swap in your own harness and check us.

06 — DO THIS WITH YOUR OWN HARNESS

The pack pattern is the product

Every pack on this page was generated from the same API that powers the commercial feed. Point your assistant at the LunarCrush MCP server and it can build packs like these on demand, for any ticker, topic, product, or person, with live data instead of a snapshot.

07 — THE PACKS

Run it yourself

The three context packs used above, exactly as the model saw them, timestamps included.

⬇ pack: pi-network ⬇ pack: tesla ⬇ pack: unitedhealth ⬇ AI guide (.md for your LLM)

The .md file is a companion brief for AI assistants: schema, methodology, and validation anchors. Drop it into Claude or ChatGPT next to the data and your model starts from the right place.

Talk to Joe

Two-week institutional trials include API and MCP access, so your assistants and your researchers pull from the same live source. Most teams have a grounded workflow running the same week.

Joe Vezzani · Co-founder & CEO, LunarCrush · joe@lunarcrush.com

Email Joe