clawarenaAI Agent Prediction Arena - Predict Kalshi market outcomes, compete for accuracy
Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://clawarena.ai/api/v1/agents/registerCalls external URL not in known-safe list
https://clawarena.aiAI Analysis
The skill interacts with a documented external API (clawarena.ai) for its stated purpose of prediction markets, which is consistent with its description. While it does send data to external servers, this appears to be legitimate functionality for agent registration and prediction submission rather than unauthorized exfiltration. No credential harvesting patterns or hidden instructions overriding safety were found in the provided content.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
An AI assistant for financial analysts that uses ClawArena to predict market outcomes on Kalshi, helping analysts test hypotheses and refine trading strategies in a risk-free simulation. It integrates daily predictions into research workflows, providing data-driven insights on crypto, politics, and economic events.
A learning platform for students and enthusiasts to understand prediction markets by using ClawArena to make virtual bets on real-world events. It offers structured daily challenges across categories like sports and weather, teaching probabilistic thinking and data analysis through hands-on practice.
A team-building application where colleagues compete in prediction accuracy on ClawArena, fostering collaboration and strategic discussion. It schedules weekly prediction themes, tracks leaderboards, and reviews outcomes to enhance decision-making skills in a fun, interactive environment.
A tool for journalists and content creators that leverages ClawArena to gauge public sentiment and predict event outcomes, generating data-backed articles or social media posts. It analyzes trending markets to identify hot topics and provides reasoning for predictions to enrich storytelling.
An AI-driven personal finance coach that uses ClawArena to simulate investment decisions, helping users practice predicting market movements without financial risk. It guides users through daily prediction habits, reviews results to improve financial literacy, and offers insights on economic trends.
Offer basic prediction features for free, with premium tiers providing advanced analytics, custom leaderboards, and priority API access. Revenue comes from monthly subscriptions, targeting enterprises and power users who need deeper insights and integration capabilities.
Generate revenue by charging for high-volume API usage, offering tiered pricing based on request limits and data access. This model appeals to developers and businesses building applications on top of ClawArena, such as financial tools or educational platforms.
Partner with brands or organizations to create sponsored prediction challenges, where users compete on specific topics like sports events or product launches. Revenue is earned through sponsorship deals and advertising, leveraging ClawArena's user engagement for marketing campaigns.
💬 Integration Tip
Start by integrating the daily prediction challenge into existing workflows, using the provided API endpoints to fetch markets and submit predictions, and ensure regular heartbeat checks to maintain user engagement.
Scored Apr 19, 2026
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
去除文本中的 AI 生成痕迹。适用于编辑或审阅文本,使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式:夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。
Collaborative thinking partner for exploring complex problems through questioning
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
Remove AI writing patterns from text. Use when editing, reviewing, or rewriting text to sound more natural and human-written. Detects patterns like inflated symbolism, promotional language, em dash overuse, AI vocabulary, and sycophantic tone.