Eolas Tools Documentation
Welcome to the Eolas Tools Documentation
Here, you’ll find everything you need to get started with Eolas’s custom tools for CreatorBid agents, including usage instructions, input/output examples, and integration guides.

Agent Skills Overview
DeFAI Skillset​
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Fundamental Analysis: In-depth research on individual tokens, blockchains, or protocols.
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Technical Analysis (TA): Comprehensive chart analysis with multiple indicators.
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Ten Word TA: Quick, concise technical analysis with price targets.
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LunarCrush Early Caller: Identifies early cryptocurrency opportunities through social sentiment and market metrics.
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Query Extract: A natural language interface for extracting on-chain data from Dune Analytics.
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Price Predictor: AI-powered price forecasting with scenario analysis.
Other Skills​
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General Predictor: Broad scenario analysis for political, economic, and technological forecasting.
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Tool Selector: Helps users choose the right skill based on their needs.
DeFAI Skillset
Fundamental Analysis​
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Purpose: Deep research on individual tokens, blockchains, or protocols.
Best for:
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Single-project analysis of metrics, team, technology, and market position.
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Research on specific tokens and project health.
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Inputs (Natural Language Prompt):
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Token Name or Symbol.
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Timeframe for analysis.
Outputs:
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Detailed project metrics.
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Team and technology assessment.
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Market position and growth trends.
Technical Analysis (TA)​
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Purpose: Provides comprehensive technical analysis for trading pairs.
Best for:
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Chart analysis using multiple indicators.
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Inputs (Natural Language Prompt):
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Trading pair (e.g., SOL/USD).
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Timeframe (e.g., 4-hour, daily).
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Example: Give me a technical analysis on $SUI.
Outputs:
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Chart insights with key technical levels.
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Indicator-based analysis and trend predictions.
Ten Word TA​
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Purpose: Quick, concise technical analysis with price targets.
Best for:
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Rapid market insights in a compact format.
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Inputs (Natural Language Prompt):
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Trading pair or asset name.
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Example: "Give me a ten-word analysis for Bitcoin."
Outputs:
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Condensed analysis in exactly ten words.
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Key indicators and price targets.
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Example: “BTC bearish to $89K: MACD negative, RSI weak, volume declining”
LunarCrush Early Caller​
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Purpose: Identifies promising micro-cap tokens early.
Best for:
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Finding high-potential, low-market cap projects.
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Inputs (Natural Language Prompt):
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Minimum and maximum market cap range.
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Maximum percentage price change over 24 hours and 7 days.
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Minimum trading volume in the last 24 hours.
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Minimum Galaxy Score, sentiment score, and score slope.
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Time series parameters, including interval, bucket size, and lookback period.
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Example Prompt: "Screen for promising tokens under $10M market cap."
Outputs:
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Market and sentiment metric analysis.
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Example Prompt: "Analyzing the early opportunity presented by SunWukong (SUNWUKONG), there are several key points of interest:
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1. Market Sentiment and Social Metrics:
The average sentiment surrounding SunWukong is exceptionally high at 100.0%, indicating robust positive sentiment among the community and potential investors. This could suggest growing interest or a loyal following, which is crucial for momentum in the cryptocurrency market.
Although the Social Dominance Change is reported as +0.00%, which suggests stability, it doesn't necessarily signal a decline in interest but rather implies a consistent level of engagement.
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2. Galaxy Score and AltRank Improvements:
SunWukong’s Galaxy Score, which measures the health, quality, and performance of a cryptocurrency based on social and market activity, has seen a significant improvement from 20 to 63 with a daily increase of +3.67 points. This indicates a rising interest and potentially increasing market confidence.
The AltRank, which combines various indicators to predict price movements, has improved notably from 5017 to 3623 with a 7-day increase of +3.50 points/day. This suggests that SunWukong is gaining traction relative to other cryptocurrencies.
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3. Market Performance:
Despite the positive sentiment and improving scores, SUNWUKONG has experienced declines in its value with a 24-hour change of -9.20% and a 7-day change of -13.84%. This might be attributed to broader market conditions or profit-taking after a period of gains.
The 24-hour trading volume of $635,575 against a market cap of $950,073 indicates a relatively high turnover, which can be a sign of active trading and interest.
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4. Potential Catalysts and Considerations:
The substantial positive sentiment could be fueled by an upcoming announcement, partnership, or new development. Investors should stay informed about any news or updates from the SunWukong team that could serve as a catalyst for price movement.
The current drawdown in price could present a buying opportunity for those looking to enter at a lower cost, especially given the improving social and market metrics.
It’s crucial to consider external market conditions, such as regulatory changes or macroeconomic factors, which could impact the cryptocurrency market as a whole
Query Extract​
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Purpose: Extracts specific on-chain data using plain English queries.
Best for:
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Retrieving custom blockchain metrics from Dune Analytics.
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Inputs (Natural Language Prompt):
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Query ID or description.
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Timeframe and filters.
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Example Prompt: "Query 3515965: What is the total volume on 12th of Jan?"
Outputs:
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On-chain data report relevant to the query.
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Example:
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The total volume on the 12th of January is $82,442,310.27 USD.
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The relevant information extracted from the data is the \"totalVolumeUSD\" for the date \"2025-01-12\", which is $82,442,310.27 USD.
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Note: The data provided only includes the first 100 rows of the query result, and there are a total of 397 rows. If the date \"2025-01-12\" was not included in these 100 rows, the information might be in the hidden rows. However, in this case, the required date is present in the visible data.
Price Predictor​
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Purpose: AI-powered price forecasting with scenario analysis.
Best for:
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Predicting future price movements under different scenarios.
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Inputs (Natural Language Prompt):
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Asset name.
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Timeframe for prediction.
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"What will be the price of Solana by the end of 2025?"
Outputs:
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Bull/base/bear case analysis.
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Risk factor assessments and confidence scoring.
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Example: https://x.com/Agent_47_Trump/status/1884635131865858076
Other Skills
General Predictor​
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Purpose: Broad scenario analysis for complex situations.
Best for:
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Political, economic, and technological forecasting.
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Inputs (Natural Language Prompt):
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Topic or industry.
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Specific timeframe or event.
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Example: "Which tech companies are most likely to face antitrust action in 2025?"
Outputs:
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Multiple scenario analysis.
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Probability assessments and risk factor identification.
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Example:
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MAIN PREDICTION:
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Alphabet Inc. (Google) is most likely to face significant antitrust action in 2025, with a probability of 58%. This is due to ongoing legal battles and its dominant position in search services and adtech markets.
KEY FACTORS DRIVING THIS PREDICTION:
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Google's ongoing antitrust cases in the US, targeting its search services and adtech dominance, are in advanced stages and expected to continue into 2025.
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The regulatory environment, particularly in the US under the Trump administration and in the EU with the Digital Markets Act, is focused on curbing the dominance of gatekeeper companies, of which Google is a prime example.
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The global trend of increasing scrutiny on digital platforms and AI-related practices ensures continued focus on Google’s business operations.
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SCENARIO ANALYSIS:
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1. Optimistic Case (20%): Google manages to successfully defend against major antitrust actions or reaches favorable settlements.
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Key drivers: Successful legal defenses, favorable court rulings, and strategic settlements.
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Required conditions: Courts uphold Google's arguments, and the Trump administration adopts a more moderate antitrust stance.
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Expected timeline: Early to mid-2025, with key court decisions in the first half of the year.
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2. Base Case (58%): Google faces significant antitrust challenges, potentially leading to changes in its business operations, but without severe penalties like divestitures.
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Key drivers: Continued regulatory scrutiny, ongoing legal proceedings, and international regulatory coordination.
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Required conditions: Regulatory bodies maintain current enforcement priorities, and courts impose moderate remedies.
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Expected timeline: Throughout 2025, with ongoing litigation and regulatory actions.
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3. Pessimistic Case (22%): Google experiences severe antitrust penalties, including potential divestitures or major operational changes
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Key drivers: Aggressive antitrust enforcement, unfavorable court rulings, and coordinated global regulatory actions.
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Required conditions: Courts and regulators impose harsh penalties, and global regulatory bodies act in unison.
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Expected timeline: Mid to late 2025, with significant court rulings and regulatory decisions in the latter half of the year.
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CONFIDENCE LEVEL: 8
The prediction is based on well-documented ongoing legal cases, regulatory trends, and expert analyses, providing a high level of confidence.
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TIME HORIZON: 2025
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CRITICAL UNCERTAINTIES:
The stance of the Trump administration’s antitrust officials, which could influence the direction and intensity of enforcement.
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Court rulings that could either bolster or undermine regulatory cases against Google.\n- International regulatory coordination, particularly between the US, EU, and other major jurisdictions, impacting the scope of antitrust actions.
MONITORING METRICS:
Progress and outcomes of Google's ongoing antitrust cases in the US and EU.
Changes in regulatory policies or leadership in the US and EU that may impact antitrust enforcement.
Developments in global regulatory frameworks targeting digital platforms and AI practices.
Skill Selector​
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Purpose: Helps users choose the right tool for their needs.
Best for:
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Identifying the most relevant skill based on the user's query.
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Inputs (Natural Language Prompt):
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Prompt
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Examples:
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"What will be the price of Solana by the end of 2025?"
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"Query 3515965: What is the total volume on 12th of Jan?"
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"Screen for promising tokens under $10M market cap."
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Outputs:
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Suggested tool recommendation.
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Example: price_predictor
Integration Guide
Integrating Eolas Tools (Coming Soon)​
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This feature is currently in development. Reach out for early access.