Query AI signals and on-chain data from Solana and BSC via the LogEarn Open API.
npx skills add https://github.com/logearn/logearn-skills --skill logearn-skills
Please help me install this Agent Skill. Skill: LogEarn-skills Source: https://github.com/logearn/logearn-skills/tree/main Command: npx skills add https://github.com/logearn/logearn-skills --skill logearn-skills
LogEarn-skills enables automated access to AI signals and on-chain data via the LogEarn Open API, reducing manual lookups and scripting overhead.
Install dependencies, export your LOGEARN_API_KEY, and run python logearn-cli.py with the desired command to start querying signals and on-chain data.
High-intent search queries and answers about installing and using this skill.
To query AI signals and on-chain data for Solana and BSC, install dependencies, export your LOGEARN_API_KEY, and run the unified CLI skill with your desired command to retrieve token info, K-lines, and trades.
Using a single API endpoint, you can retrieve AI signals, token details, historical K-line data, wallet balances, and on-chain trades for Solana and BSC networks to automate data retrieval workflows.
Yes, you need a valid LOGEARN_API_KEY to fetch token information and K-line data, as the CLI skill requires this key to authenticate requests to the LogEarn Open API.
You automate on-chain signal analysis for trading agents by integrating the CLI skill into your workflow to continuously fetch signals, wallet balances, and on-chain trades, enabling automated portfolio adjustments.
Yes, querying high-cost on-chain operations through the LogEarn Open API may incur credits, so you should monitor usage when automating continuous data retrieval and signal queries.
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