How to create successful AI agent data?
Original author: jlwhoo7, Crypto Kol
Original translation: zhouzhou, BlockBeats
Editor's note:This article shares tools and methods that help improve the performance of AI agents, with a focus on data collection and cleaning. A variety of no-code tools are recommended, such as tools for converting websites to LLM-friendly formats, and tools for Twitter data crawling and document summarization. Storage tips are also introduced, emphasizing that the organization of data is more important than complex architecture. With these tools, users can efficiently organize data and provide high-quality input for the training of AI agents.
The following is the original content (the original content has been reorganized for easier reading and understanding):
We see many AI agents launched today, 99% of which will disappear.
What makes successful projects stand out? Data.
Here are some tools that can make your AI agent stand out.

Good data = good AI.
Think of it like a data scientist building a pipeline:
Collect → Clean → Validate → Store.
Before optimizing your vector database, tune your few-shot examples and prompt words.

I view most of today’s AI problems as Steven Bartlett’s “bucket theory” — solving them piece by piece.
First, lay a good data foundation, which is the foundation for building a good AI agent pipeline.

Here are some great tools for data collection and cleaning:
Code-free llms.txt generator: convert any website to LLM-friendly text.

Need to generate LLM-friendly Markdown? Try JinaAI's tool:
Crawl any website with JinaAI and convert it to LLM-friendly Markdown.
Just prefix the URL with the following to get an LLM-friendly version:
http://r.jina.ai<URL>

Want to get Twitter data?
Try ai16zdao's twitter-scraper-finetune tool:
With just one command, you can scrape data from any public Twitter account.
(See my previous tweet for specific operations)

Data source recommendation: elfa ai (currently in closed beta, you can PM tethrees to get access)
Their API provides:
Most popular tweets
Smart follower filtering
Latest $ mentions
Account reputation check (for filtering spam)
Great for high-quality AI training data!

For document summarization: Try Google's NotebookLM.
Upload any PDF/TXT file → let it generate few-shot examples for your training data.
Great for creating high-quality few-shot hints from documents!

Storage Tips:
If you use virtuals io's CognitiveCore, you can upload the generated file directly.
If you run ai16zdao's Eliza, you can store data directly into vector storage.
Pro Tip: Well-organized data is more important than fancy schemas!

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Mixin has launched USTD-margined perpetual contracts, bringing derivative trading into the chat scene.
The privacy-focused crypto wallet Mixin announced today the launch of its U-based perpetual contract (a derivative priced in USDT). Unlike traditional exchanges, Mixin has taken a new approach by "liberating" derivative trading from isolated matching engines and embedding it into the instant messaging environment.
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Based on its non-custodial architecture, Mixin has eliminated friction from the traditional onboarding process, allowing users to participate in perpetual contract trading without identity verification.
The trading process has been streamlined into five steps:
· Choose the trading asset
· Select long or short
· Input position size and leverage
· Confirm order details
· Confirm and open the position
The interface provides real-time visualization of price, position, and profit and loss (PnL), allowing users to complete trades without switching between multiple modules.
Mixin has directly integrated social features into the derivative trading environment. Users can create private trading communities and interact around real-time positions:
· End-to-end encrypted private groups supporting up to 1024 members
· End-to-end encrypted voice communication
· One-click position sharing
· One-click trade copying
On the execution side, Mixin aggregates liquidity from multiple sources and accesses decentralized protocol and external market liquidity through a unified trading interface.
By combining social interaction with trade execution, Mixin enables users to collaborate, share, and execute trading strategies instantly within the same environment.
Mixin has also introduced a referral incentive system based on trading behavior:
· Users can join with an invite code
· Up to 60% of trading fees as referral rewards
· Incentive mechanism designed for long-term, sustainable earnings
This model aims to drive user-driven network expansion and organic growth.
Mixin's derivative transactions are built on top of its existing self-custody wallet infrastructure, with core features including:
· Separation of transaction account and asset storage
· User full control over assets
· Platform does not custody user funds
· Built-in privacy mechanisms to reduce data exposure
The system aims to strike a balance between transaction efficiency, asset security, and privacy protection.
Against the background of perpetual contracts becoming a mainstream trading tool, Mixin is exploring a different development direction by lowering barriers, enhancing social and privacy attributes.
The platform does not only view transactions as execution actions but positions them as a networked activity: transactions have social attributes, strategies can be shared, and relationships between individuals also become part of the financial system.
Mixin's design is based on a user-initiated, user-controlled model. The platform neither custodies assets nor executes transactions on behalf of users.
This model aligns with a statement issued by the U.S. Securities and Exchange Commission (SEC) on April 13, 2026, titled "Staff Statement on Whether Partial User Interface Used in Preparing Cryptocurrency Securities Transactions May Require Broker-Dealer Registration."
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Its core capabilities include:
· Aggregation: integrating multi-chain assets and routing between different transaction paths to simplify user operations
· High liquidity access: connecting to various liquidity sources, including decentralized protocols and external markets
· Decentralization: achieving full user control over assets without relying on custodial intermediaries
· Privacy protection: safeguarding assets and data through MPC, CryptoNote, and end-to-end encrypted communication
Mixin has been in operation for over 8 years, supporting over 40 blockchains and more than 10,000 assets, with a global user base exceeding 10 million and an on-chain self-custodied asset scale of over $1 billion.

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