Introducing TradingDD: Intelligence for Any Token in Real Time
Today we’re excited to introduce TradingDD, a blazing-fast, lightweight endpoint purpose-built for teams that need token intelligence at scale. It’s the simplified, performance-optimized version of our holder analysis and trading models that thousands of devs rely on every day, now distilled into a single, low-latency API call.
If you're building a DEX, trading bot, portfolio tracker, terminal, launchpad, agent, execution strategy or otherwise, TradingDD is your new default.
Why TradingDD Exists
The pace of token creation is accelerating, especially on chains like Solana where thousands of new assets can launch in hours. Builders need clean, accurate, real-time signals for their product, and users want to know what they’re looking at before taking action. Developers need to filter real opportunities from the endless stream of bad tokens with instant mintable/freezable checks.
Until now, token data was fragmented across explorers, indexers, social channels, and slow legacy APIs. None of it is designed for instant screening, decisioning, or crypto-level throughput.
So we rebuilt the solution from first principles.
What TradingDD Delivers
TradingDD gives you a one-stop shop for everything you need to understand a token’s behavior and structure at a glance:
Core Signals
- Bundling Percentages
- Sniping Percentages
- Top holder analysis
- Dev activity (Holding %, tokens launched in 24 hours, etc.)
- Token supply and stats
- Age, activity, and metadata
- Mintability checks
- Freezability checks
Performance Focused
- Single ultra-fast endpoint
- Solana support today (multi-chain expansion coming)
- Built for automated trading, agentic execution, and high-frequency querying
When you query TradingDD, you get an immediate, structured view of a token’s health, behavior, and risk posture, even at launch. No piecing data together. No latency spikes. No missing early signals. If you want more data, we have it - our beloved holder analysis endpoint and threat risk endpoint remain as popular as ever.
Use Cases Built for Builders
TradingDD is already being adopted across:
- AMMs & DEXs: screening tokens before listing or surfacing risk markers to traders
- Trading bots: evaluating real-time conditions and filtering out scam patterns
- Front-ends & terminals: enriching UI with instant token context
- Agentic systems: letting LLMs or autonomous agents understand token dynamics safely
- Research & analytics: piping risk-aware metadata into dashboards or models
If you build anything that touches tokens… TradingDD was made for you.
Why This Matters
Token ecosystems are moving toward AI-driven, automated decisioning. That only works if the underlying data is accurate, fast, and grounded in real behavioral patterns.
TradingDD brings Webacy DD’s intelligence (the same models that power our enterprise-grade risk engine) directly into your builder workflow.
This is due diligence at the speed of digital assets.
Start Building
You can view the docs.
We’ll be publishing more examples, templates, and dev guides. If you want to integrate TradingDD into your stack, reach out anytime.
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