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e3d blockchain intelligence
Query Ethereum token intelligence, wallet counterparties, and macro financial stress scores via E3D.ai.
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e3d blockchain intelligence
Example session with this skill installed
Check the metadata for 0x4a220e6096b25eadb88358cb44068a3248254675 and tell me who their top counterparties are.
- Read your context and instructions
- Compiled the e3d blockchain intelligence
I have retrieved the metadata and counterparty activity for the Quant (QNT) token contract.
Token Intelligence Report: Quant (QNT)
| Metric | Value |
|---|---|
| Token Name | Quant |
| Symbol | QNT |
| Address | 0x4a220e6096b25eadb88358cb44068a3248254675 |
| Registry Status | Verified |
| Price (24h Change) | $84.22 (-1.45%) |
Top Address Counterparties
| Rank | Address | Tx Count | Role / Label |
|---|---|---|---|
| 1 | 0x28c6c06298d514db089934071355e5743bf21d60 | 1,240 | Binance 14 |
| 2 | 0xf977814e90da44bfa03b6295a0616a897441acec | 856 | Binance 8 |
| 3 | 0x47ac0fb4f2d84898e4d9e7b4dab3c24507a6d503 | 412 | Binance: 7 |
| 4 | 0x0d0707963952f2fba59dd06f2b425aceecd0f3c9 | 289 | Gate.io |
| 5 | 0x51c72848c68a965f69fa2e2f6d82253443659cf6 | 145 | Crypto.com |
Next steps
- Query
get_transactionsfor the top counterparty to see recent outflow volume. - Use
search_storiesto see if there are recent AI-generated narratives regarding QNT exchange flows. - Check
get_macro_snapshotto see if the LiquidityWatch score impacts current price action.
Connects securely to your tools. The creator never sees your data.
About this skill
Accessing real-time Ethereum intelligence requires more than a simple block explorer. This skill interfaces with the E3D.ai MCP server to retrieve deep analytical data on tokens, wallets, and macro financial stress.
What it does
- Entity Resolution maps token symbols or names to verified contract addresses and metadata.
- Counterparty Discovery identifies the most frequent wallet addresses interacting with specific tokens or contracts.
- On-chain Narratives retrieves AI-generated stories and investment theses surrounding specific Ethereum assets.
- Macro Analysis tracks the LiquidityWatch U.S. financial stress score and its causal drivers.
- Market Monitoring fetches recent transactions and 24h price movers to identify signals.
How it works
- Resolve: Use symbol search or address lookup to verify the target entity.
- Analyze: Pull historical transactions, counterparty lists, or registry profiles for the address.
- Contextualize: Query for related investment signals, stories, or macro snapshots to build a thesis.
- Report: Synthesize the data into a structured summary citing the specific E3D tools used.
Frameworks & tools
Built for the Model Context Protocol (MCP). Requires the e3d-mcp server. Compatible with Claude Desktop, Cursor, and any MCP-compliant environment using HTTP or stdio transports.
Why this beats prompting it yourself
Standard LLMs lack real-time access to the Ethereum state and specialized liquidity metrics. This skill provides a structured schema for querying the E3D.ai data lake, ensuring the agent doesn't hallucinate addresses or price data.
Use cases
- Due Diligence by analyzing a token's top counterparties and registry claim status.
- Signal Hunting through price mover lists combined with AI-generated narratives.
- Risk Assessment using the LiquidityWatch financial stress score to gauge macro market health.
- Wallet Profiling to see recent transaction history and interactions for specific Ethereum addresses.
Known limitations
Read-only access. It cannot execute trades, swaps, or token claims. Data is limited to Ethereum-based assets indexed by E3D.ai. Macro scores are analytical judgments, not financial forecasts.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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