token_who_bought_sold
shallowio.github.nansen-ai/nansen-mcp · Verify this server
Get TOTAL amount of tokens bought/sold by address for a token on DEX (Decentralised Exchanges) ONLY. Use this tool to find out WHO is buying or selling a token (on DEX) AND then you can check if they are liquidating profits or accumulating more. Returns: Aggregated buyer/seller activity as markdown. Returns empty string if no trading data found. Columns returned: - **Address**: Trader's wallet address - **Label**: Nansen label of the address - **Bought Token Volume**: Total quantity of tokens purchased - **Sold Token Volume**: Total quantity of tokens sold - **Gross Token Volume**: Combined buy and sell volume in tokens - **Bought Volume USD**: USD value of all token purchases - **Sold Volume USD**: USD value of all token sales - **Gross Volume USD**: Combined USD trading volume Sorting Options: You can sort asc or desc by bought_volume_usd or sold_volume_usd Notes: - buy_or_sell parameter filters for "BUY" (net buyers) or "SELL" (net sellers) - Aggregates all trading activity within the specified time range
1 trials · measured 8 days ago
token_who_bought_sold scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.nansen-ai/nansen-mcp, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Category
- Developer infrastructure
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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