Read a counterparty graph for an address
A counterparty graph shows who an address transacts with, weighted by volume and labeled with entities. The graph endpoint returns the edges as structured data, so you can persist and re-render them instead of screenshotting a locked dashboard.
- A live API key with a positive credit balance
- The address and chain you want to map
1Call the graph endpoint
Pass the chain and address. The graph endpoint is C3-metered. Each edge is a counterparty with a direction, volume and, where known, an entity label.
curl https://api.1st-node.com/v1/intel/eth/0x9a..f2/graph \ -H "Authorization: Bearer sk_live_..."
2Read the labeled edges
The response lists counterparties with direction, volume and cluster-level entity labels plus confidence. Unlabeled edges come back with the raw address.
> { "edges": [
> { "peer": "0x28..a1", "entity": "Binance",
> "category": "exchange", "dir": "out",
> "volume_usd": 412000, "confidence": 0.9 },
> { "peer": "0x5c..09", "entity": null,
> "dir": "in", "volume_usd": 88000 } ] }3Store the graph for reproducibility
Persist the edge list verbatim. Because you own the structured data, the same graph can be re-rendered and audited later without re-querying, and the conclusion stays reproducible.
Perguntas frequentes
Is this a dashboard or data?
Data. The graph is returned as structured edges you own and store, not a view locked inside a console.
Are the entity labels on edges reliable?
They are cluster-level attributions with a confidence value. Threshold on confidence and treat null entities as unlabeled counterparties.
Continue lendo
Recarregue, pegue a chave e publique.
Autoatendimento. Pague em cripto ou cartão. Medido por créditos: primitivas pesadas custam mais, as simples são baratas.
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