Optimism • Latin America

Wallet Labels Directory for institutional liquidity providers

Access a curated directory of labeled wallets, entities, contracts, and risk designations for faster investigations. Desks providing on/off-chain liquidity that must balance inventory, minimize risk, and report to counterparties. Detect anomalies, suspicious approvals, and governance changes before funds are at risk. High adoption of stablecoins for remittances and growing DeFi usage in Brazil, Argentina, and Mexico.

  • Search thousands of tagged wallets with categories like exchange, market maker, exploiter, DAO, or whale.
  • Export entity intelligence to CSV/JSON for downstream analytics and monitoring tools.
  • Submit label suggestions and supporting evidence for community review and curation.
  • Need precise transaction decoding and counterparty mapping across thousands of wallets.

Key metrics

Addresses labeled

250k+

Continuously updated across Ethereum, L2s, and major sidechains.

Entity types

40+ categories

From centralized exchanges to mixers, MEV bots, and DAO treasuries.

Optimism profile

OP Stack ecosystem aligned with governance, public goods, and Coinbase transactors.

Transaction cost typically under $0.15 after Bedrock upgrade.

Unique insights

  • Optimism: Transaction cost typically under $0.15 after Bedrock upgrade. Pair this with wallet labels directory to live monitoring of contract upgrades, proxy changes, and admin key usage..
  • Latin America: Jurisdictions move toward fintech sandboxes; tax authorities expect detailed wallet reconciliation. Align market makers & liquidity desks workflows with tighter inventory hedging windows..
  • For institutional liquidity providers, emphasize Combines on-chain heuristics with verified crowdsourced intel and partner feeds. and track Mean time to detect high-risk contract events. weekly.

Why teams rely on this tool

Core capabilities

Search thousands of tagged wallets with categories like exchange, market maker, exploiter, DAO, or whale. Export entity intelligence to CSV/JSON for downstream analytics and monitoring tools. Submit label suggestions and supporting evidence for community review and curation.

Audience fit

Need precise transaction decoding and counterparty mapping across thousands of wallets. Tighter inventory hedging windows.

Optimism focus

Velodrome, Base bridge, and retroactive funding flows dominate volumes. Live monitoring of contract upgrades, proxy changes, and admin key usage.

Operational playbook

  1. 1Filter by chain, entity type, or risk score to find relevant wallets.
  2. 2Investigate linked activity via Wallet Investigator or Portfolio dashboards.
  3. 3Export labeled sets or subscribe to updates for ongoing monitoring.

Use cases

Live monitoring of contract upgrades, proxy changes, and admin key usage. WhatsApp-first support and mobile-friendly dashboards outperform traditional desktop tooling.

Token scanner sweeps of newly listed assets interacting with your treasury. WhatsApp-first support and mobile-friendly dashboards outperform traditional desktop tooling.

Mapping transacting wallets to known entities for counterparty risk scoring. WhatsApp-first support and mobile-friendly dashboards outperform traditional desktop tooling.

Proof points

  • Risk desks enrich suspicious transactions without switching tools.
  • Support teams reduce response times by recognizing counterparties instantly.
  • Compliance teams export labeled histories for SAR preparation.

ChainUnified tools that pair well

Related pages

Frequently asked questions

Where do the labels come from?

We blend ChainUnified telemetry, partner datasets, and community submissions vetted by analysts.

Can I import custom labels?

Upload CSV or integrate via API to overlay proprietary intelligence alongside ChainUnified entries.

Do you score label confidence?

Yes. Each label includes source metadata, last-seen activity, and reviewer notes.

Wallet Labels Directory for Market makers & liquidity desks in Latin America | Risk monitoring & incident response on Optimism