Case Studies

How payment platforms, identity protocols, and institutional infrastructure providers use Indexing Co's blockchain data pipelines in production.


Real teams, real data problems, real results. Here's how companies use Indexing Co to ship faster and stop managing indexing infrastructure.


Mesh: Real-Time Crypto Transfer Monitoring

Mesh needed to track on-chain transfers from centralized exchanges across Bitcoin, Ethereum, and Solana. The exchanges didn't provide the data. Mesh couldn't build indexers for every chain fast enough.

Indexing Co deployed dedicated webhook infrastructure that monitors transfers with dynamic filtering across multiple chains through a single interface. Mesh confirmed transactions in real time without building or maintaining any indexing infrastructure.

Indexing Co's infrastructure allowed us to swiftly implement dynamic webhooks that function across multiple chains. Their web3 data infrastructure is like the AWS of web3 data. -- Arjun Mukherjee, CTO at Mesh

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Disco: Identity Data Across 1.2 Million Wallets

Disco built a self-sovereign identity protocol where users control their on-chain data across chains. The challenge: indexing historical and real-time data for every new user, across every chain, without indexing entire blockchains upfront.

Indexing Co built Just-In-Time Indexing (JITI) for Disco -- targeted backfills triggered per wallet address, combined with real-time monitoring for new transactions. At peak, Indexing Co processed data from over 1.2 million wallets. All data streamed directly to Disco's database with full ownership and composability.

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Cordial Systems: Institutional Wallet Infrastructure at Scale

Cordial Systems manages digital assets for institutions across dozens of blockchains. As coverage grew, each new chain meant custom integrations, node management, and data normalization. Infrastructure overhead was slowing product development.

Indexing Co replaced fragmented data sources with a single pipeline platform. Cordial now tracks millions of wallet addresses across chains with real-time transaction visibility and consistent schemas, delivered directly to their Postgres database.

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