Fintech Data Infrastructure
Blockchain data pipelines for fintech applications, portfolio tracking, risk analytics, and regulatory reporting across 100+ chains.
A compliance team requests a transaction report for a customer's wallet. Six months of activity across Ethereum, Polygon, and Arbitrum. The engineer queries raw RPC endpoints, hits rate limits, decodes hex logs manually, and comes back three days later with a spreadsheet. The customer has moved on.
Fintech teams spend engineering cycles on blockchain data plumbing that isn't their product. Indexing Co handles the indexing layer: structured event data delivered to your systems at sub-500ms latency (dedicated infra), so your team builds the product, not the pipeline.
Use Cases
Portfolio and Asset Tracking
Token balances, NFT holdings, staking positions, and DeFi allocations across chains. When a user deposits into a yield protocol or bridges to a new chain, your dashboard reflects it within seconds. No polling. No manual balance reconciliation.
Risk and Exposure Analytics
Counterparty exposure to lending protocols, bridge contracts, and DEX liquidity pools. Your risk models need current positions, not yesterday's snapshot. Indexing Co streams position change events directly to your data warehouse so exposure calculations run against live state.
Regulatory Reporting and Compliance
Transaction monitoring requires complete, auditable records of wallet activity. Indexing Co captures every transfer, swap, approval, and contract interaction with normalized addresses and decoded function calls. Your compliance tooling gets structured inputs, not raw logs to parse.
Market Data Aggregation
DEX pricing, liquidity depth, and volume across Uniswap, Curve, Balancer, and protocol variants. Aggregate price feeds for trading interfaces without building separate connectors for each protocol.
How It Fits
- sub-500ms (dedicated infra): Block-to-storage, measured across production pipelines. Portfolio valuations reflect current state
- Schema you control: Define your own data model: map protocol events to your internal types, not a predefined schema
- Direct delivery: Data goes to your PostgreSQL, BigQuery, or webhook endpoint. No intermediate API layer
- Historical depth: Backfill years of on-chain history through the same pipeline definition used for real-time streams
- 100+ chains: Multi-chain coverage from a single platform as your product expands
Key Numbers
- 100+ chains indexed in parallel
- sub-500ms block-to-database on dedicated infrastructure
- 1B+ events/day processed across all pipelines
- 1.6 TB/day of raw blockchain data ingested