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

FAQ

Can I deliver blockchain data directly into a fintech warehouse or risk system?

Yes. Indexing Co can write directly to PostgreSQL, BigQuery, webhook endpoints, and enterprise destinations so your compliance or analytics stack reads from your own infrastructure.

Can the pipeline enrich raw events into a fintech-specific schema?

Yes. You can transform raw transfers, swaps, balances, and contract events into ledger-ready records, risk signals, or customer-facing portfolio tables before they land.

Is this suitable for real-time monitoring and historical analysis?

Yes. The same pipeline can stream fresh events for monitoring while also replaying historical ranges for audits, investigations, and model recalculation.