DeFi — Infrastructure — Consumer
Glue
A consumer-friendly on-chain hub combining trading, service-provider integrations and a layered blockchain stack under one simplified product experience.
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Blockchain ServicesIndexers
Indexers
& Subgraphs
Blockchain data is powerful but hostile to direct use. You can’t run a SQL query against Ethereum.
Engagement
Blockchain Engineering
Typical Duration
3 – 6 weeks
We build the data infrastructure that makes on-chain activity usable. Indexers and subgraphs that watch the chain, process events, transform raw data into structured schemas, and serve it through APIs your applications can actually consume. Without them, blockchain products are slow, expensive to query, and blind to their own history.
What we build
The Graph Subgraphs
Subgraph manifests, mapping handlers, schema definitions that transform smart contract events into a GraphQL API. Deployed to decentralised network, hosted service, or self-hosted.
Custom Indexers
When The Graph doesn’t fit. Node.js or Python services that process events and write structured data to PostgreSQL, ClickHouse, or ElasticSearch. More flexibility in data processing and API design.
Real-Time Event Processors
Immediate reaction to on-chain events: notifications, workflow triggers, anomaly detection, real-time dashboards. Sub-second latency from block confirmation to action.
Analytics Pipelines
ETL pipelines for historical analysis, reporting, and BI. Time-series analysis, cohort analysis, protocol metrics, custom analytical queries in BigQuery, Snowflake, or PostgreSQL.
Multi-Chain Aggregation
Unified data layer that indexes from multiple chains, normalises into a common schema, and presents a single API abstracting underlying chain complexity.
How it works
Define Data Requirements — Step 1
Start from application queries, not a generic dump of every event.
01
Define Data Requirements — Step 1
Start from application queries, not a generic dump of every event.
02
Design Schema — Step 2
Optimised for the queries the product actually needs.
Design Schema — Step 2
Optimised for the queries the product actually needs.
Build Pipeline — Step 3
Indexing, event handling, reorg handling, cross-contract correlation.
03
Build Pipeline — Step 3
Indexing, event handling, reorg handling, cross-contract correlation.
04
Deploy with Monitoring — Step 4
Sync status, error rates, query latency, data freshness alerts.
Deploy with Monitoring — Step 4
Sync status, error rates, query latency, data freshness alerts.
Deliverables
What you get
- Deployed indexer or subgraph
- GraphQL or REST API for application consumption
- Monitoring dashboard (sync status, query latency, data freshness)
- Operational documentation and runbooks
The GraphAlchemyGoldskyEnvioPonderPostgreSQLClickHouseGraphQLRedis
Need on-chain data in a format your applications can actually use?
Data infrastructure isn’t glamorous, but it’s what makes blockchain products actually work. If your app is reading directly from the chain, there’s a better way.