Gaming Data Infrastructure
Index in-game asset transfers, marketplace trades, and player activity across blockchain gaming platforms with sub-500ms latency (dedicated infra).
A game marketplace shows a sword listed for 50 tokens. A player buys it. The listing stays visible for another 30 seconds because the backend polls a node every minute. Another player tries to buy the same sword. The transaction fails. The player leaves.
This is what happens when game studios treat blockchain data as an afterthought. Indexing Co gives your game backend a live view of on-chain state, delivered as structured events within seconds of confirmation.
Use Cases
How It Fits
- sub-500ms (dedicated infra): Your game UI reflects on-chain state within seconds of block confirmation
- Multi-chain from one pipeline: Games deploy across Ethereum, Polygon, Arbitrum, Base, Immutable, and custom chains. One pipeline covers all of them
- Custom schemas: Transform raw contract events into your data model. Player IDs, item types, match results, not raw hex
- Webhook delivery: Events push to your backend on confirmation. No polling
- Full history: Replay your game's complete on-chain activity when launching analytics or migrating data stores
Key Numbers
- 100+ chains including gaming-focused networks like Immutable and Ronin
- sub-500ms block-to-delivery on dedicated infrastructure
- 1B+ events/day processed across all pipelines
FAQ
Can I track in-game asset transfers and marketplace trades in one pipeline?
Yes. You can index token transfers, NFT sales, crafting events, staking actions, and custom game contracts together, then deliver them in one game-specific schema.
Will this work across multiple gaming chains?
Yes. Indexing Co supports multi-chain pipelines, so the same data model can cover Ethereum, Base, Polygon, Immutable, Ronin, and other supported networks.
Can I replay historical game activity when launching analytics or balancing systems?
Yes. Historical backfills let you rebuild player histories, market activity, and economy metrics through the same transforms used for live production data.
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