The chain, as a database you can actually query.
Raw chain data is unusable and your RPC is slow. We build the indexer that follows every block, decodes the events you care about, and keeps a fast database in sync, reorgs and all.
That's the head of the chain, decoded and written as it arrives. Every row is a typed record you could query a second later.
A reorg doesn't corrupt the data.
Naive indexers write the head as if it's final and break the first time the chain reorganizes. Trip one and watch the orphaned rows roll back in a transaction, then re-index on the canonical fork.
Decoded, not raw.
The chain speaks in hashed topics and packed bytes. We decode each log against the ABI into a typed row, so your app reads a transfer, not a wall of hex.
1topics[0] xddf252ad1be2c…d5b3ef // keccak("Transfer(address,address,uint256)")2topics[1] x0000…fe41b // from3topics[2] x0000…ac7d2 // to4data x000000000000000000000000000000000000000000000000000000000000 b01Transfer(2 from: x9f…e41b,3 to: x3a…c7d2,4 value: 1200000000 // 1,200 USDC (6 decimals)5)Then query it like any other database.
Once it's indexed, the chain is just tables. Pick a question, read the SQL, and get an answer in milliseconds, or point your app at the GraphQL layer.
1select pool, count(*) as swaps, sum(amount_usd) as volume2from swaps3where block_time > now() - interval '24 hours'4group by pool order by volume desc limit 3;The chain, as a database you can actually query.
Every block followed, the events you care about decoded to typed rows, reorg-safe, backfilled and live. A Postgres schema and a GraphQL layer, whichever your app speaks.