Indexed OsmosisBlockchain Data
Osmosis is the Cosmos appchain built to be the interchain's trading venue, with its automated market maker inside the protocol, so creating a pool or swapping through it is a state transition.
How to query Osmosis data with SonarX
Instant Data Share
Available todaySnowflake, and file dumps to your object storage
Query Osmosis blockchain data with plain SQL from a live database inside your own Snowflake account, populated with the indexed chain dataset. There is no pipeline to build and no second copy to store. The same dataset ships as file dumps to your own object storage for lakes and warehouses that are not Snowflake.
- Full history as a Snowflake data-share
- File dumps to S3 or your own object storage
- Real-time delivery, current to chain tip — on request
Used for:
- Analytics teams already on Snowflake that want Osmosis data beside their existing tables
- Fund accounting and treasury reporting that reconciles against a fixed history
- Cross-chain questions answered in one SQL statement instead of one query per chain
- Loading Osmosis history into BigQuery, Databricks, Redshift or a Spark lake
- Replacing a self-hosted indexer and the engineering time that keeps it running
- Serving one governed dataset to several desks without copying it per team
Realtime API
Enabled on requestREST over the indexed dataset
Query indexed Osmosis records over REST, reading the same dataset the share reads, with no warehouse in the path.
Used for:
- Applications that need one answer rather than a table scan
- Customer-facing screens where query latency is visible to a user
- Services that have no data warehouse and do not want to run one
- Prototyping against production data before committing to a share
- Backend checks that run per request instead of per batch
- Teams that want indexed Osmosis data behind their own API layer
Osmosis data: frequently asked questions
What is Osmosis?
Osmosis has produced blocks since June 2021, and it exists to be the trading venue for chains built with the Cosmos SDK, Cosmos Hub included. Validators run CometBFT under proof of stake, OSMO is the native token, and accounts are bech32 strings with an osmo prefix. What makes the chain unusual is where its exchange lives: the automated market maker is a module inside the protocol rather than a set of deployed contracts, so creating a pool, swapping through it and claiming incentives are transitions the chain performs itself. Later upgrades added concentrated-liquidity pools, where a position holds a tick range instead of a uniform share of one curve, and CosmWasm contracts beside the native modules. Two mechanisms shape the record. Emissions and liquidity incentives are handed out at a daily epoch boundary rather than continuously, and superfluid staking lets a bonded liquidity position also secure the chain, so the same capital is liquidity and stake at once. Almost every asset traded here arrived from another chain over IBC.
Osmosis data on SonarX
SonarX indexes Osmosis where the venue actually works: blocks and transactions with their typed messages, pool creation and pool state, swaps and the routes they took, liquidity positions and their lock-ups, epoch distributions, the denominations assets arrived under, and derived balances. Everything is normalized into the model SonarX uses across every network it covers, so this venue’s history compares directly with trading data from very different chains.
Full historical coverage is available today as a data-share or a file delivery. Real-time delivery is enabled on request.
How SonarX indexes Osmosis
Because the exchange is protocol state, there are no swap logs to subscribe to and the pipeline follows the module’s own transitions instead. Routing is where that bites: one swap message can cross several pools, so price impact and the liquidity that absorbed it are visible only if the whole path is kept. Concentrated-liquidity positions add a second shape, since a position is bounded by a tick range rather than by a share of a single curve, and both kinds coexist in one history. Superfluid positions are the third, because the same bonded capital counts as liquidity and as stake, so an aggregate has to say which it means.
What teams build with Osmosis data
Liquidity-provider accounting is the recurring request: fees earned, incentives received and the divergence between holding a pair and pooling it, reconstructed per position rather than read from a dashboard. Execution research is the second, since routed swaps make this chain a good record of what size actually costs. Incentive-program analysis is the third, and it is the one that most needs epoch state, because a program’s real cost is emissions per pool over time. Interchain flow work is a fourth, following assets in and out over IBC channels. DeFi analytics covers position-level work across chains, and teams comparing pooled and order-driven markets usually pull Injective into the same warehouse.
Getting Osmosis data from SonarX
Tell us the delivery target, how far back you need and how fresh it has to be, and the share is scoped against that. Osmosis coverage is provisioned on request, so tell us the history depth and the delivery target and we will scope it. Say early whether pool-level detail or account-level detail is the priority, because that shapes the backfill. The published coverage matrix for every network SonarX indexes lives in the data documentation, and the rest of the catalogue is at all indexed chains.
Is there an Osmosis data API?
APIs over indexed Osmosis data are enabled on request: the same indexed dataset the Snowflake share reads, served over REST once provisioned. Tell us the lookup pattern you need.
How do I get Osmosis data into Snowflake?
SonarX provisions a data-share into your own Snowflake account. The share appears as a database you query with SQL, so there is no pipeline to build and no second copy to store, and it stays current as SonarX advances the indexing pipeline.
How far back does Osmosis coverage go?
The historical data-share and file delivery cover the chain's recorded history from its 2021 launch forward, and are provisioned on request. Pool mechanics changed as the protocol added new pool types, so a long series has to be read with the pool model of its era in mind, and depth is confirmed when the share is scoped.
How are Osmosis pools and swaps represented in the data?
As protocol state and the messages that change it, not as contract events. A pool is an object the chain maintains, and a swap message can route across several pools in one transaction, so a trade is a path rather than a single pair. Reading it as one transfer loses both the route and the pools that supplied the liquidity.
Are Osmosis liquidity incentives visible as transactions?
Not usually. Emissions and incentive distributions happen at a daily epoch boundary as state changes performed by the protocol, so nothing that looks like a payment is signed by anyone. A yield series has to be rebuilt from epoch state, and analysis that counts only transactions will show rewards being claimed without ever seeing them accrue.
Do IBC tokens on Osmosis keep their original denomination?
No. An asset that arrives over IBC is recorded under a hashed denomination that encodes the path it took, so the same underlying token can appear under different identifiers depending on the channel it crossed. Those traces have to be resolved back to a source chain before pool balances or holder totals mean anything.