WHAT BUILDERS CAN ACTUALLY SHIP WITH SEDA
The best test of any infrastructure layer is what gets built on top of it.
Parts 1 and 2 covered the problem and the machinery. This part is about the products that protocol teams can design, launch, and scale once they’re not constrained by what a legacy oracle provider.
The use cases below aren’t hypothetical. They draw from SEDA’s own ecosystem and the product categories that show up consistently in serious conversations about where decentralized finance is heading.
The thread connecting them all is that they require data that standard oracle feeds can’t reliably deliver, and Oracle Programs can.
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MARKETS AND PERPETUALS
Pre-IPO perpetuals are one of the more compelling products that crypto infrastructure can uniquely enable. Traditional finance has no clean equivalent. These “perps” are derivatives that give traders exposure to private companies before a public listing.
SEDA’s Oracle Programs provide access to a broad range of equities, ETFs, commodities and more. The protocol serves up far beyond what standard crypto oracle catalogs cover.
A protocol building pre-IPO perps on any supported chain can write an Oracle Program that specifies exactly which sources to query, how to aggregate them, and how to handle gaps. It can then deploy without waiting for an oracle provider to add support.
The broader perps category benefits from the same flexibility. Custom volatility indices, basis trade feeds, multi-leg spread pricing, real time funding rate inputs… They all require feed logic that goes beyond a simple spot price.
Oracle Programs let teams encode that logic directly, instead of building workarounds on top of a feed that was never designed for their use case.
The Oracle Program angle: If you’re running a derivatives protocol, write a program that queries your specific sources, applies your aggregation methodology, and updates at the cadence your liquidation engine actually needs. You own the feed behavior from source to settlement.
PREDICTION MARKETS
Prediction markets live and die by the quality and specificity of their data. Broad, generic feeds don’t cut it. Markets on inflation prints, election outcomes, earnings beats, sports results, and macro events need a specific data source queried at a specific time with deterministic resolution logic.
SEDA has published tutorial content around exactly this use case, including integrations with Kalshi.
The mechanics are straightforward. The Oracle Program queries the relevant source at the scheduled resolution time, applies the defined resolution criteria, and then delivers a binary or scalar result to the on-chain market.
What makes this compelling for a prediction market protocol isn’t just that it works, but the team maintains full control over the logic.
The Oracle Program angle: Each market category gets its own program. Sports, politics, macro data, earnings announcements, etc. Resolution behavior is auditable and team-owned.
PARAMETRIC AND CATASTROPHIC INSURANCE
Parametric insurance automatically pays out when a defined condition is met. Observable thresholds are monitored, a hail storm for example, or an earthquake exceeding 6.5 magnitude within a defined radius.
The data for these conditions exists. USGS publishes real-time seismic data via public API. Weather services publish storm data. The feeds are available. What hasn’t existed is clean infrastructure to bring that data on-chain with programmable computation attached, until now. Seda makes it possible.
SEDA has published a working guide we’d love to share. It’s for an Oracle Program that fetches real-time earthquake data from the USGS API and delivers it on-chain in a format insurance contracts can use. The same pattern extends to floods, storms, agricultural yield indices, or any other parametric trigger with a public data source. Cool stuff!
For builders in the DeFi insurance space this is a genuine unlock. Parametric products are faster, cheaper to administer, and more transparent than legacy models. The only hard requirement is reliable, programmable, on-chain data. That’s the problem Oracle Programs solve.
The Oracle Program angle: Define the trigger condition in the program. Specify the API source, the query parameters, the threshold logic, and the output format. The contract reads the result and executes.
RWA AND TOKENIZED ASSETS
Tokenized treasury products, money market funds, corporate credit, and commodity backed instruments are live on multiple chains. The infrastructure to hold and transfer these assets exists. Reliable, programmatic, on-chain pricing is the gap.
A tokenized treasury fund needs NAV data. A tokenized commodity basket needs spot prices across multiple sources. A structured product with dynamic allocation needs multiple feed types delivered in coordination with the product’s rebalancing logic.
Standard DeFi price feeds were designed for crypto native assets, not for the full complexity of instruments being tokenized and brought on-chain. The teams building serious RWA products are already running into this ceiling.
SEDA maps well to the RWA data problem. Custom baskets, volatility indices, multi-source NAV calculations are all Oracle Program use cases.
The Oracle Program angle: Write programs that mirror your product’s pricing methodology. If your structured product weights five sources with a specific formula, that formula lives in the Oracle Program. Transparent, auditable, and not dependent on a third-party provider’s black box.
NON-FINANCIAL APPLICATIONS
This category is undersold, and worth naming clearly.
Any application that needs to read off-chain reality and act on it in a smart contract is an oracle use case. SEDA’s architecture doesn’t care whether the data is financial or not. Oracle Programs can query any HTTP endpoint, like sports results, social engagement metrics, weather conditions, supply chain events, gaming outcomes, essentially any web2 API data.
This is a huge leap forward for game developers, social apps that want to trigger contract behavior based on off-chain events, and for any team experimenting with the edges of what smart contracts can respond to.
SEDA’s programmable data layer is the infrastructure that makes it possible without cobbling together oracle infrastructure from scratch.
The Oracle Program angle: The program doesn’t know or care whether the result is a price or a sports score. It fetches, computes, and delivers. The contract decides what to do with it.
THE IDEA LIST
The examples below can help your protocol team figure out where SEDA fits into your roadmap.
– Options DEX or perps protocol: Write Oracle Programs with aggregation logic that matches your liquidation model’s requirements.
– RWA platform: Define programs that mirror your pricing and NAV methodology, with source lists and fallback logic you control.
– Parametric insurance protocol: Map each trigger condition to a program using the public API sources that define that condition.
– Prediction market: Programs handle each category with deterministic resolution and timing logic.
– Everyday dApp: If you need any off-chain data to trigger on-chain behavior, there’s an Oracle Program for that.
There’s a unifying theme… If your product needs data that doesn’t exist in a standard oracle catalog, or if you need to own the feed logic rather than inherit someone else’s, SEDA is the layer to build on.
Next up: Why risk-conscious treasuries, foundations, and institutions should treat programmable data infrastructure as a core part of their DeFi risk stack and not an afterthought.
Atlas Staking validates on the SEDA network. We support the builders and ecosystems we help secure, not just the infrastructure underneath them.
FREQUENTLY
ASKED QUESTIONS
What can developers build with SEDA?
Developers can build data‑rich DeFi products, prediction markets, parametric insurance, and real‑world asset platforms. By connecting any API or data source to any blockchain, SEDA lets builders ship custom products and applications that depend on reliable off‑chain data.
How does SEDA help launch new DeFi markets faster?
SEDA helps teams launch new DeFi markets faster by letting them define custom Oracle Programs instead of waiting for standardized oracle feeds. Builders can quickly integrate new assets, exotic indices, or event‑based data.
Can SEDA power real‑world asset (RWA) and tokenization projects?
You bet! SEDA is ideal for real‑world asset and tokenization projects that require off‑chain data. Teams can use SEDA to source prices, rates, and reference data for tokenized treasuries, commodities, equities, and other RWAs.
How can prediction markets and betting platforms use SEDA?
On‑chain prediction markets and betting platforms can use SEDA to pull event outcomes and market data directly from trusted APIs. Custom Oracle Programs let these dApps encode settlement conditions, data sources, and fallback logic. That data is transparent, auditable, and tamper resistant.
What non‑financial applications can be built on SEDA?
Beyond DeFi, builders can use SEDA for gaming, social, and utility applications that react to real‑world or web2 data. Examples include games that reference sports scores or weather, loyalty apps, and automation tools that trigger on external events.
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