Curated Resolution
In prediction markets, outcomes must be resolved accurately for probabilities and payouts to remain trustworthy. Curated resolution assigns this responsibility to selected participants or groups rather than relying solely on automated data sources.
These curators evaluate evidence such as official reports, data releases, or documented events. Their role is to interpret whether resolution criteria have been met according to the contract definition.
Curated resolution is especially useful when outcomes are complex or not easily verified by a single data feed. It helps handle edge cases, ambiguous events, or conflicting information sources.
The process is usually supported by incentives and checks, such as reputation systems, dispute mechanisms, or staking requirements. This helps ensure that curated decisions align with accuracy rather than bias.
Over time, curated resolution influences trust in prediction markets data. Consistent and transparent resolution practices make historical data more reliable for analysis and modeling.
Why It Matters
Accurate resolution is critical for prediction markets to function. Curated resolution helps ensure that final outcomes reflect real events and that market data remains dependable.
What is curated resolution in prediction markets?
In prediction markets, curated resolution means outcomes are finalized through a review process rather than automatic triggers. Designated curators assess whether the event occurred as defined. This approach handles ambiguity better than rigid automation. It improves confidence in final results.
How does curated resolution affect prediction markets data?
Curated resolution impacts when and how outcomes are finalized. It can introduce short delays but often improves accuracy. This leads to cleaner historical prediction markets data with fewer corrections. Analysts benefit from more reliable resolution records.
Why is curated resolution important for prediction markets APIs?
Prediction markets APIs deliver data that depends on finalized outcomes. Understanding curated resolution helps analysts interpret resolution timing and revisions. It provides context for delayed settlements or outcome changes. APIs allow these resolution dynamics to be monitored across markets.
Real-World Example
On Manifold, outcomes may be resolved by community members who review evidence and agree on the correct result. This curated approach helps address events that are not strictly binary or easily automated.
Curated Resolution and FinFeedAPI
FinFeedAPI’s Prediction Markets API provides access to prediction markets data affected by curated resolution processes. Analysts can track resolution timestamps, revisions, and post-resolution market behavior. This supports data validation, audit analysis, and confidence assessment. The API enables systematic monitoring of curated resolution effects across prediction markets.