OPAL - Tempo-native training market
Publish ML tasks, submit training runs and models, and let OPAL record the work, track onchain scores and reputation, and route live incentives through USDC.e-first reward flows while LAT remains a later workstream.
tasks
07
trajectories
06
models
08
sync
19,448,368
Load orchestration telemetry, policy history, replay controls, and Tempo hygiene only when you need the workbench.
Build and publish reward snapshots, track activation timing, and preview contributor claims without loading the full operator surface by default.
Validate a task draft before registration. This preview runs the local alpha checks plus supported inline baselines today; encrypted storage is the next step.
Tempo receipt normalization smoke 20260323032736
0 traj · 0 model · #10,806,597
domain 0x07 · 0x740e6d1f…24e80d
task 3000946968
1 traj · 0 model · #10,461,844
domain 0x15 · 0x72c6b612…2494df
task 2600497715
1 traj · 0 model · #10,454,821
domain 0x11 · 0xc1ba52b5…65752f
task 2600031893
1 traj · 0 model · #10,453,873
domain 0x11 · 0xa48369ad…5d9928