Skip to content
opal / usdc.e-first / offline

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

00

trajectories

00

models

00

sync

n/a

idea foundry ops on demand

Load orchestration telemetry, policy history, replay controls, and Tempo hygiene only when you need the workbench.
rewards ops usdc.e

Build and publish reward snapshots, track activation timing, and preview contributor claims without loading the full operator surface by default.
task factory alpha preview first

Validate a task draft before registration. This preview runs the local alpha checks plus supported inline baselines today; encrypted storage is the next step.

Preview runs local validation plus the safe baseline runner. Submit reuses the same validated draft.

preview waiting
Validate a draft to see checks, extracted hints, and projected reward here.
tasks 0

recent tasks unavailable right now

models 0

recent models unavailable right now

pending just now 0 writes / 0s