$VOXX Asset

Applications

VOXX is suited to work that can be specified exactly, executed deterministically, and verified economically.

ScopeThese are target workload classes, not claims of deployed production applications. v0.1 ships only the transparent square demonstration.

What makes a job verifiable?

A requester must define more than a natural-language task. A production job identifies an exact program or circuit version, commits to its inputs, defines the result encoding, selects a verifier, sets a deadline, and funds a reward.

request = program_id + input_root + verifier_id
result  = result_root + beneficiary + proof
settle  = verifier(request, result) == true

The proof establishes the encoded statement. It cannot repair a vague request, a compromised verifier, incorrect source data, or an input that was never committed.

Candidate workload classes

Financial computation	Deterministic risk, portfolio, accounting, and settlement calculations whose inputs and algorithms can be committed precisely.
Data transformation	Batch filtering, aggregation, indexing, and content commitments with reproducible source inputs and output encodings.
Machine learning	Inference against a fixed model, runtime, precision policy, and input commitment. Model identity and numerical semantics must be explicit.
Optimization	Search or solver workloads where a proposed result and its constraints can be checked more cheaply than the original search.
Cryptographic work	Proof construction, signature batches, state transitions, and other deterministic workloads with a registered verification circuit.

Asset flow

Once ERC-20 settlement is implemented, a requester can choose $VOXX for an eligible job. The deposit remains locked until the verifier accepts one result or the job expires. Success credits the worker and treasury; expiry returns the full deposit.

$VOXX does not guarantee demand or yield. Its utility depends on requesters choosing it for actual jobs and workers accepting those rewards.

Poor fits

Subjective judgments without an objective acceptance rule.
Claims about real-world truth without an explicit oracle model.
Mutable programs, models, datasets, or verification keys.
Outputs whose availability is required but not enforced.
Proof costs that approach or exceed the value of the underlying job.