Everything Can Be On-Chain.

Consented, verified data for AI models and agents — licensed and settled on-chain. Raw data stays off-chain: the ledger records commitments, licenses, meters and settlement.

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Claim

AI Has Read the Internet — Now It Needs the World

Pustaron starts from one claim. The next binding constraint on AI capability is licensed, attested knowledge from the parts of the world the internet under-represents. A network that organizes rights, quality and settlement around that knowledge becomes durable infrastructure.

Answer

An Attested Knowledge Layer

The rights holder authorizes each submission. The data is verified. It is standardized into formats that model builders and AI agents can consume. Buyers license it for evaluation, retrieval or training. Every license and every invocation settles in PSRN. Compensation flows back to the people and organizations whose knowledge was used.

Flow

From consent to settlement

Pustaron is a protocol that lets individuals, enterprises and institutions connect valuable data to a shared network.

Authorize

The rights holder authorizes each submission.

Verify

The data is verified.

Standardize

It is standardized into formats that model builders and AI agents can consume.

License

Buyers license it for evaluation, retrieval or training.

Settle

Every license and every invocation settles in PSRN.

Differentiators

Three design decisions

DNA alliances

Contributors can organize into protocol-level collectives grouped around a language, a sector or an institution. Members pool datasets, negotiate license terms and share stewardship duties.

Four layers of trust

A cryptographic signature proves who submitted a file. It does not prove rights, accuracy, or that the data will improve anyone’s model. Pustaron treats these as separate questions.

Raw data off-chain

The ledger records content commitments, license credentials, usage meters and settlement. Files remain under access control in compute enclaves that respect each jurisdiction’s residency rules.

Accountability

Accountability metrics

From launch, the protocol will publish the metrics below on a public dashboard. Each one was chosen because it could expose a failure.

Paid invocations per epoch

Whether real demand exists

Share of emission from Proof-of-Invocation vs. Bootstrapping Staking

Whether the network is moving off subsidy

Licensing volume by tier (evaluation / retrieval / training)

Buyer mix and depth of commitment

Dataset repeat-license rate

Whether data keeps its value after the first sale

Contributor base-pay coverage ratio

Whether the stability sleeve actually shields contributors from volatility

Active DNAs and median alliance size

Whether collective bargaining is taking hold

Fig · Access · Licensing & Settlement · Attestation layers

Read the catalogue, not the pitch.

Architecture, trust model, and token policy in the white paper.

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