Custom Programs

TDX also supports custom dataset programs for participants with specialized trust-data requirements. Unlike predefined dataset templates, these programs operate on demand — Tythe dynamically constructs dataset pools once specifications are submitted and verified.

Each custom dataset is built from verified credibility data across humans, organizations, and AI agents. Participants can define parameters such as sample size, data scope, metric focus, and privacy mode.

Tythe’s validation network then compiles a live dataset pool matching those parameters, ensuring both data integrity and contributor verification.


Program Tracks

Program
Ideal For
Sample Scale
Dataset Creation
Update Cadence

Startup Program

Builders, startups, and research teams

x100 units (granular)

On-demand (live pool)

Daily → Weekly

Enterprise Program

Enterprises, institutions, AI networks

×1 000 000 units (mass)

On-demand (enterprise pool)

Monthly → Quarterly


Data Configuration Options

Participants can customize:

  • Metric Scope: Finance, Governance, Security, Compliance, Sustainability

  • Data Mode: Anonymized or Non-Anonymized (with tiered payout ratios)

  • Update Cadence: Daily to quarterly refreshes

  • Distribution Model: One-time dataset export or recurring subscription

  • Verification Layer: Optionally include zk-proof bundles or DISC Reports per entry


Lifecycle

  1. Submit Request → Define sample size, metric scope, and data mode.

  2. Validation Phase → Tythe confirms contributor eligibility and verification tiers.

  3. Pool Generation → Dataset pool is assembled live from network-verified participants.

  4. Delivery → Datasets made accessible via secure dashboard or scheduled updates.

  5. Incentive Distribution → Payments divided among contributors; Tythe retains 3% marketplace fee.


Purpose

The Custom Programs framework ensures that both emerging builders and global institutions can harness the same trust dataset infrastructure — scaled precisely to their needs, priced transparently, and built securely on verified credibility data.


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