> ## Documentation Index
> Fetch the complete documentation index at: https://docs.codatta.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Incentives, Reputation & Staking

> How roles earn, how reputation boosts rewards, and how staking creates confidence.

### Roles and how they earn

| Role             | Earns from                                                   | Why they matter                         |
| ---------------- | ------------------------------------------------------------ | --------------------------------------- |
| **Contributors** | Royalty share via ownership fractions                        | Create verified knowledge units         |
| **Validators**   | Validation fees and royalty share where policy allows        | Keep quality high and fraud low         |
| **Backers**      | Share of owner returns when underwriting cohorts or datasets | Finance data creation and smooth income |
| **Buyers**       | Better models, lower upfront cost with TNPL                  | Demand side of the flywheel             |

### Reputation

A transparent score derived from **credentials**, **historical accuracy**, **volume and timeliness**, and **stake behavior**.\
The score maps to a **reward multiplier** with a safe band, for example `0.8x to 1.3x`.

### Staking for confidence

| Stake type               | Token | What it does                                               | Slashing signals                                      |
| ------------------------ | ----- | ---------------------------------------------------------- | ----------------------------------------------------- |
| **Stake on data**        | \$XNY | Acquire or boost ownership fractions of an asset or cohort | Proven inaccuracies, failed audits                    |
| **Stake on contributor** | \$XNY | Back a person or team to lift their reputation multiplier  | Systematic low accuracy, fraud, failed KYC escalation |

> Both stake types are **protocol-level**. They secure the network, align incentives, and gate premium tasks.

### Quality controls

* **Randomized checks** against ground truth, adversarial spot audits
* **AI assisted review** and **facial or KYC escalation** where policy requires
* **Dispute ladder** with bonded challenges and transparent outcomes