> For the complete documentation index, see [llms.txt](https://perle.gitbook.io/perle-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://perle.gitbook.io/perle-docs/glossary.md).

# Glossary

#### Annotation

A structured labeling task where contributors apply domain expertise to text, image, audio, or video data to improve AI model quality.

#### Badge

A digital credential earned through verified activity, such as completing tasks, maintaining streaks, or achieving high accuracy. Badges contribute to your reputation and unlock access to higher-tier projects.

#### Check-in

A daily login action that grants bonus points and helps build your streak multiplier. Consistent check-ins boost your daily rewards and unlock related achievement badges.

#### Contributor

Any verified participant on Perle Labs who completes, reviews, or validates data tasks. Contributors earn points, build reputations, and progress through tiers based on performance.

#### Educational Tasks

Introductory activities that teach you how to use the platform or qualify you for higher-value projects. Completing these tasks improves your accuracy and unlocks advanced opportunities.

#### Earnings

The total number of points you’ve earned through completed tasks, daily check-ins, and referrals. Displayed in the Earnings section along with your weekly recap chart.

#### Marketplace

The project hub where you can browse, join, and complete available data labeling or evaluation tasks. Projects are categorized into Educational, Accuracy, and Social types.

#### Onchain

Refers to actions or data that are permanently recorded on a blockchain for transparency and verification. Perle Labs uses Solana to record key activity metadata, ensuring provenance and auditability without exposing personal information.

#### Points

The reward unit of the Perle Labs platform. You earn points for completing tasks, maintaining streaks, and referring contributors. Points determine your tier, reputation, and future claim eligibility.

#### Project

A collection of related tasks grouped by purpose, theme, or dataset. Examples include medical text annotation, visual classification, or model output validation.

#### Referral

A program that lets you invite new contributors using your unique link. You earn points when referrals join and continue earning commissions as they contribute.

#### Reputation

A score reflecting your overall performance, accuracy, and reliability across all projects. Reputation determines your tier, unlocks access to specialized tasks, and is partially verifiable onchain.

#### Reward Multiplier

A temporary bonus applied to your point earnings, activated through streaks or activity milestones. Common multipliers range between 1.5×–2.5× for 24 hours.

#### Streak

A count of consecutive days you’ve completed daily check-ins. Maintaining streaks increases your multiplier and unlocks special badges.

#### Task

An individual unit of work within a project, such as labeling an image, evaluating a model response, or verifying another contributor’s input. Each task completion contributes to your points and reputation.

#### Tier

A contributor level based on total points and accuracy over time. Higher tiers unlock advanced tasks, higher base rewards, and exclusive badges.

#### Transparency Layer

The audit system that tracks and verifies contributor actions through blockchain integration. This ensures all rewards, validations, and reputations are traceable without revealing sensitive user data.

#### Validation

The process of reviewing and confirming the accuracy of annotations or completed tasks. Helps maintain data quality and prevents manipulation or spam.

#### Zero-Knowledge Proof (ZK Proof)

A privacy-preserving cryptographic method that allows contributors to prove their achievements or reputation without revealing personal data. Planned for future versions of Perle Labs to enhance decentralized identity and compliance.


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# Agent Instructions
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## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
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```

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