# Kaching > Losing is for winners. Kaching is an on-chain crypto lottery on Aptos that uses verifiable randomness for transparent draws and pays rewards from a treasury-backed USDC pool. Kaching is an on-chain lottery platform built on the Aptos blockchain, developed by Xyra Labs in partnership with KGen Protocol. Users purchase tickets for daily and weekly draws using supported tokens, with results determined by Aptos-native verifiable randomness. Prizes are distributed from a treasury-backed USDC reward pool. The platform also publishes lottery news and results coverage for traditional lotteries worldwide. - Type: Project - Sector: Gaming - Status: Active - Founded: 2025-05-01 - Profile: https://thegrid.id/profiles/kaching ## Products - [Kaching Lottery](https://thegrid.id/profiles/kaching): Kaching Lottery is an on-chain crypto lottery platform deployed on the Aptos blockchain. Users purchase tickets using supported tokens for daily and weekly draw cycles. Draw outcomes are determined through Aptos-native verifiable randomness, and prizes are paid from a treasury-backed USDC reward pool. The platform records all draw results and ticket purchases on-chain for transparency and auditability. (Gambling/Casino, Live, Main Product) ## Links - [Main](https://kaching.vip) - [Blog](https://kaching.vip/blog) - [Documentation](https://kaching.vip/faqs) - [Terms of Service](https://kaching.vip/terms-and-conditions) - [Telegram](https://t.me/KachingChat) - [Twitter / X](https://x.com/kachingvip) ## Legal This data is provided under two licensing models. Model 1 - open data. The open data core is licensed under the Open Database License (ODbL) — a copyleft/share-alike license allowing free use, modification, and sharing for any purpose. Attribution is required: include "Powered by The Grid" linking to https://thegrid.id wherever the data is used. Derivative databases must be shared under ODbL terms. Trademarks, logos, and brand names (marked "Special TPIP") are not covered by the ODbL. For ML/AI use: training datasets that substantially extract ODbL data are Derivative Databases and must be shared under ODbL if publicly used; models must be attributed in documentation. Model 2 - commercial licenses. The Grid Data Service (TGDS) is also available as a commercial license. See [Web Services Terms](https://about.thegrid.id/legal/web-services-terms) for commercial use that is not covered by the open data service. The following applies to both licensing models. - All data is provided AS IS with no guarantees of accuracy. - The Grid does not provide investment, legal, or tax advice, and - a project's presence in The Grid's data does not imply endorsement. - [Data Licensing & Disclaimers](https://about.thegrid.id/legal/data-licensing-and-disclaimers): Licensing models and disclaimers - [Open Data (ODbL)](https://about.thegrid.id/legal/open-data): Open Database License terms and scope for The Grid's open data service. - [Attribution Guidelines](https://about.thegrid.id/legal/open-data-attribution-guidelines): How to attribute The Grid's data when using the open data service. - [Web Services Terms](https://about.thegrid.id/legal/web-services-terms): commercial Terms for using data services. - [All Legal Documents](https://about.thegrid.id/legal): Full index of terms, policies, and disclosures ## Optional - [TGS Field Descriptions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-field-descriptions.md): Schema field definitions for The Grid's data model - [TGS JSON Structure](https://github.com/The-Grid-Data/workspace-public/blob/main/references/tgs-json-structure.md): Data model structure and relationships - [Product Type Definitions](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-definitions.md): Definitions for each product type - [Product Type Classification](https://github.com/The-Grid-Data/workspace-public/blob/main/references/product-type-classification.md): Guide for classifying products into types - [Grid MCP Guide](https://github.com/The-Grid-Data/workspace-public/blob/main/grid-search/skills/grid-query/references/grid-mcp-guide.md): How to query The Grid programmatically via MCP