# How Does ATM Work? Bonk of America's new ATM Bot bridges the gap between Telegram, Twitter, and blockchain activity. By combining these sources, we've created a data-rich platform that gives token teams the ability to reward community members for engagement and access to our engagement data/analytics dashboards. *** ## Raid Rewards Among the most popular features is its Raid Rewards module. Raiding influencers on social media is a chore, but every community knows it needs to be done. Some people embrace working for their bags. The majority don't. For far too long, raiders have been doing memecoins' dirty work without proper remuneration. The ATM Bot has arrived to change that; and we're bringing power back to the communities from influencers and KOLs in the process. ### Tell Me More... It's never been possible to offer tokens of your appreciation (pun intended) to the valued community members who participate in your raids and promote your community's visibility day after day. Until now! ***The ATM Bot makes this a one-click process.*** There's no transaction to sign. There's no need to check who raided or pay manually. There's no fee, cut, or catch. Tokens are sent immediately from the Rewards Vault into each of your raiders' wallets, arriving within five minutes or less. ### Why Should I Want It? Because it's an incredible piece of technology built from the suggestions of experienced teams & devs. Do you want your community members to work for their bags? Or to toil away as slaves, forever unpaid, doing your bidding on command? Are you building a community? Or a forced-labor camp? The ATM Bot is your interface to this data. --- # Agent Instructions: 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: ``` GET https://help.bonkfa.com/how-does-atm-work.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.