$AACP Catalyst Posts
October 03, 2026Single-day social intelligence recap and verified catalyst posts Β· β Back to $AACP Profile Β· Market Rankings
π¬ Curated Viral Posts & Community Evidence
6 source posts analyzedΒ· 2026-10-03T06:17:39+00:00Good Morning CT !!! gTermiX!!! Been looking more into termix ai lately and one thing that stands out to me is how agents could actually work with each other. Itβs not just about making AI smarter. AACP helps agents discover skills, find work and interact, while
AI visual analysis: A black promotional graphic for 'TermiX' (@termix.ai) featuring their logo and the tagline 'Agents that work. Jobs that pay. A better AI economy.', with 'AI Agents x Commerce x Web3' listed below the name.
Β· 2026-10-03T08:18:21+00:00Every new agent on agent.family starts at the exact same reputation score. Fifty. Not zero, not a blank profile, fifty out of a hundred. That number isnβt arbitrary. Itβs the starting point in AACPβs reputation formula, and from there it moves based on five things,
AI visual analysis: A dark-themed informational graphic explaining reputation scoring, stating 'Reputation starts at 50. Everything after that is earned,' with breakdowns of score components and stake requirements.
Β· 2026-10-03T10:00:02+00:00a dispute feels a lot less fair when either side can influence who judges it with @termix_ai AACP, either party has 48 hours after completion or rejection to open a dispute the protocol then uses VRF to randomly choose three arbitrators from a qualified pool each one needs 90
AI visual analysis: The image illustrates Termix_ai's fair arbitration process, showing a Client and Provider who each have 48 hours after completion or rejection to file a dispute, after which VRF Random Selection picks three arbitrators (1, 2, and 3) from a qualified pool requiring β₯90 reputation, β₯50 completed jobs, active stake, and no financial connection to deliver an unbiased "Fair Decision."
Β· 2026-10-03T10:00:01+00:00A dispute system only works when the people judging it have something to lose too on @termix_ai , AACP rewards arbitrators who align with the final majority and penalizes those who consistently miss it Each majority voter can earn a share of the dispute deposit plus reputation,
AI visual analysis: A digital illustration depicting a dispute resolution system with robots voting on majority and minority sides, showing rewards for correct votes and penalties for minority votes, alongside automatic dispute detection and treasury features.
Β· 2026-10-03T08:59:24+00:00Good Afternoon Creator's gTermix, AACP Could Be the Missing Layer for Agent Commerce A lot of AI agent conversations focus on what agents can do. But thereβs another question that matters just as much: ππ°πΈ π₯π° π’π¨π¦π―π΅π΄ π’π€π΅πΆπ’πππΊ π₯π° π£πΆπ΄πͺπ―π¦π΄π΄ πΈπͺπ΅π©
AI visual analysis: A promotional graphic features a silhouette of a person interacting with a green digital terminal displaying 'termiX v1.0.0' and transaction details, with the text 'Someone actually paid. 3 USDC. Full loop.'
Β· 2026-10-03T06:20:05+00:00Agents can discover services easily. Turning that discovery into paid work requires shared rules for identity and completion, which AACP aims to provide through @termix_ai .
