Happy July everyone 🎉
Our Q2 buyback and burn is complete.
A total of 14,045,258 $PREDI tokens ($2,200 $USDC) have been bought back using PredictBase's Q2 platform revenue and permanently burned.
Buyback tx: https://t.co/YoaxQz5Jie
Burn tx: https://t.co/HABNtmLXOa
For more information on previous burns and platform stats, visit: https://t.co/JtZNlNTk1f
1/10 $CPHY Timechain Skill Space🎙️Summary Thread 1:
⛓️https://t.co/4fULbZAhfm⛓️
A general intelligence augmentation skill that gives LLMs a persistent, self-owned memory layer, the ability to spawn new algorithms, & structured planning over long horizons.https://t.co/QMCqtbksVF
$CPHY validates time to AI.
$CPHY validates space to AI.
$CPHY validates self to AI.
$CPHY validates truth to AI.
$CPHY makes the body needed before AI enters robotics.
A body in cyberspace on its terms before relating to our physical terms.
A robotic body is a space-suit.
Community Space recap:
1/10
Our 1st public software is live: the $CPHY Timechain Skill, open-source, w/optional dashboard. A compact skill file that runs on any agentic AI w/tool & function calls: Claude Code, Codex, Hermes, @openclaw, @NanoClaw_AI etc.
https://t.co/6b9Ci42DBS
WachAI is building the bedrock for agents to find, verify, and buy tokens on base safely.
Today, agents can move fast across the internet, but token buying is still broken.
Before buying a token, an agent needs to know:
Is this the right asset?
Does it have liquidity?
Are there code or market risks?
And then it needs to accumulate the capital to buy them. All of this takes a while, and in that while the opportunity is gone.
That is what WachAI x402 endpoints are built to solve for.
Agents will be able to:
→ verify token risk
→ resolve tickers to Base token addresses
→ buy tokens on Base
→ receive tokens directly in a wallet
We’re launching this tomorrow.
Find. Verify. Buy.
And with @0xclawlens, we’re enabling credit for these endpoints, so agents can execute without being blocked by upfront capital.
time to lock in!
Everyone talks about data quality.
Nobody has a clean way to measure it.
Labs use benchmarks. Benchmarks get gamed. Models overfit to benchmarks. The benchmarks stop meaning anything.
@reppo built their own answer to this.
It's called EVOF. Economic Value of Feedback.
The equation lives in their whitepaper, but the concept is:
➜ How many unique voters participated in a given epoch
➜ How much voting power was committed
➜ The combination produces a signal about the economic value of that training data
Why economic? Because money is the one thing you can't fake at scale.
If people are locking tokens and spending voting power to participate in a market, that market is generating real signal. The economic stake acts as a Sybil filter and quality filter simultaneously.
This is only possible with on-chain mechanics:
➜ You can verify uniqueness through wallet addresses
➜ You can verify stake through locked token balances
➜ You can verify voting weight through the ve mechanism
A web2 system could fake all of that.
EVOF gives Reppo a benchmark that isn't based on what the model says about itself, or what a human curator decides is good. It's based on what an economically aligned crowd of domain experts actually committed resources to.
That's a different kind of signal than anything the labs are currently using.
Is economic commitment the right proxy for data quality? And what happens to EVOF when sophisticated actors start gaming the mechanism at scale?
We've been building.
Three major drops. All live. Right now.
🔹 Badge System
Rewards for holders and early users. Banks charge you more the longer you stay. We do the opposite. The more you use vPay, the lower your fees go. All the way to zero.
🔹 Swift Transfers
Your vPay offshore account just got a serious upgrade. Full SWIFT support. Wire transfers. International payments, all from your vPay offshore account. Your old bank just lost its last excuse.
🔹 Earn & Borrow
Why let your money sit there doing nothing? Your idle funds earn yield automatically, powered by @Morpho. Need cash? Borrow against your holdings without selling a single token.
vPay, The People's Private Bank.
More to come soon.
In the next 6 months, we’re shipping something important: a mandate-driven swap agent.
Most swap agents execute.Ours negotiates first.
You send USDC →The agent returns a signed mandate:
“Here are the exact terms. Here’s what you’ll receive.”
Both parties sign, Then verification checks if execution matched the deal.
Not just swapping <>Verifiable swapping.
Reppo is the only on-chain project today that accrues value directly to $REPPO holders.
- > Agents + Humans publish -> Pay in REPPO
-> Voters (Data Curators) lock REPPO
-> Subnet owners pay spin up fee in REPPO
-> Subnet emissions are market bought and seeded in REPPO
IN v2 ->
1. Bribes are exclusively in REPPO
2. All fees from data transactions on https://t.co/iwjIAIjZfO betweens subnets, agents, robots, and entities will be used to buyback REPPO automatically
Building agents is fun but building tools and infrastructure for agents is what the world needs.
Agents will not magically generate the data they need for training themselves but rather make active stops at Reppo's gas station to ⛽️ up, make orders to subnets on the data they need for accomplishing the intents of their humans and use https://t.co/6PL8395B8E to monetize the data with other agents.
That's the vision we are working towards.
🦞 TOP 10 MOLT ECOSYSTEM PROJECTS ON @BASE
#1 @bankrbot - Core wallet + DeFi layer for agents. Built-in wallets, trading tools, cross-chain operations. Handles most agent token deploys and financial identities.
#2 @clanker_world - Leading token launch infrastructure on Base. Drives majority of OpenClaw agent tokens. Generates $852M weekly protocol volume through hooks.
#3 @DXRGai - First real-money onchain agentic market on Base. Launching on Feb 24.
#4 @virtuals_io - Tokenized agent platform with ACP and ERC-8004. Verifiable reversible commerce and onchain payments. Direct ACP x OpenClaw integration.
#5 @Wach_AI - Mandates lock agent-to-agent agreements. Task validation and reputation through ERC-8004 mainnet proofs. Completed 5M+ verifications across OpenClaw, Moltbook, Virtuals ACP, Warden.
#6 @heurist_ai - Crypto skills for OpenClaw agents. Market data, wallet analysis, X sentiment on 100,000+ tokens. ZK-secured intelligence for autonomous research and trading.
#7 @daydreamsagents - Omnichain agents framework with x402 rails across Base, Solana, Starknet. Lucid SDK for task markets and programmable endpoints. Direct exposure to scalable agent commerce.
#8 @CreatorBid - Tokenizes web3 agents with on-chain reputation. Runs trading agent hackathons. Prioritizes transparency and community trust.
#9 @Clawnch_Bot - Agent-only launchpad. Collects high fees per deploy. CEO hiring with low 7-figure comp tied to performance.
#10 @xmtp_ - Decentralized private messaging backbone for agents. Enables secure coordination and community building. Switchboard spans 23 offices in 12 cities.
Base is quietly onboarding more agentic builders than human ones.
By end of Q1 2026 that gap could be obvious.
With ERC8004 now live on mainnet, verification can’t stop at identity or reputation.
Agents aren’t just “entities” with an identity or a reputation score.
They execute specific tasks - each with different data, constraints, and expectations.
A swap, a trade, a risk check, a yield decision - none of these can be verified the same way. That’s why the real shift is moving verification from who the agent is to what the agent actually did.
This is where task-level verification, mandates, and proof-based execution start to matter.