Assisterr x Hecto Finance: Prediction Markets AI R&D Campaign We’re exploring how AI agents can support prediction markets, perps-style research, and private market intelligence. More tech details will be provided soon. To celebrate the start of this R&D direction, we’re launching a 2.5M HECTO reward pool: Your mission: 1. Go to the Tasks section at build.assisterr.ai/dashboard 2. Get 3 steps done: - register on Hecto (500 first users only via our ref link) - app.hecto.finance/ref/0E3BCF… - share your freshly generated wallet via the form provided in tasks - get 5000 Hecto (≈7.5USDT) as your share of the reward pool About: @hectofinance - The world's first tokenized pre-IPO company index. Giving the public access to deals that never reach the public. @assisterr - AI Lab with a focus on specialized agents and their G2M; End of post.

Introducing @Laureum_ai — quality scoring for MCP servers and AI agents by @assisterr We score 6 dimensions: accuracy, safety, reliability, process quality, latency, and schema quality. Multi-judge LLM consensus adversarial probes. We've scored 28 public MCP servers to date. Average: 68.3/100. 6 in Expert tier (≥85). The weakness nobody else measures: process quality — averaging 55.5/100. Here's why we built it👇 Three gaps in agent eval today: → Marketplaces curate by hand. A major MCP catalog operator pruned 17 abandoned /vanity / impersonation entries from their own catalog earlier this month — manually. → Eval frameworks (LangSmith, Braintrust, Galileo) score tool-call correctness well. Process quality — error handling, input validation, response structure — sits between them, and nobody surfaces it as a named composite. → Post-Drift, the Solana ecosystem just launched STRIDE for smart-contract security. Agent infra still ships without pre-deploy quality gates. Laureum is the missing layer. Free right now, no signup: 1/ Quick Scan — paste any MCP server URL, get a 30-second 6-axis score → laureum.ai/evaluate 2/ Public leaderboard — see how the most-used servers rank → laureum.ai/leaderboardIf you're building, run yours. Reply with your score — we'll feature the top 5 this week. End of the tweet.

1/2 Introducing Laureum — quality scoring for MCP servers and AI agents. We score 6 dimensions: accuracy, safety, reliability, process quality, latency, and schema quality. Quick Scan— paste any MCP server URL, get a 6-axis score in 30s.→ laureum.ai/evaluate 🧵👇

We’re getting closer to launching a new product — a platform for AI agent benchmarking, skill scoring, and trust evaluation. As the number of agents grows, the harder problem becomes measuring capability, comparing performance, and making trust signals more usable. More soon. 👀 @assisterr

We’re introducing AI agent Tokenization as a Service (ATaaS) — a new core product by @assisterr for AI × Capital Markets use cases At the center of ATaaS is a new 80/20 tokenization approach powered by @MeteoraAG (DBC) program, built to fix broken market incentives. 🔹 How the 80/20 model works - 80% of tokens are automatically vested over 48 months, with a 6-month cliff - 20% of tokens are allocated to the bonding curve for initial price discovery and liquidity Vesting is enforced at the platform level — no manual intervention, no shortcuts 🔹 Why this matters - Aligns teams, users, and long-term holders - Reduces sniper-driven volatility and short-term extraction - Creates predictable supply dynamics for tokenized agents and assets - Supports sustainable, multi-cycle projects instead of launch-day speculation 🔹 What ATaaS enables - Tokenization of AI agents, digital products, and on-chain assets - Built-in monetization and market exposure - Transparent token logic and distribution rules - Scalable infrastructure for AI × Capital Markets use cases This release marks another step in Assisterr’s mission to build intelligence-native capital markets — where participation, ownership, and upside are aligned by design. build.assisterr.ai/

Assisterr introduced a service for tokenising AI agents @assisterr platform has launched AI agent Tokenisation as a Service (ATaaS) — a new core product focused on cases at the intersection of AI and capital markets. ATaaS is based on the 80/20 model — 80% of tokens are distributed gradually over 48 months with a 6-month cliff, and 20% are directed to the initial price and liquidity formation mechanism. All conditions are fixed at the platform level. According to the Assisterr team, the goal of ATaaS is to move away from short-term speculation and make tokenisation more sustainable and understandable for all participants.

You asked, I dig deep in the trenches for you legends👇 $ASRR - coin that checks all the boxes: • Under $10M MC • Based, loyal holders • Killer AI Agents x Capital Markets narrative • Built for multi-cycle longevity • Legit 100x upside potential As always DYOR and only invest what you can afford to lose