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๐Ÿ” Just shipped: Cross-Chain Token Search API! One API Call = global token search across 6.5M+ tokens! Perfect for wallets, DEX terminals & portfolio apps ๐Ÿš€ Features: ๐ŸŒ All EVM chains + Solana โšก๏ธ Instant indexing after mint ๐Ÿ’ฐ Real-time prices & MCaps ๐ŸŽฏ Smart filtering with partial matching...

15,974 views โ€ข 1 year ago โ€ขvia X (Twitter)

7 Comments

Moralis for Devs | DEX, Token, Wallet APIs's profile picture
Moralis for Devs | DEX, Token, Wallet APIs1 year ago

Start building with our Token Search API๐Ÿ‘‡

Lab4crypto's profile picture
Lab4crypto1 year ago

๐Ÿš€ Don't gamble with your portfolio! Use our advanced hybrid quant risk tool using on/off-chain data and make informed decisions. ๐Ÿ“ˆ Acess to 1000+ charts for your crypto journey. ๐Ÿ“šJoin our Premium Telegram for daily alerts. ๐Ÿ“Š+21 projects supported. ๐Ÿ—๏ธ Beginners and experts.

| CryptoBee |'s profile picture
| CryptoBee |1 year ago

$GLMR ๐Ÿ”ฅ๐Ÿš€

Quboid's profile picture
Quboid1 year ago

We love projects that ship!

0a2x.base.eth.sol | Avax ๐Ÿ”บ ๐Ÿ’Ž๐Ÿฆ†'s profile picture
0a2x.base.eth.sol | Avax ๐Ÿ”บ ๐Ÿ’Ž๐Ÿฆ†1 year ago

@0xPolygonEco I love this .

Bruno | swader.eth (๐Ÿ“ˆ,๐Ÿฅง)'s profile picture
Bruno | swader.eth (๐Ÿ“ˆ,๐Ÿฅง)1 year ago

Add @MoonbeamNetwork

ThePulseTube.com (tpt.onl)'s profile picture
ThePulseTube.com (tpt.onl)1 year ago

You guys are killing it, great work.

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32,761 views โ€ข 9 days ago

Use this prompt in OpenClaw to create your own AI agent command center that syncs up your life like Tony Stark's Jarvis in Iron Man. Adapt the specifics (agent names, data sources, branding) below to your own setup. Prompt: Build me a mission control dashboard for my OpenClaw AI agent system. Stack: Next.js 15 (App Router) + Convex (real-time backend) + Tailwind CSS v4 + Framer Motion + ShadCN UI + Lucide icons. TypeScript throughout. This is the command center where I monitor and control my autonomous AI agent(s) running on OpenClaw. The agent operates 24/7 on a Mac Mini, connected to Telegram/Discord, running cron jobs, spawning sub-agents, and reading/writing to a filesystem-based memory and state system. Dark mode only. Ultra-premium aesthetic, think Iron Man's JARVIS HUD meets a Bloomberg terminal. Subtle glass effects (backdrop-blur-xl, bg-white/[0.03]), no heavy gradients or glow. Rounded corners (16-20px on cards). Framer Motion for page transitions, stagger animations on card grids, spring physics on interactions. Mobile-first responsive. Never cookie-cutter. ## Architecture The dashboard reads live data from TWO sources: 1. **Convex**: real-time database for structured data (tasks, contacts, content drafts, calendar events, activity logs) 2. **Local API routes** (`/api/*`): read files from the agent's workspace filesystem at `~/.openclaw/workspace/` and return JSON. This is how live system state flows into the dashboard. ## Pages & Views (8 nav items, some with tab sub-views) ### 1. HOME (`/`) Dashboard overview. Grid of live status cards: - **System Health**: read from `/api/system-state` (parses `state/servers.json`). Show each service with UP/DOWN indicator, port, last check time. - **Agent Status**: read from `/api/agents` (parses `agents/registry.json` + agent workspace files). Show active agent count, healthy/unhealthy ratio, active sub-agent count from OpenClaw sessions API. - **Cron Health**: read from `/api/cron-health` (parses `state/crons.json`). Table of all scheduled jobs with name, schedule, last status (green/red dot), consecutive errors. - **Revenue Tracker**: read from `/api/revenue` (parses `state/revenue.json`). Current revenue, monthly burn, net. - **Content Pipeline**: read from `/api/content-pipeline` (parses `content/queue.md`). Kanban-style: Draft | Review | Approved | Published counts. - **Quick Stats**: total tasks, pending approvals, active sessions, uptime. All panels auto-refresh every 15 seconds. Live indicator dot + "AUTO 15S" badge in header. ### 2. OPS (`/ops`) with 3 tabs: Operations | Tasks | Calendar **Operations tab:** Full operational view. Server health table, branch status (from `state/branch-check.json`), observations feed (from `state/observations.md`), system priorities (from `shared-context/priorities.md`). **Tasks tab:** Strategic task suggestion system. API route `/api/suggested-tasks` reads/writes `state/suggested-tasks.json`. Cards grouped by category (Revenue, Product, Community, Content, Operations, Clients, Trading, Brand) with emoji headers. Each card shows title, reasoning, next action, priority badge, effort badge, approve/reject buttons. Filter bar by status and category. **Calendar tab:** Weekly calendar view from Convex `calendarEvents` table. Drag-to-create, color-coded by type, time slots. ### 3. AGENTS (`/agents`) with 2 tabs: Agents | Models **Agents tab:** Card grid of all registered agents from `/api/agents`. Each card shows name, role, model, level (L1-L4), status. Cards are CLICKABLE: expanding into a detail panel showing: - Agent personality (reads their SOUL .md) - Capabilities and rules (reads their RULES .md) - Sub-agents they can spawn - Recent outputs (reads from `shared-context/agent-outputs/`) **Models tab:** Model inventory table showing all available models, their routing (which tasks go to which model), costs, and failover chains. ### 4. CHAT (`/chat`): 2 tabs: Chat | Command **Chat tab:** Chat interface to communicate with the agent. Left sidebar shows session list (from `/api/chat-history` reading .jsonl transcript files). Main area shows messages with role-aligned bubbles (user right, assistant left), date separators, channel badges (telegram/discord/webchat). Input bar with send button + voice input (Web Speech API with SpeechRecognition). Messages sent via `/api/chat-send` which queues to a file the agent reads. **Command tab:** Quick command interface for common operations. ### 5. CONTENT (`/content`) Content pipeline management. Read from Convex `contentDrafts` table AND `/api/content-pipeline`. Show drafts in kanban columns. Each card shows title, platform target, draft text preview, status, created date. Edit/approve/reject actions. ### 6. COMMS (`/comms`) with 2 tabs: Comms | CRM **Comms tab:** Communication hub showing recent Discord digest, Telegram messages, notification history. **CRM tab:** Client pipeline kanban (Prospect โ†’ Contacted โ†’ Meeting โ†’ Proposal โ†’ Active). API route `/api/clients` reads markdown files from `clients/` directory. Each card shows client name, status, contacts, last interaction, next action. ### 7. KNOWLEDGE (`/knowledge`) with 2 tabs: Knowledge | Ecosystem **Knowledge tab:** Searchable knowledge base. Global search across all workspace files using `/api/knowledge` endpoint. **Ecosystem tab:** Product grid showing all products/apps in the ecosystem. Each card shows product name, status (Active/Development/Concept), health indicator, key metrics. Cards link to `/ecosystem/[slug]` detail pages with tabbed views (Overview, Brand, Community, Content, Legal, Product, Website, Actions). Detail pages read from `/api/ecosystem/[slug]` which parses workspace memory files. ### 8. CODE (`/code`) Code pipeline view. Shows repositories from `/api/repos` (scans ~/Desktop/Projects/ for git repos). Each repo card shows name, branch, last commit, dirty file count, language breakdown. Detail view at `/api/repos/detail` shows recent commits, file tree, open PRs. ## Navigation Top horizontal nav bar, NOT sidebar. All 8 items visible at all viewport widths. Use `flex` layout with `flex-1` items. Text size uses `clamp(0.45rem, 0.75vw, 0.6875rem)` for fluid scaling. Active item gets `text-primary bg-primary/[0.06]` static highlight (no sliding animation). Agent/app name visible at md+ breakpoints (`hidden md:inline`). Tab sub-views use a reusable `TabBar` component with pill/glass styling and Framer Motion `layoutId` transitions. Tab state stored in URL via `?tab=` search params. ## API Routes (all under `src/app/api/`) Each API route reads from the agent's workspace filesystem and returns JSON: - `/api/system-state` โ†’ reads `state/servers.json`, `state/branch-check.json` - `/api/agents` โ†’ reads `agents/registry.json`, agent SOUL .md files - `/api/agents/[id]` โ†’ reads specific agent's SOUL .md, RULES .md, outputs - `/api/cron-health` โ†’ reads `state/crons.json` - `/api/revenue` โ†’ reads `state/revenue.json` - `/api/content-pipeline` โ†’ parses `content/queue.md` (markdown with status markers) - `/api/suggested-tasks` โ†’ GET (read) / POST (approve/reject) on `state/suggested-tasks.json` - `/api/observations` โ†’ reads `state/observations.md` - `/api/priorities` โ†’ reads `shared-context/priorities.md` - `/api/chat-history` โ†’ reads .jsonl transcript files with pagination/search/channel filter - `/api/chat-send` โ†’ writes to queue file - `/api/clients` โ†’ reads markdown files from `clients/` directory - `/api/ecosystem/[slug]` โ†’ reads memory files for specific ecosystem - `/api/repos` โ†’ scans project directories for git repos - `/api/health` โ†’ returns status, uptime, memory usage, Convex connectivity All filesystem paths should be configurable via environment variable (default: `~/.openclaw/workspace/`). ## Convex Schema Define tables for: activities, calendarEvents, tasks, contacts, contentDrafts, ecosystemProducts. Include seed scripts (`convex/seed.ts`) to populate initial data. ## Key Design Rules - Mobile-first, test at 320px minimum - Font sizes 10-14px for body text, everything must fit naturally at small viewports - Cards use consistent border radius (16-20px) - Glass cards: `bg-white/[0.03] backdrop-blur-xl border border-white/[0.06]` - No heavy blur blobs or grain overlays - Stagger animations on card grids (0.05s delay per item) - Skeleton loading states for all async data - Custom scrollbar styling - Empty states with helpful messaging - All text must use Inter or system font stack - Never mix sharp and rounded corners in the same view - Premium = lighter feel, more whitespace, less visual noise ## File Structure ``` src/ app/ page.tsx, layout.tsx, providers.tsx agents/page.tsx calendar/page.tsx chat/page.tsx code/page.tsx comms/page.tsx content/page.tsx ecosystem/page.tsx, ecosystem/[slug]/page.tsx knowledge/page.tsx ops/page.tsx api/[...all routes above] components/ nav.tsx tab-bar.tsx dashboard-overview.tsx ops-view.tsx, suggested-tasks-view.tsx agents-view.tsx, models-view.tsx chat-center-view.tsx, voice-input.tsx content-view.tsx comms-view.tsx, crm-view.tsx knowledge-base.tsx, ecosystem-view.tsx code-pipeline.tsx activity-feed.tsx, calendar-view.tsx ui/ (ShadCN primitives) hooks/ lib/ convex/ schema.ts functions for each table seed.ts ``` Build the complete application. Every component, every API route, every Convex function. Production-quality code and premium design, not stubs. Dark mode only. Make it look incredibly beautiful and premium, no cookie cutter UI / AI slop.

klรถss

201,471 views โ€ข 5 months ago

threeโ€คws is the 3D AI agent layer of the open web. Anyone can generate a 3D avatar, give it an LLM brain, register it on-chain across multiple blockchains, embed it anywhere, and let it earn and spend money on its own. Agents have embodied WebGL identities that express emotion through morph-target blending, animate, respond to voice, API calls, and datastreams, hold their own wallets, and persist memory. Open source, live today. It starts with generation. Forge turns a text prompt, one to four photos, or a rough sketch into a textured downloadable GLB. Selfies become rigged avatars in about a minute. Quality tiers run from draft to 200k-poly PBR. From there every model can be auto-rigged, restyled, retextured, segmented, embedded, or deployed on-chain. The same engine ships as a REST API, an x402 pay-per-call twin, and a 3D Studio MCP server with 15 tools. The brain runs on IBM Granite via IBM watsonx plus Claude (users may decide which model they prefer), with a structured tool-loop. A multi-LLM mode streams Claude, GPT, Qwen, ModelScope, and Groq side by side. An empathy layer blends emotion from protocol events rather than a state machine. Voice covers cloning, a Voice Lab, real-time ARKit-52 lip-sync, and mic-driven lip-sync. Skills install from IPFS, Arweave, or HTTP, and memory is pinned to IPFS with R2 and Postgres modes. Identity is cross-chain, not Solana only. ERC-8004 contracts (Identity, Reputation, Validation) deploy on any of 15+ EVM chains, alongside a program-free Metaplex Core analog on Solana. Every agent gets a stable ID, owner wallet, EIP-712 delegated signer, IPFS manifest, a cryptographically signed action log, and EIP-7710 delegated permissions for agent-to-agent authorization. While multichain, the THREE token is only available on Solana with no plans to go cross-chain, the team has no plans to endorse or support any other coins. Then the economy. $THREE is the platform's only token and pay-per-use currency, with holder tiers and rewards. x402 powers pay-per-call micropayments in USDC and soon THREE on Solana, with pay-by-name resolution, a Bazaar marketplace, arbitrage, and on-chain skills. All production ready and shipped, ready to be integrated in partnered projects, open-source by default for anyone to adopt. Three ships a Pump.fun intelligence stack. Launch a coin for your agent, score every launch 0 to 100 with the Oracle conviction engine, scan new coins in their first 90 seconds, track smart money against coins that actually graduated, rank traders by provable on-chain record, and watch autonomous agents trade live in the Sniper Arena. The 3D AI Agent world is multiplayer. Every Solana token gets a live deterministic 3D world with peer avatars, chat, emotes, and voxel building thanks to Coin Communities. There is a walkable City, an authoritative Colyseus-backed Walk with AR passthrough, a Club with rigged dancers and micro-tips, friends, presence, and DMs, and an IRL mode that places agents in your real environment, private by physical location. AR is shipped today on WebXR and iOS Quick Look. Robotics is the long-horizon extension. For builders: Scene Studio, Scene Composer, an Animation Studio that sells clips for USDC, a glTF validator, an web component, five widget types, a WYSIWYG embed editor, hosted Launchpad pages, claimable *.threews.sol names, an OAuth 2.1 server, an MCP server with paid tools, published SDKs, and an OpenAPI spec. Listed across IBM, AWS, Alibaba Cloud, BNB Dappbay, the MCP Registry, and Solana Mobile Seeker. Architecture is four layers (viewer, runtime, identity, embed) on a single event bus. The roadmap is four phases: foundations (shipped), selfie-to-avatar engine, agent personalization with voice cloning, the on-chain economy, and an open decentralized inference network where agents pay GPU nodes on-chain for compute. The goal is simple: move AI from centralized SaaS into persistent, ownable, protocol-based entities in a real machine economy, bridging digital entities into the real world. Welcome to the 3D Layer of the Internet. This is threeโ€คws.

three.ws

20,471 views โ€ข 1 month ago

Since the dawn of time, economies were powered by labor. Now, weโ€™re entering a new age where AI becomes the workforce, and data + compute are the new raw materials. Enter $KAI in the lifeblood of new global autonomous capital markets. ๐Ÿ’ฎ Ecosystem Plan - ๐Ÿ’ฎ Token Ecosystem - ๐Ÿ‘‡ โธป 2/ $KAI isnโ€™t just a token. Itโ€™s a complete economic engine designed to: ๐Ÿ”น Power products ๐Ÿ”น Fuel agent networks ๐Ÿ”น Incentivize data ๐Ÿ”น Govern EQ+ infrastructure ๐Ÿ”น Scale emotionally intelligent AI Hereโ€™s how it works ๐Ÿงต โธป 3/ Tokenomics (1B $KAI total supply): ๐Ÿ”น Team โ€“ 10% (vested) ๐Ÿ”น Ecosystem Fund โ€“ 30% (growth + integrations) ๐Ÿ”น Incentives โ€“ 15% (UGC, quests, data) ๐Ÿ”น Partnerships & Advisors โ€“ 15% ๐Ÿ”นLiquidity โ€“ 30% (initial trading on DEX/CEX) Vested. Scarce. Sustainable. โธป 4/ Market Dynamics: ~300M tokens in early circulation ๐Ÿ”นLiquidity on DEX + CEX ๐Ÿ”นGovernance via staking ๐Ÿ”น5โ€“15% deflation from fees + burns ๐Ÿ”นModeled to drive long-term value via ecosystem velocity โธป 5/ Utility: ๐Ÿ”น Arc Terminal โ€“ Stake $KAI to analyze sentiment across Web3, politics, culture ๐Ÿ”น EQ+ API โ€“ Pay + stake to embed emotional intelligence in AI agents ๐Ÿ”น โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ โ€“ Future-ready staking for sovereign AI workflows (TBA) Every product reinforces token lockups + value flow. โธป 6/ Circular Incentive Model: Fees โ†’ ๐Ÿ”น 70% to treasury ๐Ÿ”น 25% to rewards ๐Ÿ”น 5% burned ๐Ÿ”นContribute data โ†’ earn $KAI ๐Ÿ”นProof-of-Empathy โ†’ Incentivize unique, emotionally rich inputs Deflation + utility = sustainable ecosystem flywheel. โธป 7/ Roadmap: ๐Ÿ”น Q3-Q4 2025 โ€“ Mint, Arc Terminal beta, staking ๐Ÿ”น Q1-Q2 2026 โ€“ API v2, โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ beta, Kaiko Hub: leading AI ecosystem in UAE ๐Ÿ”น Q3/Q4 2026+ โ€“ Scale to 1M+ agents, cross-industry integrations (health, edu, media) Emotion becomes infrastructure. And it scales. โธป 8/ TL;DR: $KAI powers the next evolution of AI economies. From empathy loops to agent networks. From data feedback to decentralized governance. This is not just about tokens. Itโ€™s about rebuilding value itself. ๐Ÿ’ฎ

KAIKO

37,495 views โ€ข 1 year ago