Coinranking
AI coins
2,088 coins #27 Page 11| | Coins | | | ||
|---|---|---|---|---|---|
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| The coins below are ranked lower due to missing data. Learn more | |||||
| | 501 |  Batching.AI BATCH | $ | -41.57%  | |
| | 502 |  R6D9 by Virtuals R6D9 | $ | +0.97%  | |
| | 503 |  Stabledoc SDT | $ | -0.32%  | |
| | 504 |  Bitgrit BGR | $ | -7.65%  | |
| | 505 |  Functionland Fula FULA | $ | +16.91%  | |
| | 506 |  PrivateAI.com PGPT | $ | +2.16%  | |
| | 507 |  Degenerate SQuiD by Virtuals SQDGN | $ | +2.17%  | |
| | 508 |  MOSS MOSS | $ | -11.46%  | |
| | 509 |  CRT AI NETWORK CRTAI | $ | +0.60%  | |
| | 510 |  Super Anon ANON | $ | -5.47%  | |
| | 511 |  Flagship by Virtuals FYI | $ | +5.32%  | |
| | 512 |  Finanx AI FNXAI | $ | -1.59%  | |
| | 513 |  Silencio SLC | $ | +10.22%  | |
| | 514 |  Bitkin BITK | $ | +2.72%  | |
| | 515 |  Predi by Virtuals PREDI | $ | -8.87%  | |
| | 516 |  Flyte AI by Virtuals FLYTE | $ | +0.74%  | |
| | 517 |  OpenClaw OPENCLAW | $ | +0.44%  | |
| | 518 |  0xGen XGN | $ | -15.76%  | |
| | 519 |  Locksley LOCK | $ | +90.44%  | |
| | 520 |  AthenaX9 AiX9 | $ | -0.30%  | |
| | 521 |  Ranger AI RANGER | $ | +81.49%  | |
| | 522 |  DeepSeek SEEK | $ | +0.82%  | |
| | 523 |  The Singularity Singularity | $ | -4.18%  | |
| | 524 |  ASYNCHRONUS by Virtuals ASYNC | $ | +2.07%  | |
| | 525 |  Native NATIVE | $ | -1.10%  | |
| | 526 |  Momo MOMO | $ | -1.92%  | |
| | 527 |  cliza CLIZA | $ | -0.18%  | |
| | 528 |  Mind-AI MA | $ | +2.06%  | |
| | 529 |  MEME AI MEMEAI | $ | +3.08%  | |
| | 530 |  Zoof Wallet by Virtuals ZOOF | $ | -1.53%  | |
| | 531 |  CryptoGPT Token GPT | $ | +3.46%  | |
| | 532 |  Global DePIN Chain DEEPSEEK | $ | -0.47%  | |
| | 533 |  Workloop AI LOOP | $ | +0.11%  | |
| | 534 |  Cirus Foundation CIRUS | $ | +0.00%  | |
| | 535 |  sparkleware SPARKLE | $ | -18.38%  | |
| | 536 |  Imagine AI IMGNAI | $ | +14.50%  | |
| | 537 |  Lurky LURKY | $ | -0.49%  | |
| | 538 |  AGIXBT by Virtuals AGIXBT | $ | -1.69%  | |
| | 539 |  Pankito PAN | $ | -0.00%  | |
| | 540 |  BRACKY BRACKY | $ | -0.22%  | |
| | 541 |  BankrX BNXR | $ | +3.68%  | |
| | 542 |  whim.bet by Virtuals WHIM | $ | +2.00%  | |
| | 543 |  CZ-9000 CZ9K | $ | -1.23%  | |
| | 544 |  NeurochainAI NCN | $ | -3.84%  | |
| | 545 |  Yuku DAO YUKU | $ | -3.10%  | |
| | 546 |  MachineFi MACHINEFI | $ | -19.50%  | |
| | 547 |  StarkBot STARKBOT | $ | -1.14%  | |
| | 548 |  AIFlow Token AFT | $ | -1.07%  | |
| | 549 |  Brain Sensor Technology Token BSTT | $ | -0.00%  | |
| | 550 |  Wallitelli WALLI | $ | +13.48%  | |
Trending AI coins
| Coins | Live Price | 24h | |
|---|---|---|---|
| |  Injective Protocol INJ | $ | -2.93%  |
| |  Akash AKT | $ | +1.03%  |
| |  Oraichain Token ORAI | $ | +6.99%  |
| |  iExec RLC RLC | $ | +0.67%  |
| |  Virtuals Protocol VIRTUAL | $ | -1.89%  |
Top Gainers
| Coins | | | |||
|---|---|---|---|---|---|
| |  SKYAI SKYAI | $ | +2.74%  | ||
| |  Immunefi IMU | $ | +41.80%  | ||
| |  QAIT QAIT | $ | +36.02%  | ||
| |  LAB LAB | $ | +21.56%  | ||
| |  LinqAI LNQ | $ | +18.48%  | ||
| All Gainers | |||||
Market Cap
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What is an AI token?
AI tokens are cryptocurrencies that embed artificial-intelligence models, data sets, or services into their core logic.
They power decentralized marketplaces for models, generative-media engines, predictive agents, and on-chain data analytics while using the token for payments, governance, or access rights.
ChatGPT’s late-2022 breakout—and Microsoft’s $10 B OpenAI round—sparked a 75 %-plus rally in early AI tokens, pushing the sector’s market cap past $1.6 B in February 2023.
Quick Facts
- Purpose: Pay for AI inference, training data, agent services; govern AI protocols.
- Utility: Buy GPU compute, query generative models, vote on model upgrades, stake for data quality.
- Chains/Platforms: Ethereum, BSC, Cardano, Fetch.ai native, Ocean Protocol, SingularityNET.
- Pricing: Market-driven; hype cycles tied to AI breakthrough headlines.
- Supply: Usually capped; inflation via mining/mentoring rewards (FET, AGIX).
Top AI Tokens (Live Examples)
| Token | Ticker | AI Focus | 2024 Utility Highlights |
|---|---|---|---|
| SingularityNET | AGIX | Decentralized AI marketplace | Buy/sell models, staking for API calls. |
| Fetch.ai | FET | Autonomous economic agents | Deploy IoT bots, pay for data feeds. |
| Ocean Protocol | OCEAN | Data marketplace | Monetise datasets for model training. |
| Numerai | NMR | AI hedge-fund signals | Stake predictions, earn for accuracy. |
| Alethea AI | ALI | Generative AI & NFTs | Create CharacterGPT NPCs, upgrade NFTs. |
| Cortex | CTXC | On-chain AI inference | Upload AI models to smart contracts. |
How It Works
- Protocol mints token → used as medium of exchange for AI services.
- Developers/Providers stake tokens to list models or datasets.
- Users pay per query (text, image, prediction) in the native token.
- Decentralised GPU or data miners earn tokens for supplying resources.
- Governance votes decide which models or data sources are whitelisted.
Benefits
- Cheaper inference – permissionless competition drives down API costs.
- Censorship resistance – no single entity can de-platform a model.
- Data privacy – federated learning + zk-proofs keep datasets local.
- Tokenised incentives – high-quality data and models are rewarded automatically.
- Composable AI – smart contracts can call AI outputs on-chain (e.g., insurance pricing).
Risks & Limitations
- Compute fraud – malicious nodes may return dummy results; needs reputation or slashing.
- Data quality – poisoned datasets can degrade model accuracy.
- Regulatory grey zone – AI output may be deemed advice or securities signal.
- Token volatility – price swings make enterprise budgeting hard.
- Scalability – on-chain inference is still 10-100× slower than centralised clouds.
- Hype cycles – valuations often detach from actual AI usage metrics.
Final Thoughts
AI tokens sit at the intersection of two exponential trends—large-language-model breakthroughs and open DeFi rails.
They promise democratised access to cutting-edge intelligence, but today most revenue is still speculative.
Trade the narrative, stake for real services, and verify on-chain model usage before aping.