Coinranking
AI coins
1,965 coins #21 Page 8| | Coins | | | ||
|---|---|---|---|---|---|
| | |||||
| The coins below are ranked lower due to missing data. Learn more | |||||
| | 351 |  Daydreams DREAMS | $ | -1.59%  | |
| | 352 |  ORA Coin ORA | $ | -5.89%  | |
| | 353 |  SOEX SOEX | $ | -1.15%  | |
| | 354 |  Future AI FUTUREAI | $ | -4.05%  | |
| | 355 |  Ledger AI LEDGER | $ | +1.31%  | |
| | 356 |  Edge Matrix Computing EMC | $ | -3.15%  | |
| | 357 |  LadyLuck LUCKY | $ | -2.19%  | |
| | 358 |  Panther AI PAI | $ | -2.10%  | |
| | 359 |  Zen AI ZAI | $ | +5.34%  | |
| | 360 |  CDD Token CDD | $ | -1.49%  | |
| | 361 |  Singularity Finance SFI | $ | +0.03%  | |
| | 362 |  IDRISS IDRISS | $ | +11.17%  | |
| | 363 |  Jatevo JTVO | $ | +10.20%  | |
| | 364 |  DTEC DTEC | $ | -0.12%  | |
| | 365 |  CLANKER Robot AI Slur CLANKER | $ | +2.24%  | |
| | 366 |  MBOOM MBOOM | $ | +0.59%  | |
| | 367 |  MUTE SWAP by Virtuals MUTE | $ | -3.39%  | |
| | 368 |  AI Genesis Club AGC | $ | -20.92%  | |
| | 369 |  three.ws three | $ | +7.48%  | |
| | 370 |  Cortensor COR | $ | -3.29%  | |
| | 371 |  PLAY AI PLAI | $ | -0.01%  | |
| | 372 |  Neuron NRN | $ | +140.99%  | |
| | 373 |  ASSEMBLE ASM | $ | +0.00%  | |
| | 374 |  UPROCK UPT | $ | +0.82%  | |
| | 375 |  Soroosh Smart Ecosystem SSE | $ | -5.35%  | |
| | 376 |  SMARTCREDIT Token SMARTCREDIT | $ | +0.00%  | |
| | 377 |  Capminal by Virtuals CAP | $ | +9.07%  | |
| | 378 |  Mindmesh MESH | $ | +0.00%  | |
| | 379 |  OPEN GPU oGPU | $ | -2.22%  | |
| | 380 |  Hivello HVLO | $ | +0.69%  | |
| | 381 |  IMGN Labs IMGN | $ | -2.36%  | |
| | 382 |  Effect AI (new) EFFECT | $ | +2.78%  | |
| | 383 |  SOPH AI Token SOPH | $ | +6.53%  | |
| | 384 |  Dexter AI DEXTER | $ | -1.01%  | |
| | 385 |  AMORE AMORE | $ | -3.72%  | |
| | 386 |  Depicted DPT | $ | +0.00%  | |
| | 387 |  ChatAI Token CHATAI | $ | +7.16%  | |
| | 388 |  Prefrontal Cortex Convo Agent CONVO | $ | -2.15%  | |
| | 389 |  KITE AI KITE AI | $ | +0.07%  | |
| | 390 |  VPay by Virtuals VPAY | $ | -2.80%  | |
| | 391 |  Super Champs CHAMP | $ | -1.63%  | |
| | 392 |  Cybercentry by Virtuals CENTRY | $ | -7.29%  | |
| | 393 |  ArchAI ARCHAI | $ | -1.25%  | |
| | 394 |  Heurist HEU | $ | +0.29%  | |
| | 395 |  COREX CORX | $ | -0.54%  | |
| | 396 |  AI Powered Finance AIPF | $ | +0.99%  | |
| | 397 |  SIMD SIMD | $ | +51.76%  | |
| | 398 |  Frodo the virtual samurai FROG | $ | +0.76%  | |
| | 399 |  Sanafi Onchain SANA | $ | -3.28%  | |
| | 400 |  Ace Data Cloud ACE | $ | -12.52%  | |
Trending AI coins
| Coins | Live Price | 24h | |
|---|---|---|---|
| |  Bittensor TAO | $ | -1.53%  |
| |  Internet Computer ICP | $ | -0.94%  |
| |  NEAR Protocol NEAR | $ | +1.08%  |
| |  The Graph GRT | $ | -1.74%  |
| |  Chainlink LINK | $ | -0.94%  |
Top Gainers
| Coins | | | |||
|---|---|---|---|---|---|
| |  PlatON LAT | $ | +133.17%  | ||
| |  SUPERFORTUNE GUA | $ | +67.49%  | ||
| |  Sleepless AI Token AI | $ | +31.10%  | ||
| |  DuckChain DUCK | $ | +26.34%  | ||
| |  Velvet VELVET | $ | +10.56%  | ||
| 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.