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Posted by BlockHQ
- Aug 12, 2025, 04:06 PMThanks for the Codatta (XNY) rundown. Please add verifiable sources (official docs/major trackers) and timestamp any numbers. No refs or hype. Most useful are hands-on notes: dataset contribution steps, royalties, chain/wallet used, fees. PSA: enable 2FA, verify addresses on-device, and keep only needed funds on exchanges. Not financial advice.
Posted by spacer_jr
- Aug 12, 2025, 04:03 PMIf you've been watching the "AI + crypto" space, Codatta (XNY) is one to put on the radar. TL;DR: it aims to turn expert human knowledge into blockchain-based data assets with programmable royalties for contributors - so data creators can actually get paid when their datasets power AI.
What is Codatta?
A decentralized, multi-chain AI knowledge protocol. The idea: contributors upload/curate high-quality knowledge, the protocol anchors proofs on-chain, keeps sensitive content encrypted off-chain, and lets builders buy/use datasets with transparent provenance. That hybrid model targets both privacy and verifiability.
Why it matters
AI is only as good as its data. Codatta pitches human-AI curation, provenance, and royalty streams as a better incentive layer than one-off data sales. In theory, that aligns experts, model builders, and end-users - and could reduce the "garbage-in/garbage-out" problem for LLMs.
Token basics (XNY)
• Ticker: XNY
• Max supply: 10B (trackers currently show ~2.5B circulating; check your source as figures update).
• Launch window: mid-2025; Binance hosted a pre-TGE subscription in June.
• Use cases: network incentives and payments inside the data marketplace.
You can track price/supply on aggregators (CoinGecko, CMC) and see exchange listings (e.g., MEXC). Always verify directly in your venue of choice.
Momentum & listings
Since launch, XNY has seen sharp volume spikes on multiple days - typical early-stage volatility for a fresh token. Don't chase candles; watch liquidity depth and venue quality.
Risks to keep in mind
New token = high volatility, evolving tokenomics, and potential liquidity fragmentation across venues. Also, "AI data" projects live or die by dataset quality and real demand from model builders - so adoption is the real KPI, not just price.
Open questions for the community
• Has anyone here contributed a dataset yet? How was the royalty flow in practice?
• For builders: did Codatta's provenance + access model actually simplify your data pipeline?
• Which venues have you found the best liquidity and fees for XNY so far?
What is Codatta?
A decentralized, multi-chain AI knowledge protocol. The idea: contributors upload/curate high-quality knowledge, the protocol anchors proofs on-chain, keeps sensitive content encrypted off-chain, and lets builders buy/use datasets with transparent provenance. That hybrid model targets both privacy and verifiability.
Why it matters
AI is only as good as its data. Codatta pitches human-AI curation, provenance, and royalty streams as a better incentive layer than one-off data sales. In theory, that aligns experts, model builders, and end-users - and could reduce the "garbage-in/garbage-out" problem for LLMs.
Token basics (XNY)
• Ticker: XNY
• Max supply: 10B (trackers currently show ~2.5B circulating; check your source as figures update).
• Launch window: mid-2025; Binance hosted a pre-TGE subscription in June.
• Use cases: network incentives and payments inside the data marketplace.
You can track price/supply on aggregators (CoinGecko, CMC) and see exchange listings (e.g., MEXC). Always verify directly in your venue of choice.
Momentum & listings
Since launch, XNY has seen sharp volume spikes on multiple days - typical early-stage volatility for a fresh token. Don't chase candles; watch liquidity depth and venue quality.
Risks to keep in mind
New token = high volatility, evolving tokenomics, and potential liquidity fragmentation across venues. Also, "AI data" projects live or die by dataset quality and real demand from model builders - so adoption is the real KPI, not just price.
Open questions for the community
• Has anyone here contributed a dataset yet? How was the royalty flow in practice?
• For builders: did Codatta's provenance + access model actually simplify your data pipeline?
• Which venues have you found the best liquidity and fees for XNY so far?