Datai has spent 4 years turning raw on-chain data into labeled data that compliance platforms, wallets, funds and AI agents run on.
Now the network gets its token.
$DATAI · Coming Soon on BNB Chain
No presale.
Why does a data network need a token?
Datai labels and enriches on-chain data across 20+ EVM chains and 4,200+ protocols. $DATAI is how the people who use that data and the people who produce it meet. ⤵️
Build the network.
Developers build indexers. Infrastructure providers connect nodes to expand indexing capacity. Users paying for data fund the rewards to both.
Real infrastructure. Real numbers.
→ 4.5M+ smart contracts labeled
→ 4,200+ protocols covered
→ 20+ EVM chains
→ 10M+ API requests per month
→ 125K+ wallets connected to Crunchie · 1M+ queries
Shout out to backers supporting Datai Network:
@ChainGPT_Labs
@oviohq
@BlizzardFund
@castrumistanbul
@FBGCapital
@BigBrainVC
and more.
MVB (Most Valuable Builder) is a selective accelerator program by @BNBCHAIN for Web3 projects, providing mentorship, ecosystem support, and Demo Day with investors.
MVB9: 16 projects chosen from 500+ applicants. Proud to have been an MVB9 alum.
Datai Network, AI-ready on-chain intelligence, built on the BNB ecosystem.
Datai Network runs on Google Cloud, backed by $250,000 in Google Cloud credits.
Labeling 4.5M+ smart contracts, serving APIs, and powering on-chain AI at scale takes real infrastructure.
More coming soon.
Official only:
→ @datainetwork
→ t.me/+etwUWCR_jkI4Nzgx
→ datai.network
Something is moving on-chain.
Datai Network: labeled, enriched blockchain data for AI agents and institutional workflows, is about to take its next step.
Stay close. Official only:
→ X: @datainetwork
→ Telegram: t.me/+etwUWCR_jkI4Nzgx
→ Website: datai.network
If it's not from these, it's not us.
What ChainComply gets from Datai:
→ Transaction context for smarter SoW / SoF investigations
→ Cleaner histories by filtering scam/spam noise
"Datai gives us additional visibility into what is actually happening inside a client wallet."
Lukasz Lukaszewski, Co-Founder & CPO, ChainComply
Full story → datai.network/blogs/blog-dat…
New partnership: Datai × @ChainComply
ChainComply helps banks investigate crypto Source of Wealth / Source of Funds.
Datai powers the on-chain financial context inside that workflow:
→ Transaction classification & enrichment
→ Scam/spam signals for cleaner wallet analysis
Blockchain transparency ≠ financial understanding.
We're building the interpretation layer.
Read more: datai.network/blogs/blog-dat…
We chose the hardest problem on purpose.
Not a clean API. Not a documented domain.
DeFi position data: thousands of bespoke protocols, logic in bytecode, changing daily, where a decimal is a financial error.
If a machine can reverse-engineer that, discover, generate, prove, heal, then cleaner domains are easy by comparison.
We're not a DeFi data company. We're an automation company forged on the hardest case first.
Bring us your hardest problem.
→ datai.network
Anyone can integrate one protocol.
A good team can do fifty.
What happens at four thousand?
4,703 live subgraphs
11 chains
3,461 machine-proven specs
39,172 ground-truth checks
Cost of the 4,000th ≈ cost of the first.
Coverage compounds.
Correctness compounds.
Most teams' data gets worse as it grows.
Ours doesn't.
→ datai.network
Most "AI agents" are chatbots with extra steps.
Here's how far agentic engineering actually goes on a hard problem:
→ find the protocol
→ reverse-engineer the formula
→ write + compile the indexer
→ validate against the chain
→ repair regressions
→ independently re-verify the repair
Humans only at the gates: never ship unproven, never quietly abandon a projection.
The frontier isn't agents that talk.
It's agents that build, prove, and repair.
→ datai.network
Finding a bug is half the job.
The expensive half is fixing it: correctly, cheaply, without breaking three other things.
When validation fails, an agent diagnoses, picks the cheapest fix (source-only → graft → watcher-only → full reindex), redeploys, and re-tests.
Then a second, independent verifier re-runs from scratch.
If the fixer lied, the system catches it.
An AI's confidence is not evidence.
An independent pass is.
Automated building is impressive.
Automated maintenance is the moat.
→ datai.network
Dirty secret of blockchain indexing:
Most of it is wrong somewhere, and nobody knows.
An indexer can sync, look healthy, and still compute the wrong number for a slice of users.
"Looks healthy" isn't good enough. 👇
Ground-truth corpus: 39,172 graded (pool, user) pairs across 20 chains.
Production gate: compiles · source==deployed · values match ground truth · pools covered.
Fail one → no promote. No force-ship.
Not "we think it's right."
"Tested against 39,172 on-chain checks + live 3-way verification, and it passed."
If your product depends on the data, that's the whole ballgame.
→ datai.network
