Dataline raises $10.6M for an AI-agent data network, plans token sale
What's the deal? DatalineDealroom has a profile for this one. Try Dealroom → has raised $10.6 million for a decentralized data network built for autonomous AI agents, and it plans a public token sale through Uniswap's auction platform, with details expected next week. The startup, formerly known as TearlineDealroom has a profile for this one. Try Dealroom →, provides what it calls execution-grade data infrastructure for agents operating on blockchains.
What's the endgame? Dataline wants to replace the fragmented data stacks agents rely on — separate feeds for perpetuals, prediction markets, and token metadata — with a single structured interface. Each request returns natural language intent, cross-market output, source attribution, and a confidence score for execution risk.
Why now? AI agents are becoming real market participants, trading and interacting directly with onchain systems. Dataline says it already processes more than 19.4 million onchain transactions with a 96.4% execution success rate across BNB ChainDealroom has a profile for this one. Try Dealroom →, SuiDealroom has a profile for this one. Try Dealroom →, and TON, plus more than 2.5 million agent interactions through its ChatPilotDealroom has a profile for this one. Try Dealroom → product.
What could go wrong? With no disclosed investors or terms, it is hard to assess how much of the $10.6 million is committed venture funding versus tied to the planned token sale. That makes the ICO a material part of the story, not a footnote.
The signal: Investors are warming to dependable data infrastructure for onchain agents. In June, Cambrian raised $6 million — co-led by Franklin TempletonDealroom has a profile for this one. Try Dealroom → and Polychain — to build a verifiable oracle network for institutions and AI agents, bringing its disclosed total to $11.9 million. But the significance of Dataline's network will ultimately rest on demonstrated adoption and data quality, not the headline figure alone.
Read more: theblock.co
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