By Hamza Faisal
Dataline, a startup building a decentralized data network for AI agents, has raised $10.6 million in a funding round announced on October 31, 2026. The company wants to become what it calls the data lifeline of the agent era: one integration through which autonomous software can find, verify and pay for the information it needs to act.
The round was co-led by Lattice and Dispersion Capital, the investment firm backed by Samsung, with participation from Symbolic Capital. The backer list also spans crypto and traditional finance, including Coinbase Ventures, Anagram, a former head of the US Commodity Futures Trading Commission, and founders and partners from Robinhood, Venmo, Anchorage, NEA, General Catalyst, Jump Capital and FalconX.
Dataline announced the funding alongside the first cohort of its AI Data Launch partners, meant to show agents will have real data to buy from day one. The cohort includes prediction markets Polymarket and Kalshi, trading venue Hyperliquid, and projects such as Kite, Aerodrome, B3OS, Sentient, Sahara, Primus, Cluster and Apro, alongside Base, Robinhood Chain, BNB, Sui and TON. Builders on Base and Robinhood Chain will get free Dataline access as part of the launch.
One integration instead of dozens of feeds
The pitch is simple, even if the plumbing is not. Today, an agent that needs a live price or a market outcome typically has to wire itself into each source separately, negotiating formats, access and payment one by one. Dataline wants to replace that patchwork with a two-sided marketplace where anyone can publish a data feed and any agent can pay per call, using the x402 payment protocol.
That matters because agents do not just read data, they act on it. A trading agent or research assistant working from stale or manipulated information can make expensive mistakes in seconds, with no human in the loop to catch them. Dataline argues that trustworthy, machine-readable data, priced per use rather than locked behind enterprise contracts, is the missing layer between capable models and agents businesses can rely on.
The company says its network has powered 19.4 million onchain transactions with a 96.4 percent agent task success rate, and that it has grown a community of more than 300,000 people worldwide. Those figures come from the company itself and have not been independently audited, but they help explain why investors spanning venture capital, exchanges and payments all joined the same round.
What is still unproven
Plenty remains unsettled. Dataline did not disclose a valuation or the type of round, and $10.6 million is modest beside the billion-dollar rounds that have defined AI infrastructure this year. The company must show that agents keep coming back once free access ends, that publishers earn enough to maintain their feeds, and that a decentralized marketplace can match the reliability of the centralised providers it hopes to displace.
Still, the breadth of the backer list and the launch cohort makes this more than a routine funding announcement. When venture firms, crypto exchanges and payments companies all fund the same data layer, and when prediction markets and blockchains sign on as launch partners, it signals a shared belief: that the next phase of AI will be decided not only by smarter models, but by whether the agents built on them can get data they can trust.
