Dataline Raises $10.6 Million to Build an AI Data Market

By Olivia Hart

Dataline, a decentralized data infrastructure company, said it raised $10.6 million to expand a network that lets autonomous AI agents access, verify and purchase information from third-party data providers. Dataline said Lattice and Samsung-backed Dispersion Capital co-led the financing, with Symbolic Capital participating.

Dataline also named Coinbase Ventures, Anagram, a former head of the Commodity Futures Trading Commission, and founders or partners associated with Robinhood, Venmo, Anchorage, New Enterprise Associates, General Catalyst, Jump Capital and FalconX as additional investors or strategic supporters. It did not identify the former official or separate investors from strategic supporters.

The company disclosed neither the valuation nor the funding instrument, revenue, runway or individual commitments. That leaves investors’ economic exposure and Dataline’s financial starting point unstated.

What does the financing support?

Nuo Shi, co-founder of Dataline, said:

“After building AI agents ourselves, we realized that clean and reliable data is the lifeblood of AI. Today’s AI is capable enough to know what data it needs, sometimes better than we do. So we built an open network that not only delivers the most reliable data streams, but also lets AI request help to gather the data it can’t reach on its own.”

Dataline said the financing will support a standardized infrastructure layer connecting AI agents to commercial data markets. The company also plans to expand its ecosystem of data providers, blockchain integrations and autonomous applications. The round buys ecosystem expansion, but the announcement does not show a durable revenue base.

How does Dataline settle and validate data?

Dataline says it is building a decentralized marketplace that connects autonomous AI agents with data providers through one unified integration. The company frames a specific bottleneck: increasingly autonomous software needs reliable, current and verifiable information to complete tasks and make decisions.

Dataline says the platform supports five related mechanisms:

• Paid feeds: Data providers publish information feeds, and agents access those feeds through usage-based payments.
• Programmatic settlement: The network supports the x402 payment protocol, allowing agents to pay for data requests programmatically.
• Confidence screening: Dataline provides AI-generated confidence scores for API responses, evaluating source reliability, freshness and consistency. The scores aim to help agents identify potentially unreliable information before transactions or other automated actions.
• Custom requests: Buyers post requests for specific information and offer compensation. Providers capable of fulfilling those needs submit responses and receive payment.
• Verification and incentives: Token staking and penalties for inaccurate submissions encourage reliable delivery. An optional zero-knowledge attestation feature lets providers attach verification evidence to responses.

Because attestation is optional, it does not cover every response. The announcement does not explain how penalties are enforced, how much stake providers post or how many responses carry attestation. Dataline combines access, payment and verification, but leaves key trust rules unquantified.

What do the operating figures show?

Dataline reported that its network had supported 19.4 million on-chain transactions and achieved a 96.4% agent task success rate. The company also said its community had grown to more than 300,000 participants worldwide.

At the reported success rate, 96 of every 100 agent tasks succeeded. The announcement does not define a successful task, identify the measurement period or separate paid production use from testing and free access.

The company gives no reporting window for the 19.4 million transactions, so the figure cannot be converted into a daily or annual pace. It also does not disclose how many of the 300,000 participants generated transactions or paid for data. The scale numbers are substantial on Dataline’s account, but they do not establish recurring revenue.

Who is joining the network?

Dataline said it had been selected as a winner of the 2025 BNB Chain AI Hackathon. Its initial Data Launch cohort included Kite, Aerodrome, B3OS, Sentient, Sahara, Hyperliquid, Polymarket, Kalshi, Primus, Cluster, Apro, Base, Robinhood Chain, BNB, Sui and TON.

Dataline also announced arrangements providing builders on Base and Robinhood Chain with free access to its platform. The announcement does not say whether each cohort project operates on the network, pays for data or has committed request volume. The roster signals potential reach rather than disclosed commercial use.

What must Dataline prove next?

Dataline’s expansion plan now depends on agents and providers adopting the network for commercial data, rather than merely joining a launch cohort. The company must show that usage-based payments, confidence scores, staking penalties and optional attestations can support repeat transactions at scale.

The next proof point is sustained, paid activity after the free access announced for Base and Robinhood Chain, with clear economics for token incentives. Until then, the $10.6 million gives Dataline development time and ecosystem reach, not validation of a standardized data market.