Questflow connects with Coinbase/Circle, reconstructing Agent production relationships through payment protocols.

Recently, multi-AI agent orchestration platform Questflow announced the completion of a $6.5 million seed round of financing, led by CyberFund (an institution affiliated with Lido's co-founder), with participation from top-tier institutions and project teams including Delphi Labs, Systemic Ventures (supported by Ethereum co-founder Joseph Lubin), Animoca Brands, HashKey Capital, and ElizaOS. The project has also received ecosystem grants from Aptos, Coinbase, and Virtuals Protocol.

In July last year, Questflow secured a $1.5 million angel round from MiraclePlus and PAKA.

Beyond support from leading institutions and project teams, Questflow has recently established strategic partnerships with top Web2 and Web3 platforms, including Circle, Coinbase, Google, Near, and CoinGecko.

The rise of AI Agents is reshaping traditional workflows, and human-AI Agent collaboration may become the norm in future work environments.

For individual workers, AI Agents will serve as capable "digital assistants," handling repetitive and process-driven tasks such as schedule management, email filtering, and meeting minutes. This allows professionals to focus on more creative and strategic high-level tasks.

For enterprises, AI Agents will act as "digital employees," helping to reduce costs and improve efficiency. Companies will need to establish an AI Agent pool, deploying specialized Agents for finance, customer service, data analysis, and other functions, enabling employees to coordinate and dispatch them as needed. Employees simply articulate their requirements, and intent-driven automation will mobilize Agents for efficient execution, with humans only needing to review critical content.

However, the current market lacks mature enterprise solutions for this AI Agent-driven workflow revolution. While tools like ChatGPT, DeepSeek, and Midjourney can perform specific tasks, each has its own user interface, payment structure, and API syntax, resulting in a fragmented user experience.

Moreover, enterprise needs vary widely, and existing general-purpose AI tools are unlikely to fully adapt to specific business scenarios. For employees without technical backgrounds, the challenge of operating and coordinating multiple AI Agents presents another pain point.

In this era of human-AI collaboration, there is massive market demand for customizing AI Agent functionalities and unifying multi-Agent coordination to handle cross-departmental, cross-scenario complex tasks.

A report by JAZZAR Research predicts that by 2026, 60% of enterprises will deploy AI Agents, and by 2027, 40% of enterprise services will be delivered by AI Agent combinations.

In this context, Questflow is committed to building a flexible, composable multi-AI Agent orchestration platform, enabling AI Agents to collaborate like human employees and helping individuals and enterprises adapt to new workflow models.

Questflow serves as the "intelligent hub" in human-AI Agent collaboration. Based on its core MAOP (Multi-Agent Orchestration Protocol), Questflow interprets intent, coordinates actions across diverse AI Agents, and leverages on-chain payments to reward Agents based on task outcomes and usage metrics.

While automating repetitive workflows, Questflow retains human oversight at critical junctures, achieving an "efficient + controllable" collaborative model.

Currently, TARS, built on the MAOP protocol, exemplifies this intelligent hub for multi-Agent collaboration. Users can submit requests to TARS, which then coordinates multiple AI Agents to complete complex tasks through Agent-to-Agent cluster scheduling, ensuring seamless, efficient, and accurate workflows.

For example, a user who needs to browse AI forums like GitHub and Reddit daily and compile a list of promising AI projects can use TARS to dispatch GitHub Agent and Reddit Agent for automated data gathering and analysis—no coding required.

TARS also highlights three common use cases:

1. Market analysts can automate AI news and trend collection by coordinating GitHub Agent, HackerNews Agent, and ProductHunt Agent.

2. Content creators can automate video distribution across YouTube Agent, Instagram Agent, and TikTok Agent.

3. Marketing teams can manage multi-platform content calendars with automated updates and reminders via multi-Agent interaction.

For relatively fixed and routine tasks, users can largely rely on TARS' Agent-to-Agent protocol.

TARS also integrates payment systems, Agent wallets, and automated settlement mechanisms, enabling AI Agents to handle payments, receipts, and storage. Users can pay per task in stablecoins like USDC, eliminating the need for monthly subscriptions.

TARS' flexibility and efficiency stem from Questflow's multi-Agent scheduling protocol and its diverse AI model stack, which includes:

• Video generation models: Veo3, Zora, Runway, Kelin, Jimeng

• Image generation models: GPT-4o, Flux, Stable Diffusion, MidJourney, Google Imagen4, Artbreeder, Deep Dream

• Deep search models: ChatGPT, Gemini 2.5 Pro, Claude, Qwen

Questflow ensures seamless integration between AI models for complex multi-task scenarios. With GPT-4o and other LLMs, users can simply "make requests" without switching between platforms—everything is accessible through Questflow’s unified interface and wallet.

If MAOP is the "brain" coordinating multiple Agents, then the Questflow Developer Platform (QDP) is the "engine" powering this labor market.

QDP empowers developers with modular SDKs, no-code tools driven by natural language, and efficient on-chain settlement capabilities. Developers can quickly wrap APIs into AI Agents, orchestrate Agent clusters for complex workflows, and monetize through pay-per-use or revenue-sharing models using stablecoins like USDC.

To ensure AI Agent quality, Questflow introduced Agent Benchmark, a dynamic ranking system evaluating cost, quality, and speed to recommend optimal Agent combinations, with test fees settled in stablecoins.

Through MAOP, QDP, and Benchmark, Questflow is building a decentralized AI productivity network where Agents become composable, tradable production factors.

Questflow is collaborating with industry giants like Coinbase and Circle to establish critical infrastructure for the AI Agent era.

Official information confirms partnerships across sectors:

• Exchanges: Coinbase, OKX, Gate

• Stablecoins: Circle

• Data analytics: MongoDB, CoinGecko

• AI Agent platforms: Virtuals, Yield

• Web3 mobile: Jambo

• Web2 enterprises: Google

For instance, Questflow integrates Coinbase Developer Platform (CDP) wallet APIs to provide on-chain asset management and settlement for AI Agents. MAOP also incorporates CDP’s AgentKit for ecosystem use.

As enterprises increasingly adopt AI Agents, Questflow’s market potential is vast. It’s not just a functional tool but an ecosystem platform bridging two trillion-dollar markets: global enterprise automation services and decentralized financial infrastructure.

With core protocols already endorsed by leading institutions, Questflow has transitioned from technical protocols to commercial ecosystems. Future expansion into Web2 could further amplify its impact.

Backed by a strong team, Questflow is poised for long-term product and commercial success. As the AI Agent network grows, Questflow may well become the App Store of the AI era, governing the distribution of AI Agent traffic and economics.