Key points
- DoorDash recorded only several hundred orders from third-party AI agents like Muse and Instinct.
- The company averages 3 million daily deliveries, making agent-based volume statistically negligible.
- DoorDash launched its own text-to-order, CLI, and chatbot agents between June and September.
- CEO Tony Xu stated the company wants to learn about agentic use cases and work with makers.
DoorDash disclosed during its third-quarter earnings call that it has received only “several hundred” orders from third-party AI agents. According to TechCrunch AI, these agents include platforms such as Muse, Instinct, and Fo.reported This volume represents a microscopic portion of the company’s total activity, which averages 3 million daily deliveries as reported in its 2025 annual report.reported
Evidence: reported
DoorDash said it’s only received ‘several hundred’ orders from AI agentsaifleet-techcrunch
What it does
DoorDash is evaluating the role of external autonomous agents in its commerce ecosystem. CEO Tony Xu described the current state of agent ordering as a “very dynamic area.” He emphasized a pragmatic approach, noting that while one should not fight technological gravity, it is important to avoid delusion about current adoption rates. The company is observing how these third-party tools interact with its ordering infrastructure.
How to get it
Access to ordering via third-party agents depends on the specific agent platform, such as Muse or Instinct, which users interact with directly. DoorDash has released an MCP to enable ordering from other chatbots for corporate ordering. The company is focusing on understanding the landscape before formalizing broader relationships with agent makers.
Limits
The primary limit is current adoption volume. With only several hundred orders attributed to third-party agents against a backdrop of millions of daily human-initiated orders, the impact on revenue is currently minimal. Additionally, the broader web environment is fragmented; while Walmart is welcoming agents, Amazon is actively blocking them, creating an inconsistent landscape for developers building universal ordering agents.
The takeaway
DoorDash is not blocking third-party agents but is also not seeing significant traction from them yet. The company views this as an evolving space where it aims to develop healthy relationships with agent creators. Future opportunities may include advertising within these agents, suggesting a shift from pure transactional integration to broader commercial partnerships as the technology matures.
Building on this
Data science teams should note that DoorDash has released an MCP to enable ordering from other chatbots, specifically for corporate ordering scenarios. This provides a documented interface for developers to build internal automation tools. Teams can also study DoorDash’s own agents: a text-to-order agent launched in September, a CLI agent from July, and the Ask DoorDash chatbot from June, which accepts prompts and photos. These internal tools demonstrate the company’s commitment to agentic interfaces, even as external third-party adoption remains low. The low volume of third-party orders suggests that current external agents may not yet be widely adopted by consumers compared to native apps, offering a research opportunity to analyze current usage patterns in autonomous commerce workflows.
Why it matters
- DoorDash’s release of an MCP for corporate ordering provides a concrete, documented interface for developers to integrate autonomous ordering into internal workflows.
- The disparity between DoorDash’s native agents and third-party adoption highlights the current low volume of external agent usage in the market.
- Competing strategies from major retailers like Amazon (blocking) and Walmart (welcoming) create a fragmented testing environment for universal agent developers.
- DoorDash’s openness to advertising within agents signals a future revenue model that developers should consider when designing user interfaces for these tools.
Topics: DoorDash, AI agents, MCP, autonomous commerce, TechCrunch
Updated
Ask the article
Local keyword search of this article; no generated answers.Did this article give you the evidence you needed?
Your choice stays on this device. No public tally.Questions readers ask
How many orders did DoorDash receive from AI agents?
DoorDash reported receiving only several hundred orders from third-party AI agents during the period covered by its third-quarter earnings call.
Does DoorDash support third-party agents?
DoorDash states it is open to working with third-party agent makers and wants to learn more about agentic use cases, though it has not detailed specific integration requirements.
What internal agents has DoorDash launched?
DoorDash launched a text-to-order agent in September, a CLI agent in July, and a chatbot called Ask DoorDash in June, which supports prompts and photos.
Connected stories
Reading receipt
- DoorDash recorded only several hundred orders from third-party AI agents like Muse and Instinct.
- The company averages 3 million daily deliveries, making agent-based volume statistically negligible.
- DoorDash launched its own text-to-order, CLI, and chatbot agents between June and September.
- CEO Tony Xu stated the company wants to learn about agentic use cases and work with makers.