Source: https://internal-agents.com/agents/doordash-dataexplorer # DoorDash — DataExplorer DataExplorer helps DoorDash employees explore internal data by selecting tables and generating grounded starter SQL. - Company: [DoorDash](https://internal-agents.com/organizations/doordash) - Collection: Agents - Approach type: Agent - Deployment stage: Deployed - Autonomy: Unknown - Evidence strength: Detailed primary - Status: Internal - First reported year: 2025 - Work: Data - Invocation: Interactive - Entry reviewed: 2026-09-17 ## Purpose ### Summary DataExplorer helps DoorDash employees explore internal data by selecting tables and generating grounded starter SQL. Fact · Reported · High confidence · `doordash-dataexplorer--summary` Confidence reason: A linked first-party source states the claim. Evidence: - Supports · [1] [Beyond single agents: DoorDash's collaborative AI ecosystem](https://careersatdoordash.com/blog/beyond-single-agents-doordash-building-collaborative-ai-ecosystem/) · Introducing dynamic reasoning with agents, Figure 4; Taking a high-level look Representative workflow: employee data question → grounded starter SQL. ## How it works ### Inspect schema The agent calls DescribeTable to gather candidate tables and schema context. Fact · Reported · High confidence · `doordash-dataexplorer--primitives-0` Confidence reason: A linked first-party source states the claim. Evidence: - Supports · [1] [Beyond single agents: DoorDash's collaborative AI ecosystem](https://careersatdoordash.com/blog/beyond-single-agents-doordash-building-collaborative-ai-ecosystem/) · Introducing dynamic reasoning with agents, Figure 4; Taking a high-level look ### Generate SQL It proposes relevant tables and starter SQL grounded in their schema. Fact · Reported · High confidence · `doordash-dataexplorer--primitives-1` Confidence reason: A linked first-party source states the claim. Evidence: - Supports · [1] [Beyond single agents: DoorDash's collaborative AI ecosystem](https://careersatdoordash.com/blog/beyond-single-agents-doordash-building-collaborative-ai-ecosystem/) · Introducing dynamic reasoning with agents, Figure 4; Taking a high-level look ## Where people stay involved - **employee data question → grounded starter SQL** — Unknown · Level unknown **Unreported:** The source does not establish the required human review boundary. ### Supervision evidence #### Operating model assessment Unclassified for employee data question → grounded starter SQL; human attention boundary: unknown. Inference · Catalog judgment · Unverified confidence · `doordash-dataexplorer--operating-models-0` Confidence reason: The source describes DataExplorer and its work, but does not establish whether a person must approve or inspect each successful output. Qualifications: - Observation date: 2025-11-11 Evidence: - Supports · [1] [Beyond single agents: DoorDash's collaborative AI ecosystem](https://careersatdoordash.com/blog/beyond-single-agents-doordash-building-collaborative-ai-ecosystem/) · Introducing dynamic reasoning with agents, Figure 4; Taking a high-level look ## Implementation details ### Harness Runs on DoorDash’s analytics AI Marketplace. Fact · Reported · High confidence · `doordash-dataexplorer--architecture-harness` Confidence reason: A linked first-party source states the claim. Evidence: - Supports · [1] [Beyond single agents: DoorDash's collaborative AI ecosystem](https://careersatdoordash.com/blog/beyond-single-agents-doordash-building-collaborative-ai-ecosystem/) · Introducing dynamic reasoning with agents, Figure 4; Taking a high-level look ### Tool access DescribeTable and schema-aware SQL tools. Fact · Reported · High confidence · `doordash-dataexplorer--architecture-tool-access` Confidence reason: A linked first-party source states the claim. Evidence: - Supports · [1] [Beyond single agents: DoorDash's collaborative AI ecosystem](https://careersatdoordash.com/blog/beyond-single-agents-doordash-building-collaborative-ai-ecosystem/) · Introducing dynamic reasoning with agents, Figure 4; Taking a high-level look ### Implementation coverage - **Model:** unreported — Not documented for this subject in the reviewed source. - **Harness:** reported - **Sandbox:** unreported — Not documented for this subject in the reviewed source. - **Tool access:** reported - **Knowledge:** unreported — Not documented for this subject in the reviewed source. - **Context management:** unreported — Not documented for this subject in the reviewed source. - **Credentials:** unreported — Not documented for this subject in the reviewed source. - **Interfaces:** unreported — Not documented for this subject in the reviewed source. ## Validation and failure handling ### Validate queries The platform applies SQL checks and EXPLAIN validation with feedback for correction. Fact · Reported · High confidence · `doordash-dataexplorer--primitives-2` Confidence reason: A linked first-party source states the claim. Evidence: - Supports · [1] [Beyond single agents: DoorDash's collaborative AI ecosystem](https://careersatdoordash.com/blog/beyond-single-agents-doordash-building-collaborative-ai-ecosystem/) · Introducing dynamic reasoning with agents, Figure 4; Taking a high-level look ## Reported observations **Unreported:** The reviewed source does not document this for the named subject. ## Lessons **Unreported:** The reviewed source does not document this for the named subject. ## Question coverage and scope - **purpose:** Reported - **workflow:** Reported - **human involvement:** Unreported — The source does not establish the required human review boundary. - **implementation:** Reported - **validation:** Reported - **observations:** Unreported — The reviewed source does not document this for the named subject. - **lessons:** Unreported — The reviewed source does not document this for the named subject. ## Related reading - Built on: [DoorDash — Analytics AI Marketplace](https://internal-agents.com/agents/doordash-ai-marketplace) ## Sources 1. [Beyond single agents: DoorDash's collaborative AI ecosystem](https://careersatdoordash.com/blog/beyond-single-agents-doordash-building-collaborative-ai-ecosystem/) - Engineering blog · First party · Evidence - Original URL: - Published: 2025-11-11 · Accessed: 2026-08-12 · Last verified: 2026-08-31