DataExplorer

DataExplorer helps DoorDash employees explore internal data by selecting tables and generating grounded starter SQL.

Company: DoorDash
Approach type: Agent
Work: Data
Human involvement: Unknown
Invocation: Interactive
Deployment stage: Deployed
Evidence strength: Detailed primary
Entry reviewed: 2026-09-17

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How it works

employee data question → grounded starter SQL.

Inspect schema

The agent calls DescribeTable to gather candidate tables and schema context.^{[Source 1]}

Generate SQL

It proposes relevant tables and starter SQL grounded in their schema.^{[Source 1]}

Where people stay involved

People review, approve, or guide the agent’s work here.

Not reported: The source does not establish the required human review boundary.

Supervision level
Not classified
- employee data question → grounded starter SQL^{[Source 1]}

How supervision levels work

Implementation details

Model: Not reported
Harness: Runs on DoorDash’s analytics AI Marketplace.^{[Source 1]}
Sandbox: Not reported
Tool access: DescribeTable and schema-aware SQL tools.^{[Source 1]}
Knowledge: Not reported
Context management: Not reported
Credentials: Not reported
Interfaces: Not reported

Validation and failure handling

Validate queries

The platform applies SQL checks and EXPLAIN validation with feedback for correction.^{[Source 1]}

Reported observations

Not reported

Lessons

Not reported: The available sources do not report lessons from this work.

Back to agents

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Preview prompt

Help me update the Internal Agents Map record for DataExplorer at DoorDash.

Repository: https://github.com/steel-experiments/internal-agents-map
Record: data/agents/doordash-dataexplorer.yaml
Published record: https://internal-agents.com/agents/doordash-dataexplorer
Readable context: https://internal-agents.com/agents/doordash-dataexplorer.md

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Sources and research details

Citations link to the original publisher. Each source also keeps a preserved copy in the repository, so a changed or removed page stays checkable.

Beyond single agents: DoorDash's collaborative AI ecosystemhttps://careersatdoordash.com/blog/beyond-single-agents-doordash-building-collaborative-ai-ecosystem/Engineering blog · First party · Last source verification: 2026-08-31
Preserved copy

Question coverage and scope

purpose: Reported
workflow: Reported
human involvement: Not reported: The source does not establish the required human review boundary.
implementation: Reported
validation: Reported
observations: Not reported
lessons: Not reported

Research details for every claim on this page

Summary
Statement type
Fact
Provenance
Reported
Confidence
Not assessed
Confidence reason
No explicit confidence assessment is recorded for this claim.
- SupportsBeyond single agents: DoorDash's collaborative AI ecosystemIntroducing dynamic reasoning with agents, Figure 4; Taking a high-level look
Harness
Statement type
Fact
Provenance
Reported
Confidence
Not assessed
Confidence reason
No explicit confidence assessment is recorded for this claim.
- SupportsBeyond single agents: DoorDash's collaborative AI ecosystemIntroducing dynamic reasoning with agents, Figure 4; Taking a high-level look
Tool access
Statement type
Fact
Provenance
Reported
Confidence
Not assessed
Confidence reason
No explicit confidence assessment is recorded for this claim.
- SupportsBeyond single agents: DoorDash's collaborative AI ecosystemIntroducing dynamic reasoning with agents, Figure 4; Taking a high-level look
Inspect schema
Statement type
Fact
Provenance
Reported
Confidence
Not assessed
Confidence reason
No explicit confidence assessment is recorded for this claim.
- SupportsBeyond single agents: DoorDash's collaborative AI ecosystemIntroducing dynamic reasoning with agents, Figure 4; Taking a high-level look
Generate SQL
Statement type
Fact
Provenance
Reported
Confidence
Not assessed
Confidence reason
No explicit confidence assessment is recorded for this claim.
- SupportsBeyond single agents: DoorDash's collaborative AI ecosystemIntroducing dynamic reasoning with agents, Figure 4; Taking a high-level look
Validate queries
Statement type
Fact
Provenance
Reported
Confidence
Not assessed
Confidence reason
No explicit confidence assessment is recorded for this claim.
- SupportsBeyond single agents: DoorDash's collaborative AI ecosystemIntroducing dynamic reasoning with agents, Figure 4; Taking a high-level look
Operating model assessment
Statement type
Inference
Provenance
Catalog judgment
Confidence
Unverified
Confidence reason
The source describes DataExplorer and its work, but does not establish whether a person must approve or inspect each successful output.
Observation date
2025-11-11
- SupportsBeyond single agents: DoorDash's collaborative AI ecosystemIntroducing dynamic reasoning with agents, Figure 4; Taking a high-level look