Gemini Deep Research API: Deep Research at Scale

AutoContent API provides a unified deep research layer that works with both Gemini Deep Research and OpenAI Deep Research. Teams can run research at scale for multiple use cases with consistent outputs, quality controls, and audit friendly citations.

What Deep Research Means

Deep research goes beyond simple summarization. The system plans a strategy, reads source materials, extracts evidence, cross checks claims, and produces structured findings with references. This workflow reduces hallucinations and improves trust in the final output.

Why Choose Gemini Deep Research API

• Reads across the web and private sources with policy controls
• Produces structured findings with citations and confidence signals
• Handles long context and layered reasoning for complex topics
• Optimized for analysis tasks that require breadth and depth

OpenAI Deep Research Support

You can also run the same workloads with OpenAI Deep Research. AutoContent API normalizes prompts, policies, and outputs so you get the same schema across providers. Use one provider, or choose both with automatic fallback to improve reliability.

Scale and Reliability

• Batch jobs and scheduling for continuous pipelines
• Parallel execution with rate limit awareness
• Idempotent job keys and automatic retries
• Cost controls with per job budgets and caps

Security and Compliance

• PII redaction and domain allow lists
• Signed web fetches and controlled headers
• Configurable data retention and region selection
• Citations and evidence bundles for audit trails

Common Use Cases

• Market and competitive analysis
• Literature reviews for technical and scientific topics
• Policy and regulatory monitoring
• Executive briefings and investor updates
• Product research and discovery synthesis

Outputs You Can Generate

• Evidence backed briefs with citations
• Deep dive reports and structured findings
• Short summaries for fast decision making
• Stakeholder specific perspectives and action items