Deep Research (Comprehensive)

Exhaustive multi-turn research synthesis and cross-referencing.

What it does

Execute a multi-turn, multi-source autonomous deep synthesis across all available expert graphs. Best for complex, open-ended strategic inquiries requiring exhaustive cross-referencing and verification.

Orchestration pipeline

  1. Dynamic search planning & query expansion
  2. Multi-graph parallel semantic retrieval
  3. Recursive evidence compilation
  4. Cross-source correlation and confidence scoring

Example

Query: "biomaterials in athletic wear and active recovery"

Returns a full strategic report including key insights, supporting evidence with graph references, and cross-domain synthesis. Example output identifies sensor and recovery convergence trends from the psfk-sports graph, biotech beauty inputs from the psfk-beauty graph, with direct evidence links.

Integration

MCP Tool: research_agent()

Arguments: topic, depth: "comprehensive"

REST Endpoint: POST /v1/research/deep-dive

Add Fodda as an MCP server. Once configured, your AI model can dynamically trigger research_agent() whenever the context warrants.

Unauthenticated requests will trigger an MPP challenge (HTTP 402), allowing inline agent-wallet settlement.

Zero-Onboarding via MPP

Consuming agents do not require pre-provisioned keys. Endpoints challenge unauthenticated bots with HTTP 402, allowing automatic Stripe link settlement.