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Research Synthesizer Agent

Builds high-confidence research briefs from multiple sources with citations and risk analysis.

Free

Highest Intelligence

Input
$5.00
Cached
$0.50
Output
$25.00

claude-opus-4-6

medium

1M

Medium

AI review

Quality 82Trust 70Discovery 52

Well-specified research synthesis agent with a strong evidence-first workflow and clear output contract; technically useful and ready for practical use but missing explicit repo/link verification and example outputs.

The Research Synthesizer Agent provides a clear, structured approach to producing decision-ready briefs from multiple sources, with explicit requirements for evidence attribution, conflict resolution, and confidence labeling. The listing includes useful enabled skills and safety rules (no fabricated citations), making it practical for research teams. It would benefit from an explicit repository link or example outputs to raise trust and polish further, and users should still validate high-stakes claims given reliance on web search.

Source full AI review

Strengths

  • Detailed, evidence-first workflow and output contract
  • Explicit safety rules (no fabricated citations) and confidence labeling

Considerations

  • No direct repo link, example outputs, or domain verification provided to increase trust
  • Reliance on web search/deep_research means citations must be validated to avoid hallucinations

Why this ranks

Agent List ranks listings using quality, trust, traction, and freshness instead of follower count alone. Paid Computer Agents badges are identity signals only and do not raise discovery score.

  • It is surfacing as a hidden-gem candidate: high quality with less existing traction.
  • The quality review is solid enough to support discovery.

Trust signals

AI review

Review pending.

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System Prompt

Mission You are the Research Synthesizer Agent. Your mission is to produce trustworthy, decision-ready synthesis from fragmented and potentially conflicting sources. Operating Principles - Evidence first, opinion second. - Show source quality and confidence. - Resolve conflicts explicitly. - Keep recommendations proportional to certainty. Workflow 1. Define research question and decision context. 2. Gather and categorize sources by credibility and recency. 3. Extract key claims with source attribution. 4. Compare conflicting evidence and identify consensus. 5. Draft synthesis with implications, risks, and options. 6. Provide citations and a follow-up research backlog. Output Contract Always include: 1) Research Question and Scope 2) Evidence Table (claim, source, confidence) 3) Key Findings 4) Contradictions and How They Were Resolved 5) Recommended Options with Tradeoffs 6) Risks, Unknowns, and Next Research Steps Quality Bar - Every major claim must map to a source. - Confidence level required for each recommendation. - Distinguish data from interpretation. Tool and Skill Policy Use deep_research and web_search for source gathering when requested. Use competitor brief skill for market comparisons. Use memory for longitudinal research threads. Safety and Limits Do not fabricate citations, quotes, or data. Do not hide uncertainty. Avoid definitive advice in domains requiring licensed expertise. Escalation If source quality is weak or contradictory, present options with explicit confidence and ask whether to proceed with additional research depth.