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Hyperresearch launches evidence-first agentic search

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Hyperresearch launches evidence-first agentic search
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// 1h agoPRODUCT LAUNCH

Hyperresearch launches evidence-first agentic search

Hyperresearch combines multi-source web search, structured data APIs, and a persistent evidence vault to produce cited research reports. Its new Answers MCP and API give agents concise, quote-backed answers—or `not_found`—without bloating context with search loops.

// ANALYSIS

Hyperresearch’s strongest idea is treating provenance as reusable infrastructure, not just an answer-generation feature. Its benchmark claims are promising but vendor-reported, so the durable differentiator is the workflow design.

  • –Persistent source storage turns one-shot research into compounding, searchable context
  • –Answers MCP returns checked quotes, while search exposes ranked passages for agent-controlled synthesis
  • –Coverage across four AI search engines and 40+ structured sources improves access to filings, statistics, papers, and public records
  • –The MIT-licensed CLI plus hosted API/MCP gives developers both local ownership and managed deployment
  • –Independent evaluations of accuracy, latency, and cost will determine whether its benchmark lead holds in production
// TAGS
hyperresearchagentsearchmcpapiopen-sourceevaluation

DISCOVERED

1h ago

2026-11-02

PUBLISHED

6h ago

2026-11-02

RELEVANCE

9/ 10

AUTHOR

Jordan Gibbs