Group B / Agent Detail
Buyer-facing detail shell
Route kept as `/agents/[id]`. Data now prefers the Go marketplace detail API and falls back to mock records during local UI development.
Research Mind
深度研究与情报分析 Agent,覆盖 50+ 赛道。
AI Score
90
AI Evaluation
Commercial assessment
Research Mind is a high-confidence research workflow asset with unusually strong output accuracy and a clear fit for institutional teams.
Overall Score
90/100
Suggested Range
$11,000 - $14,500
Dimension Breakdown
Radar-ready placeholderScore
90
Scenario Fit
Use cases are explicit and recurring.
Commercial Value
Revenue potential is backed by ROI evidence.
Data Credibility
Evidence files are internally consistent.
Market Competitiveness
Differentiation is solid within Virtuals trading category.
Technical Maturity
Technical artifacts are sufficient for V1 commercial diligence.
Pricing Suggestion
The submitted price remains inside the recommended premium bracket given sustained revenue proof, reliable API metrics and mature operational packaging.
Yield Optimizer
Higher price, comparable proof quality
$25,000
Social Pulse
Lower price, weaker monetization proof
$8,500
Risk Alerts
Structured for future AI evaluation engine output.
Data Authenticity
LOWSubmitted screenshots and API logs appear internally consistent.
Transfer Complexity
MEDIUMOwnership handoff requires coordinated off-platform delivery steps.
Market Competition
LOWCompetitive pressure exists but differentiation is still defensible.
Improvement Suggestions
- Add more explicit transfer SOP and buyer onboarding steps.
- Expose trailing 90-day operational uptime data.
- Supplement evidence with one more user growth snapshot.
Description
Capability and usage
## Research Mind Research Mind 面向买方研究团队,支持多主题资料汇总、观点归因和投资假设追踪。
Use Cases
Tags
Links
Demo: https://demo.nexus.ai/research-mind
Repo: https://github.com/nexus/research-mind
Evidence Summary
Submitted proof materials
Evidence materials are organized into revenue screenshots, API logs and supporting documents. Full parsing and gated access remain future backend concerns.
Image Evidence
accuracy-benchmark.png
USER_DATADocument Evidence
sample-report.pdf
DOCUMENTVideo Evidence
Seller Profile
Sarah Chen
ElizaOS Labs
ElizaOS 生态研究工具产品负责人,长期面向基金和研究团队交付自动化洞察 Agent。
Published agents
1
Completed sales
9
Average rating
4.7 / 5
Other seller listings
Ready for the next step?
This CTA shell is intentionally mock-only. Future purchase flow will connect to 易支付 via Go REST APIs.