LocalPerks - Local Loyalty Coalition

Model: perplexity/sonar-deep-research
Status: Completed
Cost: $9.97
Tokens: 2,834,679
Started: 2026-01-05 14:52

Analysis Provenance

Project Name LocalPerks - Local Loyalty Coalition
Generated At 2026-01-05 15:08:45 UTC
AI Model perplexity/sonar-deep-research
Execution Mode Sequential
Total Time 16m 39s
Tool Version VenturePulse v2.0

Cost Breakdown

Section Tokens Cost (USD)
01. Executive Summary 368,716 $1.28
02. Market Landscape 427,891 $1.53
03. User Stories 395,257 $1.39
04. Comparable Companies 407,150 $1.42
05. User Research 409,560 $1.41
06. Validation Experiments 417,002 $1.46
07. Technical Feasibility 409,103 $1.47
08. Competitive Advantage 0 $0.00
09. Business Model 0 $0.00
10. Legal & Compliance 0 $0.00
11. MVP Roadmap 0 $0.00
12. Customer Journey 0 $0.00
13. Go-to-Market 0 $0.00
14. Partnerships 0 $0.00
15. Expansion Plan 0 $0.00
16. Success Metrics 0 $0.00
17. Funding Strategy 0 $0.00
18. Exit Strategy 0 $0.00
19. Pitch Narrative 0 $0.00
TOTAL 2,834,679 $9.97

Failed Sections (12)

Section Error
08. Competitive Advantage Unexpected error: 'int' object has no attribute 'lower'
09. Business Model Unexpected error: 'int' object has no attribute 'lower'
10. Legal & Compliance Unexpected error: 'int' object has no attribute 'lower'
11. MVP Roadmap Unexpected error: 'int' object has no attribute 'lower'
12. Customer Journey Unexpected error: 'int' object has no attribute 'lower'
13. Go-to-Market Unexpected error: 'int' object has no attribute 'lower'
14. Partnerships Unexpected error: 'int' object has no attribute 'lower'
15. Expansion Plan Unexpected error: 'int' object has no attribute 'lower'
16. Success Metrics Unexpected error: 'int' object has no attribute 'lower'
17. Funding Strategy Unexpected error: 'int' object has no attribute 'lower'
18. Exit Strategy Unexpected error: 'int' object has no attribute 'lower'
19. Pitch Narrative Unexpected error: 'int' object has no attribute 'lower'
Disclaimer: This analysis was generated by AI and should be used as a starting point for decision-making, not as definitive business advice. Always validate assumptions with real market research and domain experts.