General
PromptBeginner5 minmarkdown
dict with company profile including industry
size
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General
PromptBeginner5 minmarkdown
basic_info = search_company_info(company_name
domain)
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General
PromptBeginner5 minmarkdown
domain: Company domain (optional
will be inferred)
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Coding & Debugging
PromptBeginner5 minmarkdown
In production
would call news APIs.
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General
PromptBeginner5 minmarkdown
) -> dict[str
Any]:
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General
PromptBeginner5 minmarkdown
In production
would call BuiltWith
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General
PromptBeginner5 minmarkdown
In production
would call Crunchbase
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General
PromptBeginner5 minmarkdown
def search_recent_news(company_name: str
days: int = 90) -> list[dict]:
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General
PromptBeginner5 minmarkdown
domain: domain or f{company_name.lower().replace(' '
'')}.com
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Coding & Debugging
PromptBeginner5 minmarkdown
industry: Technology
# Would come from API
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Coding & Debugging
PromptBeginner5 minmarkdown
In production
this would call APIs like Clearbit
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Data
PromptBeginner5 minmarkdown
from dataclasses import dataclass
asdict
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General
PromptBeginner5 minmarkdown
# Requirements: requests
beautifulsoup4
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General
PromptBeginner5 minmarkdown
def search_company_info(company_name: str
domain: str = None) -> dict:
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General
PromptBeginner5 minmarkdown
- Known technologies (BuiltWith
StackShare)
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General
PromptBeginner5 minmarkdown
- requests
beautifulsoup4
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General
PromptBeginner5 minmarkdown
- Founded date
growth stage
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General
PromptBeginner5 minmarkdown
- Company name
industry
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General
PromptBeginner5 minmarkdown
Success Criteria: [Helpful
actionable error message]
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General
PromptBeginner5 minmarkdown
description: Expert guidance on analyzing financial statements
identifying trends
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General
PromptBeginner5 minmarkdown
Expected Output: [Structured
comprehensive analysis]
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General
PromptBeginner5 minmarkdown
Input: [Complex
multi-faceted input]
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General
PromptBeginner5 minmarkdown
Input: [Standard
well-formed input]
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General
PromptBeginner5 minmarkdown
Expected Output: [Specific
detailed output]
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