Company Funding Search

Get funding history, investors, and investment details for companies. Two APIs available:

•Nyne: Look up specific company's funding history
•Fiber: Search companies by funding stage/criteria

When to Use

•User asks "how much funding has [company] raised?" → Nyne
•User wants to know who invested in a company → Nyne
•User wants to find companies by funding stage → Fiber
•User asks "find Series B AI companies" → Fiber
•Targeting companies by funding criteria → Fiber

Option 1: Nyne (Specific Company Lookup)

Best for: Looking up a known company's funding history and investors.

Get Company Funding History

Step 1: Start the lookup (POST)

bash

orth run -X POST nyne /company/funding -d '{"company_name":"Anthropic"}'

Returns a request_id. Then poll:

Step 2: Poll for results (GET)

bash

orth run nyne /company/funding -q request_id=YOUR_REQUEST_ID

<details> <summary>curl equivalent</summary>

bash

# Step 1: Start lookup
curl -X POST https://api.orth.sh/v1/run/nyne/company/funding \
  -H "Authorization: Bearer $ORTHOGONAL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"company_name":"Anthropic"}'

# Step 2: Poll for results
curl "https://api.orth.sh/v1/run/nyne/company/funding?request_id=YOUR_REQUEST_ID" \
  -H "Authorization: Bearer $ORTHOGONAL_API_KEY"

</details>

Get Company Investors/Funders

bash

orth run -X POST nyne /company/funders -d '{"company_domain":"stripe.com"}'

<details> <summary>curl equivalent</summary>

bash

curl -X POST https://api.orth.sh/v1/run/nyne/company/funders \
  -H "Authorization: Bearer $ORTHOGONAL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"company_domain":"stripe.com"}'

</details>

Nyne Parameters

•company_name - Company name (e.g., "Anthropic") - works better
•company_domain - Company domain (e.g., "anthropic.com")

Option 2: Fiber (Search Companies by Funding)

Best for: Finding companies by funding stage, industry, location, etc.

Natural Language Company Search

bash

orth run -X POST fiber /v1/natural-language-search/companies -d '{"query":"AI companies that raised Series B in 2024","limit":10}'

<details> <summary>curl equivalent</summary>

bash

curl -X POST https://api.orth.sh/v1/run/fiber/v1/natural-language-search/companies \
  -H "Authorization: Bearer $ORTHOGONAL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query":"AI companies that raised Series B in 2024","limit":10}'

</details>

Investor Search

Search for investors/VCs (filter-based, not natural language):

bash

orth run -X POST fiber /v1/investor-search -d '{"searchParams":{},"limit":10}'

<details> <summary>curl equivalent</summary>

bash

curl -X POST https://api.orth.sh/v1/run/fiber/v1/investor-search \
  -H "Authorization: Bearer $ORTHOGONAL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"searchParams":{},"limit":10}'

</details>

Returns top investors with:

•Total investments, lead rate
•Investment breakdown by stage
•Recent investments
•LinkedIn, logo, social links

Fiber Response Includes

•Company name, domain, LinkedIn
•Funding rounds with dates and amounts
•Investors per round (lead vs participating)
•Employee count, location, industry
•Total funding, latest funding stage
•Similar companies

When to Use Which

Use Case	API	Endpoint
"How much has Anthropic raised?"	Nyne	/company/funding
"Who invested in Stripe?"	Nyne	/company/funders
"Find Series A AI startups"	Fiber	/v1/natural-language-search/companies
"Find top VCs"	Fiber	/v1/investor-search
"Companies that raised $10M+ in 2024"	Fiber	/v1/natural-language-search/companies

Error Handling

•Nyne is async: POST returns request_id, poll with GET — results take 5-20 seconds
•404 — Company not found; try alternate name or domain
•429 — Rate limit exceeded; wait and retry
•Fiber returns empty results for very niche queries — broaden search terms
•company_name works better than company_domain for Nyne lookups

Tips

•Nyne is async: Start with POST, poll with GET using request_id (5-20 seconds)
•Fiber is sync: Returns results immediately
•company_name > company_domain for Nyne lookups
•Fiber's natural language search is very flexible - just describe what you want
•Fiber returns rich company data including similar companies