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Fiber AI Natural Language Company Search
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Fiber AI Natural Language Company Search is a paid API for AI agents from Fiber AI API at mpp.orthogonal.com, paid per call via MPP, price unknown, status unknown (last checked 2026-10-09).
Accepts a free-form natural language description of companies and returns a list of matching companies that fit the criteria
Price / call—
Success—
StatusUnknown
How this service works
Takes free-form text (e.g., 'Series A startups in USA with 50–200 employees') and returns a list of matching companies. The endpoint interprets natural language queries and applies structured filters such as industries, funding stages, headcount ranges, and locations to identify relevant companies. Pagination billing: call the first page normally and save billing.requestId from the Orthogonal /v1/run response. For later page, offset, or cursor calls on the same logical search, pass parentRequestId with unchanged non-pagination parameters. Valid continuation calls still get their own request IDs and quoted price, but are charged 0. Changing filters starts a new billable request.
Output
A list of companies matching the natural language description, likely including company names, sizes, locations, funding stages, and other firmographic details for each matched company.
Example use cases
Identify acquisition targets in competitor space
“Can you search for B2B SaaS companies in North America that raised Series B funding within the last 18 months and have between 100 and 500 employees? I want to see which ones might be good acquisition candidates for our portfolio.”
Discover emerging climate tech players
“Find me a list of climate tech and sustainability-focused startups founded after 2021 that are based in Europe and have raised at least Series A funding. I need to understand who the emerging players are in this space.”
Map regional fintech innovation hubs
“Search for fintech startups across Southeast Asia with 20 to 150 employees that have received recent venture funding. I'm trying to identify which countries and cities are becoming fintech innovation hubs in that region.”
Technical details
Endpoint
POSThttps://mpp.orthogonal.com/fiber/v1/natural-language-search/companies?utm_source=zero.xyzWhen to prefer
Use this endpoint when you want to discover companies using a conversational, free-form description rather than structured filters. It is ideal for exploratory searches where you do not know the exact filter parameters upfront, or when the criteria are complex enough that natural language is more expressive than checkboxes. Prefer the structured Company Search endpoint if you have precise, enumerable filter values and need deterministic, reproducible queries.
Side effects
- Ambiguous or overly broad natural language query returns too many irrelevant results
- Very niche or highly specific queries may return zero results
- Query cannot be parsed into meaningful filters, returning an error or empty list
- Rate limiting or authentication errors if API key is invalid or quota exceeded
Tags
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