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Fiber AI Job Description Search
contactsemailphoneenrichmentdata
Fiber AI Job Description Search is a paid API for AI agents from Fiber AI API at mpp.orthogonal.com, paid per call via MPP, $0.54/call, status unknown (last checked 2026-10-09).
Converts a job description text into search parameters and returns a list of LinkedIn profiles matching the role requirements
Price / call$0.54
Success—
StatusUnknown
How this service works
Search for profiles matching a job description using natural language. Converts JD text to search params and returns matching candidates.
Output
A list of LinkedIn profiles with verified contact details (email, phone) for professionals whose backgrounds match the job description, along with the derived search parameters used to find them.
Example use cases
Recruiting candidates from a job posting
“We just posted an opening for a Product Manager on our careers page. Can you search our database for LinkedIn profiles of people who match what we're looking for — someone with 7+ years in PM, experience launching B2B SaaS products, and ideally some background in healthcare tech?”
Sourcing talent for an urgent role
“We need to fill a Data Scientist position ASAP. Here's the job description we drafted: 'Looking for someone with 3+ years in machine learning, expertise in Python and SQL, and experience with cloud platforms like AWS or GCP.' Can you find me a list of matching candidates with their contact info?”
Building a candidate pipeline from JD
“I have this job description for a Solutions Architect role that we're planning to open next quarter. Can you extract the key requirements and find me a list of LinkedIn profiles of people who would be a good fit — ideally people we can reach out to proactively?”
Technical details
Endpoint
POSThttps://mpp.orthogonal.com/fiber/v1/natural-language-search/job-description-search?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have a job description or role specification in natural language and want to find matching candidate profiles without manually constructing structured search filters. It is preferable over the structured profile search endpoint when the input is unstructured JD text, and over the plain natural language profile search when the source content is specifically a job description format.
Side effects
- Job description text too vague or short to extract meaningful search parameters
- No matching profiles found for the given role requirements
- Rate limit exceeded for the account
- Invalid or missing job description body payload
- Network timeout for complex or broad JD queries
Tags
contactsemailphoneenrichmentdata
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