Category
Talent Data APIs
Pricing
Custom
Best for
In-house TA engineering teams at tech companies building custom sourcing tools on verified candidate APIs instead of buying UI-only platforms
HQ
San Francisco, United States
Available in
Global
Capabilities
Tags
Best for
- In-house TA engineering teams at tech companies building custom sourcing tools on verified candidate APIs instead of buying UI-only platforms
- RPO providers running proprietary AI matching engines needing real-time profile enrichment at variable query volumes
- Recruitment-tech vendors embedding candidate data into their own products without committing to static seat licenses
Top use cases
- Pull verified work history via REST, replace manual profile lookups
- Enrich inbound applicant batches overnight, surface hidden skills
- Feed candidate signals into AI agent, score profile fit
What is Fiber.ai?
Fiber.ai exposes a professional data API purpose-built for talent acquisition teams needing verified candidate records. The platform lets recruiters and HR tech engineers programmatically pull profile data, work history, and company relationships directly into sourcing pipelines. API-first architecture suits teams building internal recruiting tools on top of verified data rather than buying static UI-only platforms. Pay-per-call pricing works for teams with variable enrichment volumes rather than committing to annual seat-based contracts. Teams use it to power AI sourcing agents that need real-time talent signals for candidate-to-role matching.
What are Fiber.ai's key features?
REST API for programmatic candidate data access
Verified professional profile information
Real-time data updates
Batch query capabilities for large-scale recruitment
Integration with existing ATS and recruiting platforms
How do staffing agencies use Fiber.ai?
- Pull verified work history via REST, replace manual profile lookups
- Enrich inbound applicant batches overnight, surface hidden skills
- Feed candidate signals into AI agent, score profile fit
Who is Fiber.ai best for?
- In-house TA engineering teams at tech companies building custom sourcing tools on verified candidate APIs instead of buying UI-only platforms
- RPO providers running proprietary AI matching engines needing real-time profile enrichment at variable query volumes
- Recruitment-tech vendors embedding candidate data into their own products without committing to static seat licenses
What are Fiber.ai's pros and cons?
Pros
- API-first architecture enables seamless integration into existing recruiting workflows and custom tools
- Verified professional data reduces time spent validating candidate information
Cons
- Website security checkpoint prevents access to detailed product information and pricing
- Limited publicly available documentation on data coverage, accuracy rates, and API capabilities
How does Fiber.ai compare to alternatives?
| Feature | Fiber.ai | Apollo | Hunter |
|---|---|---|---|
| Category | Talent Data APIs | Talent Data APIs | Data Enrichment |
| Pricing | Paid | Free | Free |
| AI-first | |||
| API | |||
| MCP | |||
| GDPR | |||
| Best for | In-house TA engineering teams at tech companies building custom sourcing tools on verified candidate APIs instead of buying UI-only platforms | Staffing agencies running high-volume cold outbound to hiring managers where verified contact data cuts bounce rates | Agency sourcers building cold outreach lists for niche roles where candidate emails aren't in ATS or public profiles |
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Frequently asked questions about Fiber.ai
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