What is Fiber?
Fiber is an AI API built for B2B data access across sales, recruiting, and go-to-market workflows. Developers spend hours cobbling together disparate data sources, only to hit rate limits, stale records, or no self-serve access at all. Fiber changes that by giving you a single API surface for prospecting, enrichment, and audience building.
This AI API covers people search, company search, contact reveal, live LinkedIn enrichment, and much more. It’s designed for developers wiring enrichment into product signups, sales teams building outbound pipelines, recruiting teams sourcing candidates at scale, and AI agent builders who need real B2B data inside automated workflows.
Features & Benefits
- People Search: filter B2B contacts by seniority, department, industry, geography, and technology signals; run a free count before paginating to gate spend before any credits are charged.
- Company Search: filter companies by industry, headcount, funding stage, geography, and tech stack; resolve identifiers and find lookalike accounts from a seed company.
- Natural Language Search: send a plain-English query to this AI API and get back a structured list of matching companies or people, no filter tree required.
- Work Email Reveal: uncover verified work email addresses in instant, lite, turbo, exhaustive, and batch modes; single and bulk contact reveal run in the same workflow.
- Phone Number Lookup: reveal premium phone numbers for individual contacts.
- Live LinkedIn Enrichment: fetch real-time LinkedIn profile and company snapshots on any self-serve API key; person profiles return 44+ fields by default with no field selector needed.
- Data Freshness Timestamps: every API response includes timestamps so you can verify how current the data is independently.
- GitHub to LinkedIn Mapping: match GitHub handles to LinkedIn profiles, then reveal contact details on selected results.
- Contact Enrich from Name and Company: find a work email using just a name and company domain, no LinkedIn URL required.
- Reverse Lookup: identify a person or company from an email address or phone number.
- Audience Builder: create server-side prospect lists with explicit build, cost estimate, enrich, and CSV export steps; manage exclusion lists for companies and prospects.
- Job Description Matching: translate a job description into candidate search filters to build a shortlist via this AI API.
- Saved Searches: save filter sets and run them manually or on a schedule; access new results per run.
- Job Change Tracking: monitor tracker lists for people and companies; receive signals when tracked profiles change roles or employers.
- Company Intelligence: pull scouting reports, revenue estimates, department headcounts, talent flow data, and org depth charts for target accounts.
- Stealth Founder Search: find active or ex-stealth founders using structured filters.
- Social Media Data: fetch profiles, posts, comments, reactions, and transcripts across X, Instagram, TikTok, Reddit, and YouTube.
- LinkedIn Activity Feeds: access company posts, profile posts, post reactions, comments, and keyword-based post search in real time.
- Google Maps Business Search: run local business searches and pull SMB data via the same API.
- Job Postings Search: search active job listings with count endpoints for scoping.
- Market Intelligence Lookups: search flights, hotels, real estate listings, and financial instruments via structured API endpoints.
- Email and Phone Validation: verify email deliverability and phone number validity before outreach.
- CSV Data Healing: standardize and repair messy LinkedIn identifier data in bulk uploads.
- Agent Playbooks: paste ready-to-run prompts into a coding agent to chain Fiber API calls into full end-to-end workflows covering search, enrichment, reveal, and outreach.
- OpenFiber Reference UI: fork an open-source prospecting frontend built on this AI API; ships with search, enrichment, audiences, export formats for LinkedIn, Google, and Meta Ads, and a usage dashboard.
- TypeScript and Python SDKs: install official SDKs for Node.js 18+ or Python 3.9+ and call any public operation with one command.
- Agent and MCP Integration: connect via MCP V2 (API key), V3 (OAuth/SSO), or Core (meta-tools) modes, or use the first-party coding agent plugin with built-in SDR and recruiting personas.
- Webhook Support: configure endpoints to receive event-driven signals from tracker lists and enrichment jobs.
- Per-Call Cost Controls: get cost metadata on every API response, set credit limits per API key, and estimate enrichment spend before triggering any paid operation.
- Machine-Readable Docs: access llms.txt, per-operation markdown, and an OpenAPI schema built for AI agents and developers.
What can Fiber do?
- Search B2B contacts by seniority and department
- Find companies by industry and funding stage
- Search B2B data with plain-English queries
- Reveal work email addresses in bulk
- Enrich LinkedIn profiles in real time
- Map GitHub profiles to LinkedIn contacts
- Build and export prospect audiences
- Match job descriptions to candidate profiles
- Track job changes for people and companies
- Pull company scouting and talent flow reports
- Reverse lookup contacts from email or phone
- Search stealth founders
- Fetch social media profiles and post data
- Search LinkedIn activity by keyword
- Validate email addresses before outreach
- Search local businesses via Google Maps data
- Search and retrieve YouTube video transcripts
- Search active job postings
- Run end-to-end prospecting workflows inside a coding agent
Real-World Applications
You can wire Fiber directly into whatever you’re already building. Whether your project needs a quick enrichment call on a signup form or a full multi-step audience pipeline, the API covers both without requiring you to stitch together separate vendors.
A developer building an AI sales development representative product can use this AI API to power every data step in the workflow. People search with ICP filters, work email reveal with built-in cost estimates, and live LinkedIn enrichment all run through the same endpoints. The credit controls let the agent gate spend before committing to a full reveal batch.
Recruiting teams sourcing engineering talent may start with GitHub contributor lists and map those handles to LinkedIn profiles before revealing contact details on the candidates worth pursuing. The job description matching feature can also cross-check whether the filter set is pulling the right seniority and skills before the team spends credits enriching a long tail.
Sales agencies running outbound for clients can build persistent audience lists against defined ICP filters, estimate enrichment cost before triggering it, and export to CSV for delivery. Exclusion lists keep already-contacted companies and prospects out of future builds. This AI API also surfaces company intelligence like talent flow and department size to help prioritize which accounts to work first.
A founder or indie developer who wants a working prospecting interface without building one from scratch can fork OpenFiber, the open-source reference frontend, restyle it, and ship it inside their own product. It covers search, enrichment, audiences, and multi-format CSV export out of the box, and only needs a Fiber API key to run.
