How do I get weekly refreshed data from Fiber AI?

Most teams come to Fiber AI because they’re tired of stale contacts, dead LinkedIn links, and one-off CSV purchases that decay in weeks. If you’re asking how to get weekly refreshed data from Fiber AI, what you really want is a predictable, automated way to keep your people, company, and job data “always live” inside your own systems.

Below is exactly how to do that using Fiber AI’s live APIs and MCP endpoints.

The Quick Overview

What It Is: A live B2B data API suite you can call weekly (or more often) to re-run your audiences and refresh contacts, companies, and jobs with the latest information.
Who It Is For: Growth, sales, and recruiting teams (and AI agents) that need their CRM, warehouse, or workflows updated on a fixed cadence without rebuilding lists manually.
Core Problem Solved: Your prospect and candidate data goes stale fast. Fiber AI lets you re-pull and re-verify your audiences on a weekly schedule from 100+ data sources, so your campaigns don’t die on bad data.

How It Works

At a high level, you don’t “download a database once” from Fiber AI—you define the audience and let our APIs rebuild and re-verify that audience every week.

You’ll typically combine:

Search endpoints (people search, company search, job search, natural-language search) to re-generate the list.
Enrichment endpoints (email-to-person, contact enrichment, reverse email lookup, LinkedIn live fetch) to refresh fields and verify contactability.
A scheduler (cron job, Airflow, Dagster, GitHub Actions, or your agent framework) to run the same queries every week.

Here’s the basic pattern:

Define your weekly audience (once).
Lock in your filters or natural-language query that describe your ICP, target accounts, or candidate profile.
Set up a scheduled job to re-run search.
Every week, your script hits the Fiber AI APIs with the same query, pulls down new/changed records, and writes them to your CRM/warehouse.
Refresh and verify contacts.
For each record, call Fiber’s enrichment endpoints. You only pay for successful calls (data found), and waterfall validation + 4 layers of bounce detection keep your bounce rates near zero.

Features & Benefits Breakdown

Core Feature	What It Does	Primary Benefit
People & Company Search APIs	Rebuild prospect and account lists from structured filters (title, headcount, funding, tech stack, growth, etc.).	Weekly audience refresh without manual exports from LinkedIn or static tools.
Weekly Enrichment via Email→Person & Contact Enrichment	Given an email (work or personal), returns a full, up-to-date profile and verified contacts.	Keeps CRM records fresh, recovers work identity from personal signups, and protects deliverability.
Real-Time LinkedIn Fetch & Job/Signal Filters	Pulls live LinkedIn profiles/companies and searches via funding, hiring, headcount growth, and keywords.	Surfaces new opportunities each week that LinkedIn Sales Navigator and static providers miss.

Step-by-Step: Setting Up Weekly Refreshed Data

Below is a concrete implementation pattern you can follow. You can do this in any language; I’ll describe it at an architectural level.

1. Choose what you want refreshed weekly

Most teams start with one of:

Prospects: e.g., “US-based Senior AEs at B2B SaaS companies, 50–500 employees, growing headcount, using Salesforce.”
Target accounts: e.g., “YC-backed Series A–C companies hiring for GTM roles, headcount growing QoQ.”
Candidates: e.g., “Staff+ backend engineers at FAANG alumni companies, promoted in the last 18 months.”
Inbound signups: e.g., “All signups from the past week with personal emails—map them to work identities.”

Define this as either:

A structured query (fields/filters) to people search, company search, or job search.
A natural-language query if you want Fiber’s agentic search to aggregate from 100+ sources for you.

2. Build a repeatable Fiber AI query

Use a search endpoint that matches your goal:

people_search for building contact lists.
company_search for target accounts and account-level attributes.
job_search for identifying companies hiring for specific roles (tech stack, titles, locations) as a proxy for intent.
Natural-language search (agentic) if you want to express the ICP in plain English and let the engine compose micro-queries.

Example ICP you might encode:

Titles: “Head of Revenue Operations,” “VP Sales Operations”
Company size: 50–1000 employees
Funding: Seed–Series C, YC-backed
Signals:
- Headcount growth > 15% YoY
- Currently hiring for SDR/AE roles
- Using tools like HubSpot, Salesforce
Location: US & Canada

Lock this into a script as a JSON payload so you can reuse it weekly.

3. Set up a weekly scheduler

You want something that fires once a week, calls Fiber, and writes to your systems:

Common options:

Cron job on a server/EC2 instance
Airflow / Dagster scheduled DAG
GitHub Actions or GitLab CI (on a weekly schedule)
Your AI agent framework (e.g., “every Monday, refresh ICP X via Fiber”)

The job should:

Call the Fiber search endpoint with your ICP query.
Compare the results to what you already have:
- New records → insert
- Existing records → mark for enrichment/refresh
Optionally store a hash or last_seen timestamp to track changes between runs.

4. Enrich and verify on every refresh

This is where Fiber’s unique endpoints matter.

For each person/company you care about:

If you have an email (work or personal):
Use email→person (reverse email lookup) to:
- Resolve personal emails to their work identity (company, title, LinkedIn).
- Refresh job title, company, seniority, location, and more.
If you only have LinkedIn URL/name + company:
Use LinkedIn live fetch + contact enrichment to:
- Pull the latest profile from LinkedIn in real time.
- Get verified work emails, personal emails, and phones.
If you have old CRM rows with missing/dirty fields:
Run them through contact enrichment weekly to:
- Repair broken links, update titles, and refill missing data.
- Apply waterfall validation and four layers of bounce detection.

Because Fiber only charges credits on successful calls (data found), your weekly refresh stays cost-efficient even at large scale.

5. Deduplicate and write into your systems

On each weekly run:

Deduplicate by stable IDs
Use a consistent key (email, Fiber’s person ID, or LinkedIn URL) to avoid duplicates.
Upsert into CRM/warehouse
For each contact/company:
- Insert if new.
- Update key fields (title, company, seniority, location, tech stack, hiring signals, etc.) if changed.
Track provenance
Store last_refreshed_at and source = fiber_ai so RevOps and data teams trust the records.

Features & Benefits Breakdown (Weekly Refresh Angle)

Core Feature	What It Does Weekly	Primary Benefit
People Search + Natural-Language Search	Rebuilds your ICP audience every week from 100+ data sources.	You automatically pick up new prospects and role changes without touching LinkedIn.
Email→Person & Reverse Lookup	Re-resolves personal or stale emails to current work identities.	Recovers pipeline from personal signups and keeps segments tied to the right accounts.
Real-Time LinkedIn Fetch	Pulls updated profile/company data at the moment of your refresh.	No more “this LinkedIn is outdated” complaints from reps or recruiters.

Ideal Use Cases

Best for weekly outbound list refresh:
Because you can re-run the same ICP search and enrichment every week, pick up net-new leads, detect job changes, and keep sequences targeted—without paying for static CSV drops from Apollo/ZoomInfo.
Best for candidate pipeline maintenance:
Because you can detect promotions, company changes, and new roles via people search + LinkedIn live fetch, then update your ATS or talent CRM weekly so recruiters only reach out to relevant, in-market candidates.

Limitations & Considerations

You need a scheduler or workflow runner:
Fiber is an API layer, not a cron service. You’ll still need something (cron, Airflow, CI, an AI agent scheduler) to call Fiber on a weekly cadence. If you’re not sure how to set that up, we’ll walk you through it on a demo.
You should constrain scope to stay efficient:
Weekly refresh doesn’t mean “pull the entire world.” Start with clearly defined ICPs and segments (e.g., your top 5 territories or top 10k accounts) to keep costs low and impact high.

Pricing & Plans

Fiber’s pricing is credit-based and success-based: you only pay when we actually find data.

This works well for weekly refresh because:

You’re not paying to re-download unchanged, empty, or missing records.
You can gradually expand segments (more titles, more geos) without renegotiating a big flat-fee contract.

Typical pattern:

Prospector plan: Best for lean teams needing a single, well-defined weekly refresh (e.g., one core ICP list kept fresh for sales or recruiting). Paid monthly or annually, with enough credits to search + enrich your high-value segments.
Growth / Custom plan: Best for teams wiring Fiber into core infrastructure (CRM, warehouse, in-house AI agents) and needing multiple weekly refresh jobs, higher rate limits, and custom endpoints. You’ll usually get a dedicated Slack channel, higher throughput, and the ability to request bespoke endpoints.

For detailed pricing, we’ll calibrate based on:

Number of records you want refreshed weekly.
Mix of search vs. enrichment calls.
Required rate limits and SLAs.

Frequently Asked Questions

Can Fiber AI push weekly refreshed data directly into my CRM?

Short Answer: Not natively, but it’s straightforward via your own scripts or iPaaS.

Details:
Fiber exposes live APIs; we don’t log into your Salesforce or HubSpot. Instead, you:

Run a weekly job that:
- Calls Fiber search to rebuild your audience.
- Calls enrichment endpoints as needed.
Use your CRM’s API (or tools like Zapier/Make/Workato/Airbyte/Fivetran) to upsert contacts and accounts.

Most teams have a small internal script that acts as the bridge. If you share your stack, we can show the exact pattern for Salesforce, HubSpot, or your warehouse.

How do I avoid paying twice for the same contact every week?

Short Answer: De-duplicate locally and only enrich when you need updated data.

Details:
Fiber charges credits when data is found, but you stay efficient by:

Caching and deduping: Store Fiber IDs, emails, and LinkedIn URLs; skip re-enrichment if nothing meaningful has changed since last week.
Segmenting: Only re-enrich high-impact segments (active opps, open roles, top-tier accounts) weekly; lower-priority segments can be monthly or on-demand.
Smart triggers: Combine weekly refresh with event-based triggers (e.g., new job postings, funding rounds, headcount growth) so you only “pay again” when there’s a real change worth acting on.

We can help you tune this so you get the benefit of weekly freshness without over-usage.

Summary

To get weekly refreshed data from Fiber AI, you don’t need a new product—you need a simple, repeatable workflow:

Lock in your ICP with Fiber’s people/company/job search or natural-language search.
Schedule a weekly job that re-runs those queries.
Use Fiber’s email→person, contact enrichment, and LinkedIn live fetch to keep every record verified and current.
Upsert results into your CRM or warehouse so your reps, recruiters, and AI agents always work from live data.

You get more coverage than LinkedIn, cleaner contacts than legacy vendors, and you only pay when data is actually found.

Next Step

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