Overview
Databar is a data enrichment platform for GTM teams. Users build lists in a spreadsheet-style table, enrich them with 160+ integrations covering 100+ data providers, and send the results to a CRM, a sequencer, or their own tools through the Databar REST API, Python SDK, CLI, or MCP server. Enrichments can be chained into waterfalls that fall back from one provider to the next, grouped into automated flows, and combined with an AI Research Agent for open-ended research steps.
PredictLeads is available natively in Databar as a company signal provider. Users can run it on Databar's own PredictLeads connection and pay per result in Databar credits, or connect their own PredictLeads API key and run on their PredictLeads plan. Databar bills for results: users pay for successful requests and are not charged for requests that return no data or an error.
The integration fits teams running signal-based outbound, waterfall enrichment, and account scoring, as well as teams that want PredictLeads signals available to AI agents and scripts without building against the raw API.
Why use PredictLeads with Databar?
A company record tells you who an account is. PredictLeads tells you what it is doing now: who it is hiring, what it raised, who it partners with, what it is shipping. In Databar those signals sit as columns next to the rest of the record, so they can be filtered, scored, combined with other providers, and pushed downstream in one pass.
Available PredictLeads enrichments in Databar
The input for all of them is the company domain or website. Other PredictLeads endpoints can be called from Databar's custom HTTP API enrichment.
Job openings at company
All current open roles at a company.
Company news
Recent news tagged as investments, acquisitions, partnerships, or other.
Financing events
Funding and fundraising rounds for a company.
Company connections
Partnerships, vendors, and integrations.
Company GitHub repositories
Public repositories tied to the company.
Startup postings online
Product Hunt and Hacker News posts by startups.
Connect PredictLeads to Databar
Create a free Databar account
Sign up at databar.ai. Every workspace starts with free trial credits and no credit card is required.
Add a PredictLeads enrichment
Open a table, add a column, and pick any PredictLeads enrichment. It runs on Databar's connection by default, so no PredictLeads account is needed.
Optional: use your own PredictLeads key
Click the arrow next to your workspace name, choose Manage Integrations, select PredictLeads, and click Add authentication credentials. Requests made with your own key use no Databar credits.
Example workflow: signal-based account prioritization
Import a domain list
Start from a CSV, a CRM pull from HubSpot, Salesforce or Attio, or a Databar company search.
Add PredictLeads columns
Add columns for job openings, financing events, and company news.
Run the enrichment
Run it across all rows. Rows that return nothing cost nothing.
Score and filter
For example, companies hiring in sales with a funding round in the last six months.
Push the shortlist downstream
Send it to your CRM or sequencer with an exporter, or hand it to an AI agent through the Databar MCP server.
Use cases by team
Sales
- Personalize outreach on hiring and funding signals
- Prioritize accounts that are growing
Growth and GTM
- Build target account lists from signals instead of static firmographics
- Segment by what companies are doing
RevOps
- Standardize PredictLeads enrichment in one table
- Run waterfalls across providers
- Route high-intent accounts to the CRM automatically
Developers and AI builders
- Pull PredictLeads signals through Databar's API, SDK, CLI, or MCP server
- Skip managing a separate integration
Agencies
- Build reusable flows per client
- Run repeatable account discovery
Resources
PredictLeads on Databar
Databar docs
API Documentation
Need help?
Reach the Databar team at info@databar.ai