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Data Platform · Integration

MongoDB Atlas

Sourcing.sh connects the AI ​​agent data index to MongoDB Atlas. Your agents and applications access a managed and up-to-date document repository.

Study the connection to MongoDB AtlasSee MongoDB Atlas ↗

What Sourcing.sh communicates with MongoDB Atlas

Send the data

sourcing.sh pushes companies, profiles and fresh offers into your tool.

Refresh the data

Your records are re-crawled and updated continuously — the data no longer dies.

The index is delivered in MongoDB Atlas collections and refreshed automatically. Your AI agents and apps leverage fresh data searchable by the Documents API, ready to use in the cloud, with no ingestion pipeline to build or maintain.

This record describes a compatibility to study. Availability, data exchanged, required rights and any costs are confirmed before activation. General API and webhooks require Scale.

Your workflow

The right data. The right action.

New information, a detected change or a record to complete: your agent checks the data and applies the rules you defined.

Create a record, update approved fields or request human approval: you stay in control before data reaches your tool.

Define my workflow

How it works

  1. 01

    Frame the connection to MongoDB Atlas

    Confirm compatible objects and necessary rights: OAuth, API key or export.

  2. 02

    Define exchanges

    Choose the fields to complete and the update rules in MongoDB Atlas.

  3. 03

    Plan the checks

    Choose the cadences and actions to trigger when a change is detected.

Discover the API

Your next step

Turn data into action.

Find the right contacts, keep your data up to date and connect your tools.

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