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MIDAS Data Ingestion

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Overview

Securely pushes shipment data to MIDAS backend using Google SSO.

MIDAS Data Ingestion: Automated Shipment Extraction & Margin Analysis The MIDAS Data Ingestion extension is an internal logistics tool designed to streamline the freight quoting and booking workflow. It eliminates manual data entry by seamlessly extracting shipment details from active load boards and securely pushing them directly to the MIDAS BigQuery backend. Key Features: One-Click Data Extraction: Automatically scrapes active shipment offers to capture Origin, Destination, Weight, and Revenue directly from the page DOM. Real-Time Margin Analysis: Instantly pings the MyCarrier API to retrieve live shipping rates, comparing them against the offer to calculate expected profit margins on the fly. Enterprise Data Sync: Pushes validated order data, live rates, and timestamped logs directly into the company's Google BigQuery data warehouse. Secure Access: Protected by Google Workspace SSO (OAuth 2.0). Only allowlisted internal employees can authenticate and push data to the corporate ledger.

Details

  • Version
    1.2.1
  • Updated
    July 13, 2026
  • Offered by
    Hendrik Kleine
  • Size
    63.89KiB
  • Languages
    English
  • Developer
    Hendrik Kleine
    20 Carriage Hill Circle Casselberry, FL 32707-4950 US
    Email
    hk@coresix.io
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

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MIDAS Data Ingestion has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

MIDAS Data Ingestion handles the following:

Personally identifiable information
Authentication information
Website content

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes
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