MIDAS Data Ingestion

Overview

Extracts freight shipment details from active web dashboards and syncs data to our internal database for margin analysis.

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.

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Details

Version
1.3.0
Updated
September 3, 2026
Flag concern
Offered by
Hendrik Kleine
Size
64.65KiB
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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