MCP For Claude Marketplace
Document AI Economics Modeler

Document AI Economics Modeler MCP Connector for Claude

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Calculate unit economics and total cost of ownership for AI document processing workflows.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized economic modeling for AI-driven document processing. It allows AI agents to calculate the total cost of ownership by accounting for OCR base costs, document complexity multipliers, and human-in-the-loop validation expenses. Use get_total_workflow_estimate to get a complete end-to-end cost projection including volume discounts. It is designed to help businesses understand the trade-offs between extraction depth and accuracy requirements.

economicsdocument-aiocrcost-modelingautomation

4 tools expose this connector's capabilities to your AI agent.

calculate_accuracy_validation_cost

Determines the additional cost incurred by human verification efforts to meet accuracy targets

get_total_workflow_estimate

Provides a holistic view of the entire economic model, combining OCR, complexity, validation, and discounts

get_unit_economics

Calculates the core cost metrics for a specific document processing batch

get_volume_discount_tier

Identifies the applicable discount multiplier based on the processing volume

See how to talk to your AI agent using Document AI Economics Modeler.

What is the total cost for processing 500 documents with 2000 total pages at $0.05 per page, assuming a complexity of 1.2 and advanced extraction?

The total cost for this batch is $120.00, with a unit cost of $0.24 per document.

Calculate the validation cost for 1000 documents if a human takes 30 seconds per document at a rate of $25 per hour.

The total validation cost for 1000 documents is $208.33.

Give me a full estimate for 10,000 documents, 50,000 pages, $0.02 base OCR, 1.0 complexity, standard extraction, 95% target accuracy, $30/hr labor, and 45 seconds per validation.

The estimated total workflow cost is $1,312.50, which includes a discounted total after applying volume tiers.

Complexity acts as a multiplier on the base OCR cost. For example, using `get_unit_economics` with a higher complexity multiplier for scanned documents will result in a higher cost per document compared to digital PDFs.

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