Agent Cost Estimator

A production AI agent does not just consume raw API tokens. It triggers deterministic schema rejections, retry calls, and human review exceptions. This estimator computes your true operational bill without surprise overages.

1. LLM Model & Dated Pricing

As of: March 2026

Recommended for: High-throughput document intake, schema staging, OCR extraction

2. Execution Volume & Token Budget

Monthly document / transaction volume:5,000 items

Avg input tokens per item (prompt + source document):1800 tokens

~1,800 tokens ≈ 1 full-page supplier invoice with line-item detail and system instructions.

Avg output tokens per item (JSON extraction):450 tokens

3. Guardrails & Human In The Loop

Deterministic validation retry rate (%):8%

Rate of schema mismatches where deterministic code requests an immediate reprompt.

Human exception review rate (%):5%

Items with balance discrepancies routed to human staff (250 items / mo).

Labor cost per human exception review ($):$3.50

Formula & Source Documentation

• Runs_Effective = Volume × (1 + Retry_Rate)

• API_Bill = (Runs × Input_Tok × Rate_In) + (Runs × Output_Tok × Rate_Out)

• Human_Cost = Volume × Review_Rate × Unit_Review_Cost

• Monthly_Total = API_Bill + Human_Cost

Pricing source: Public developer rates published by Google Cloud and Anthropic, dated March 2026.

Monthly Projection

Total Operational Cost

Expected Monthly Range:

$772 – $982

Unit Cost: ~$0.175 / successful transaction

Direct LLM Token API Bill:$1.94 / mo

Schema Validation Retries:+400 API calls (8%)

Human Exception Reviews:$875.00 / mo

Input / Output Tokens Total:9.72M / 2.43M

Notice the cost split:In production, token API bills are frequently tiny compared to human review time. This is why strict deterministic validation schemas that catch 90% of formatting slips automatically before human triage save the most money.

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