How does this skill differ from just looking at the payout shown in the Uber or Lyft app?

This skill calculates the true net profit of a trip by subtracting your specific vehicle operating costs (fuel, wear, and maintenance) from the gross payout, helping you avoid 'hidden' losses from high-mileage offers.

Which AI agents or platforms is this skill compatible with?

The skill is built as a Python-based CLI tool that can be integrated into most AI agent frameworks that support script execution or file uploads, such as AutoGPT or custom GPTs.

Can I use this to analyze a full week of past rides at once, or only one trip at a time?

Yes, the skill features a batch processing mode where you can upload a CSV of your historical trip data to receive a comprehensive financial audit of your earnings.

What specific files and assets are included in this purchase?

Upon purchase, you receive the `trip_value.py` execution script, a configuration guide for setting your custom mileage rates, and a template for bulk CSV analysis.

Do I need to do a lot of manual setup to get accurate profitability verdicts?

To get started, you simply need to define your vehicle's per-mile cost and your target hourly rate within the configuration file, then run the script via your preferred AI agent interface.

Does the calculator account for variables like heavy traffic or potential tips?

The tool uses a standard mathematical model for vehicle depreciation and IRS mileage rates, but it does not account for real-time traffic updates or unpredictable customer tips.

rideshare trip value calculator

Example session with this skill installed

I just got an offer for $12.50. It is 3 miles to the pickup and 7 miles for the trip. Total time is 20 minutes. My cost is $0.35/mile and I want $1.20/mile and $20/hr net. Should I take it?

Read your context and instructions
Compiled the rideshare trip value

I have calculated the value for this $12.50 offer based on your targets of $1.20/mile and $20.00/hour net profit.

Trip Value Analysis

Metric	Value
Total Distance	10.0 miles (3.0 pickup + 7.0 trip)
Gross Pay	$12.50
Dollars Per Mile	$1.25
Vehicle Expense	$3.50 (at $0.35/mile)
Net Profit	$9.00
Net Hourly Rate	$27.00/hr
Verdict	TAKE

The offer exceeds both of your targets. Your gross mileage rate of $1.25/mile is above your $1.20 minimum, and your net hourly rate of $27.00/hr is significantly higher than your $20.00 goal.

Next steps

Accept the offer in the app before it expires.
Log the actual time and miles after completion to refine your vehicle cost estimate.
Use the --csv flag later to see if this specific time of day consistently yields these rates.

Connects securely to your tools. The creator never sees your data.

About this skill

Rideshare and delivery drivers often struggle to calculate the real profitability of an offer while driving. This skill solves that by instantly calculating net earnings after vehicle expenses and comparing them against custom performance targets.

What it does

Profitability analysis calculates net dollars per hour and gross dollars per mile for any offer.
Vehicle cost tracking accounts for fuel, maintenance, and wear using a per-mile cost basis.
Offer benchmarking compares trip data against specific driver-set targets for minimum hourly and mileage rates.
Batch processing handles CSV uploads to analyze an entire shift or historical data in seconds.
Smart verdicts provides a clear Take, Maybe, or Pass recommendation based on objective math.

How it works

Input offer data including total payout, pickup miles, trip miles, and estimated minutes.
Configure driver metrics such as vehicle operating costs and desired net hourly earnings.
Execute the calculation via the trip_value.py script to generate a detailed financial breakdown.
Review the verdict to see if the offer meets, exceeds, or fails your specific profitability targets.

Frameworks & tools

This skill uses a Python-based CLI interface for processing trip data. It supports standard CSV formats for bulk analysis and command-line flags for individual offer evaluation.

Why this beats prompting it yourself

Generic LLM prompts often ignore "dead miles" or fail to subtract vehicle depreciation from the hourly rate. This skill enforces a consistent mathematical model that treats ridesharing as a business with real overhead.

Use cases

Evaluating a live Uber or Lyft offer during a shift to see if it is worth the time.
Analyzing DoorDash or Instacart batches to ensure the mileage does not eat the profit.
Auditing a week of historical ride data to identify which times or zones are most profitable.
Setting realistic financial goals by testing different per-mile cost scenarios.

Known limitations

Calculations are estimates based on driver-provided data. It cannot predict traffic changes, actual tips, or account for specific tax deductions.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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rideshare trip value calculator