DataMind

Solve questions about which fee IDs apply to a payment merchant, transaction characteristics, or time period in the dabstep dataset. Use this skill for any question asking "which fee IDs apply to X", "what are the applicable fee IDs for merchant Y", "which merchants are affected by fee Z", or any query involving filtering fees.json based on payment characteristics or merchant attributes.

Solve dabstep Average_Fee_Estimation problems. Use this skill for questions asking about average payment processing fees, which card scheme is cheapest/most expensive in an average scenario, and fee calculations based on card scheme, account type, MCC description, credit/debit type, or any combination of these filters.

Use this skill for CSV data analysis tasks that require reading a local CSV file, checking row counts and columns, grouping records, computing rates or aggregates, creating a chart, and writing a short Markdown report.

Solve Applicable_Fee_IDs questions in the dabstep dataset. Use this skill whenever a question asks which fee IDs apply to a merchant, a specific account_type/aci combination, a specific day/month/year, or when reverse-looking up which merchants are affected by a given fee ID.

Solve Average_Fee_Estimation questions in the dabstep dataset. Use this skill when asked about the average fee a card scheme charges for a given transaction value, or which card scheme is cheapest/most expensive in an average scenario. Handles filtering by credit type, account type, and merchant category code (MCC).

Skill for computing average transaction value statistics from payment transaction data in the dabstep dataset. Use this skill when a question asks about average transaction amount/value grouped by a categorical field (e.g., shopper_interaction, issuing_country, acquirer_country, aci), possibly filtered by merchant, card scheme, and/or date range.

Answers questions about the structure, metadata, field definitions, and business rules of the dabstep payment processing dataset. Use this skill when questions ask about: column names, field meanings, fee rule structure, which factors affect fees, fee formula, boolean factor effects on cost, volume/fraud/capture-delay tier meanings, or whether specific fee types exist. Also use for "Not Applicable" determination when a business concept is mentioned but no corresponding fee or data field exists.

Solve dabstep Fee_Delta_and_Impact_Simulation questions: computing fee deltas when a fee's rate changes, and identifying which merchants are affected by fee rule changes. Use when asked about fee impact, delta payments, rate changes, or which merchants would be affected by modifying a fee rule.

Solve fraud analysis and general macro transaction analysis questions on the dabstep payment dataset. Use this skill for questions about fraud rates, transaction distributions, merchant rankings, card scheme analysis, country breakdowns, correlation studies, and yes/no comparative questions on payment data.

Solve dabstep dataset questions that ask to identify the most expensive Merchant Category Code (MCC) or the most expensive Authorization Characteristics Indicator (ACI) for a given transaction. Use this skill when the question asks "what is the most expensive MCC for a transaction of X euros" or "what is the most expensive ACI for a credit transaction of X euros on [CardScheme]".

Solves payment routing and cost optimization problems in the dabstep dataset. Use when the question asks which card scheme a merchant should steer traffic to (for minimum or maximum fees), or which ACI (Authorization Characteristics Indicator) to incentivize for fraudulent transactions to achieve the lowest possible fees. Triggers on: "steer traffic", "card scheme", "minimum fees", "maximum fees", "ACI", "incentivize", "fraudulent transactions", "lowest possible fees", payment routing.

Skill for computing total payment processing fees for a merchant over a specific day, date range, or month in the dabstep dataset. Use this skill whenever the question asks for "total fees", "fees paid", or "fees charged" for a merchant over some time period. The computation requires matching each transaction to a fee rule from fees.json using multiple merchant and transaction properties, then summing fixed_amount + rate * eur_amount / 10000 for each matched transaction.

Solve Applicable_Fee_IDs questions in the dabstep dataset. Use this skill whenever a question asks which fee IDs apply to a merchant, a specific account_type/aci combination, a specific day/month/year, or when reverse-looking up which merchants are affected by a given fee ID.

Skill for computing average transaction value statistics from payment transaction data in the dabstep dataset. Use this skill when a question asks about average transaction amount/value grouped by a categorical field (e.g., shopper_interaction, issuing_country, acquirer_country, aci, device_type, ip_country, is_credit, card_scheme, card_bin), possibly filtered by merchant, card scheme, and/or date range.

Solve dabstep Fee_Delta_and_Impact_Simulation questions: computing fee deltas when a fee's rate changes, identifying which merchants are affected by fee rule changes, and computing fee deltas when a merchant's MCC changes. Use when asked about fee impact, delta payments, rate changes, MCC code changes, or which merchants would be affected by modifying a fee rule.

Solve dabstep dataset questions that ask to identify the most expensive Merchant Category Code (MCC) or the most expensive Authorization Characteristics Indicator (ACI) for a given transaction. Use this skill when the question asks "what is the most expensive MCC for a transaction of X euros" or "what is the most expensive ACI for a credit transaction of X euros on [CardScheme]".

Solves payment routing and cost optimization problems in the dabstep dataset. Use when the question asks which card scheme a merchant should steer traffic to (for minimum or maximum fees), or which ACI (Authorization Characteristics Indicator) to incentivize for fraudulent transactions to achieve the lowest possible fees. Triggers on: "steer traffic", "card scheme", "minimum fees", "maximum fees", "ACI", "incentivize", "fraudulent transactions", "lowest possible fees", payment routing.

Skill for computing total payment processing fees for a merchant over a specific day, date range, or month in the dabstep dataset. Use this skill whenever the question asks for "total fees", "fees paid", or "fees charged" for a merchant over some time period. The computation requires matching each transaction to a fee rule from fees.json using multiple merchant and transaction properties, then summing fixed_amount + rate * eur_amount / 10000 for each matched transaction.

Solve Applicable_Fee_IDs questions in the dabstep dataset. Use this skill whenever a question asks which fee IDs apply to a merchant, a specific account_type/aci combination, a specific day/month/year, or when reverse-looking up which merchants are affected by a given fee ID.

Solve dabstep Fee_Delta_and_Impact_Simulation questions: computing fee deltas when a fee's rate changes, identifying which merchants are affected by fee rule changes, and computing fee deltas when a merchant's MCC changes. Use when asked about fee impact, delta payments, rate changes, MCC code changes, or which merchants would be affected by modifying a fee rule.

Solve dabstep dataset questions that ask to identify the most expensive Merchant Category Code (MCC) or the most expensive Authorization Characteristics Indicator (ACI) for a given transaction. Use this skill when the question asks "what is the most expensive MCC for a transaction of X euros" or "what is the most expensive ACI for a credit/debit transaction of X euros on [CardScheme]".

Solves payment routing and cost optimization problems in the dabstep dataset. Use when the question asks which card scheme a merchant should steer traffic to (for minimum or maximum fees), or which ACI (Authorization Characteristics Indicator) to incentivize for fraudulent transactions to achieve the lowest possible fees. Triggers on: "steer traffic", "card scheme", "minimum fees", "maximum fees", "ACI", "incentivize", "fraudulent transactions", "lowest possible fees", payment routing.

Skill for computing total payment processing fees for a merchant over a specific day, date range, or month in the dabstep dataset. Use this skill whenever the question asks for "total fees", "fees paid", or "fees charged" for a merchant over some time period. The computation requires matching each transaction to a fee rule from fees.json using multiple merchant and transaction properties, then summing fixed_amount + rate * eur_amount / 10000 for each matched transaction.

Solve questions about which fee IDs apply to a payment merchant, transaction characteristics, or time period in the dabstep dataset. Use this skill for any question asking "which fee IDs apply to X", "what are the applicable fee IDs for merchant Y", "which merchants are affected by fee Z", or any query involving filtering fees.json based on payment characteristics or merchant attributes.

Solve dabstep Average_Fee_Estimation problems. Use this skill for questions asking about average payment processing fees, which card scheme is cheapest/most expensive in an average scenario, and fee calculations based on card scheme, account type, MCC, or transaction type filters.

Solve average transaction value statistics questions on the dabstep payments dataset. Use this skill for questions that ask for average transaction value/amount grouped by a dimension (e.g., shopper_interaction, issuing_country, acquirer_country, aci), optionally filtered by merchant, card scheme, and/or date range. Triggers on questions like "What is the average transaction value grouped by X for merchant Y's card_scheme Z transactions between months A and B?"

Solve Dataset_Metadata_and_Business_Rules questions in the dabstep payment processing dataset. Use this skill for questions about dataset column meanings, fee factor directionality, business rules encoded in fee structures, "Not Applicable" detection, and metadata interpretation for the dabstep payment processing domain. Trigger whenever questions reference payment fees, fraud indicators, boolean fee factors, volume tiers, ACI codes, or any field from the dabstep dataset.

Solves fee delta and impact simulation problems in the dabstep payment processing dataset. Use this skill for questions about: (1) how much a merchant's fees change if a specific fee rule's rate is modified, (2) which merchants are affected if a fee's account type restriction changes, and (3) how a merchant's total fees change if its MCC code changes. Trigger whenever the question involves "delta", "fee with ID", "relative fee changed to", "account type", "affected by this change", or "MCC code changed".

Solve Fraud_and_General_Macro_Analysis questions in the dabstep payment processing dataset. Use this skill for macro-level transaction analysis questions: fraud rates, fraud comparisons by segment, percentage calculations, correlation analysis, most-frequent category lookups, and population-level statistics across merchants, countries, card schemes, and payment methods. Trigger whenever questions ask about fraud rates, fraudulent disputes, transaction counts by category, most/highest/lowest statistics, percentage of transactions, or correlation between payment attributes.

Identifies the highest-cost scenario in payment processing fee analysis for the dabstep dataset. Use this skill when asked to find the most expensive MCC (Merchant Category Code) for a given transaction amount, or the most expensive ACI (Authorization Characteristics Indicator) for a given card scheme and transaction amount. Triggers on questions like "what is the most expensive MCC", "which ACI leads to highest fees", "find the costliest transaction scenario", or any query asking to identify maximum-fee scenarios in payment processing.

Solve payment routing and cost optimization problems in the dabstep dataset. Use this skill for questions about which card scheme to steer merchant traffic to (for minimum or maximum fees), or which Authorization Characteristics Indicator (ACI) to incentivize for fraudulent transactions to minimize fees. Always invoke this skill when the question asks about steering traffic, optimal card scheme selection, or ACI optimization with fee comparison.

Use this skill to calculate total payment processing fees for a merchant over a specified time period (e.g., a specific day, month, or year) in the dabstep dataset. Apply when asked: "What are the total fees that [merchant] paid in [period]?", "What is the total fees for [merchant] on [day]?", or any question requiring summing per-transaction fees using the fees.json rule engine.

Solve questions about which fee IDs apply to a payment merchant, transaction characteristics, or time period in the dabstep dataset. Use this skill for any question asking "which fee IDs apply to X", "what are the applicable fee IDs for merchant Y", "which merchants are affected by fee Z", or any query involving filtering fees.json based on payment characteristics or merchant attributes.

Solve dabstep Average_Fee_Estimation problems. Use this skill for questions asking about average payment processing fees, which card scheme is cheapest/most expensive in an average scenario, and fee calculations based on card scheme, account type, MCC description, credit/debit type, or any combination of these filters.

Solves fee delta and impact simulation problems in the dabstep payment processing dataset. Use this skill for questions about: (1) how much a merchant's fees change if a specific fee rule's rate is modified, (2) which merchants are affected if a fee's account type restriction changes, and (3) how a merchant's total fees change if its MCC code changes. Trigger whenever the question involves "delta", "fee with ID", "relative fee changed to", "account type", "affected by this change", or "MCC code changed".

Solve Fraud_and_General_Macro_Analysis questions in the dabstep payment processing dataset. Use this skill for macro-level transaction analysis questions: fraud rates, fraud comparisons by segment, percentage calculations, correlation analysis, most-frequent category lookups, and population-level statistics across merchants, countries, card schemes, and payment methods. Trigger whenever questions ask about fraud rates, fraudulent disputes, transaction counts by category, most/highest/lowest statistics, percentage of transactions, or correlation between payment attributes.

Solve payment routing and cost optimization problems in the dabstep dataset. Use this skill for questions about which card scheme to steer merchant traffic to (for minimum or maximum fees), or which Authorization Characteristics Indicator (ACI) to incentivize for fraudulent transactions to minimize fees. Always invoke this skill when the question asks about steering traffic, optimal card scheme selection, or ACI optimization with fee comparison.

Use this skill to calculate total payment processing fees for a merchant over a specified time period (e.g., a specific day, month, or year) in the dabstep dataset. Apply when asked: "What are the total fees that [merchant] paid in [period]?", "What is the total fees for [merchant] on [day]?", or any question requiring summing per-transaction fees using the fees.json rule engine.

Solves fee delta and impact simulation problems in the dabstep payment processing dataset. Use this skill for questions about: (1) how much a merchant's fees change if a specific fee rule's rate is modified, (2) which merchants are affected if a fee's account type restriction changes, and (3) how a merchant's total fees change if its MCC code changes. Trigger whenever the question involves "delta", "fee with ID", "relative fee changed to", "account type", "affected by this change", or "MCC code changed".

Identifies the highest-cost scenario in payment processing fee analysis for the dabstep dataset. Use this skill when asked to find the most expensive MCC (Merchant Category Code) for a given transaction amount, or the most expensive ACI (Authorization Characteristics Indicator) for a given card scheme and transaction amount. Triggers on questions like "what is the most expensive MCC", "which ACI leads to highest fees", "find the costliest transaction scenario", or any query asking to identify maximum-fee scenarios in payment processing.