Products
© Fiskil 2026. All rights reserved.
Energy Comparison
Energy Switching Recommendations
Generic energy comparisons don't reflect real usage patterns. Fiskil provides personalized switching recommendations using actual consumption data from connected energy accounts.
Customers get misleading savings estimates based on average usage, not their actual consumption.
Comparison sites use average usage estimates
Actual savings differ from advertised savings
Time-of-use patterns ignored in recommendations
Customers don't trust generic comparisons
Miss best plan matches for individual usage
Analyze real energy usage to recommend plans with accurate, personalized savings calculations.
Match customer usage patterns to optimal plans from 40+ retailers.
Calculate exact savings based on actual historical usage, not estimates.
Recommend time-of-use plans when usage patterns fit beneficial rates.
Recommend best feed-in tariffs for solar customers based on export patterns.
Add personalized energy recommendations to your comparison platform.
Customer connects current energy account to access usage data.
API analyzes 12 months of usage including peak times and seasonal patterns.
System models costs across all available plans using actual usage data.
Present top 3-5 plans ranked by total annual savings.
Account for seasonal variations in usage for accurate annual savings.
Identify if time-of-use plans would save money based on usage timing.
Factor in solar generation and export for solar customers.
Compare savings across different contract lengths and benefit periods.
Factor in current contract exit fees to show true switching value.
Identify renewable energy plans matching customer preferences.
A comparison site uses actual usage for personalized recommendations.
Result: Customer trust increased 65%, switching conversion rate up 45% with accurate savings.
A broker analyzes client usage to recommend optimal business energy plans.
Result: Average client savings of $2,400/year vs $800 with generic comparisons.
An automated switching service monitors usage and switches customers proactively.
Result: Customers save average of $420/year with hands-free optimisation.
GET /energy-accounts/{accountId}/usagePOST /energy/compare-plansGET /energy/recommendationsPOST /energy/calculate-savingsUsage history
Peak/off-peak breakdown
Solar generation data
Plan recommendations
Accurate savings amounts
Cost comparisons
OAuth 2.0 / CDR consent
Yes
Using actual usage data provides 95%+ accuracy compared to 60-70% accuracy of estimate-based comparisons.
All major retailers (AGL, Origin, Energy Australia) plus 35+ smaller retailers in comparison.
Quarterly refreshes catch new market offers and changing usage patterns.
Yes, analysis identifies when time-of-use plans would save money based on usage timing.
Solar generation and feed-in are factored into recommendations for optimal tariff selection.
Yes, current contract exit fees are factored to show true switching value.
Retailer offer database updated daily with latest market rates and promotions.
Energy Comparison
Analyze energy bills and usage patterns to provide accurate switching recommendations. Fiskil's Energy API enables instant bill analysis from 40+ Australian energy retailers.
Energy Comparison
Determine the optimal tariff structure for each customer. Identify whether flat rate, time-of-use, or demand tariffs provide the best value.
Solar Providers
Calculate precise solar savings using actual household energy consumption. Show realistic payback periods and ROI based on real usage patterns.
Join hundreds of companies using Fiskil to power their energy comparison applications. Get started today with our developer-friendly API.
Products
© Fiskil 2026. All rights reserved.