View LSEG's ICE Data Pricing and Reference Data, and find real-time market data, time-sensitive pricing, and reference data for securities trading.

The Alberta Natural Gas Reference Price is a monthly weighted average field price of all Alberta gas sales, as determined by the Alberta Department of Energy through a survey of actual sales transactions. This price is used for royalty purposes.

We offer three easy-to-understand equity data packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

Bronze

The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD equity pricing data, standardized financial statement data, and supplementary fundamental datasets.

When you’re ready for launch, it’s a seamless transition to our Silver package for additional data sets, 15-minute delayed equity pricing data, expanded history, and more.

• Historical EOD equity prices & technicals (10 years history)
• Security reference data
• Standardized & as-reported financial statements (5 years history)
• 7 supplementary fundamental data sets

Bronze Benefits:

• Web API access
• 300 API calls/minute limit
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Silver

The Silver package is ideal for startups that are in development, testing, or in the beta launch phase. Hit the ground running with 15-minute delayed and historical intraday and EOD equity prices, plus our standardized and as-reported financial statement data with nine supplementary data sets, including insider transactions and institutional ownership.

When you’re ready to scale, easily move up to the Gold package for our full range of data sets and full history, real-time equity pricing data, premium support options, and much more.

• 15-minute delayed & historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (10 years history)
• 9 supplementary fundamental data sets

Silver Benefits:

• Web API access
• 2,000 API calls/minute limit
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support

Gold

The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers our complete collection of equity pricing data feeds, from real-time to historical EOD, plus standardized financial statement data and nine supplementary feeds.

You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

• Real-time equity prices
• Historical intraday equity prices
• Historical EOD equity prices & technicals (full history)
• Security reference data
• Standardized & as-reported financial statements (full history)
• 9 supplementary fundamental data sets

Gold Benefits:

• No exchange fees
• No user reporting or variable per-user exchange fees
• High liquidity (6%+)
• Web API & WebSocket access
• 2,000 API calls/minute limit
• Customizable access methods (Snowflake, FTP, etc.)
• Access to third-party datasets via Intrinio API (additional fees required)
• Unlimited internal users
• Unlimited internal & external display
• Built-in ticketing system
• Live chat & email support
• Access to engineering team
• Concierge customer success team
• Comarketing & promotional initiatives

Platinum

Don’t see a package that fits your needs? Our team can design premium custom packages for institutions.

Group Stop-Loss—Reference-Based Pricing Market Outlook

According to our latest research, the global Group Stop-Loss—Reference-Based Pricing market size reached USD 5.95 billion in 2024, reflecting a robust demand for innovative risk management solutions in employee health benefits. The market is projected to grow at a CAGR of 8.2% from 2025 to 2033, reaching approximately USD 11.37 billion by 2033. This significant growth is primarily driven by the rising adoption of cost-containment strategies among self-funded employers, increasing healthcare expenditures, and the growing shift towards transparent pricing models that challenge traditional insurance reimbursement frameworks.

One of the primary growth drivers for the Group Stop-Loss—Reference-Based Pricing market is the escalating healthcare costs globally, which have compelled employers and insurance providers to seek more predictable and manageable ways to handle catastrophic claims. The traditional fee-for-service and network-based arrangements often result in opaque pricing and unexpected high-cost claims, placing a financial strain on self-funded employers and their third-party administrators (TPAs). Reference-based pricing (RBP) models, when paired with group stop-loss insurance, offer a transparent alternative by pegging reimbursements to a percentage of Medicare rates or other publicly available benchmarks, leading to substantial savings. This transparency not only helps organizations control their health plan expenditures but also encourages providers to justify their pricing, fostering a more competitive healthcare marketplace.

Additionally, regulatory trends and the evolving landscape of employer-sponsored healthcare are fueling the adoption of group stop-loss and reference-based pricing solutions. In the United States, for instance, regulatory frameworks such as the No Surprises Act and increasing scrutiny over balance billing practices have heightened awareness about the need for greater cost control and transparency. Large enterprises, as well as small and medium-sized businesses, are increasingly leveraging these solutions to protect themselves against unpredictable high-cost claims while maintaining compliance with evolving legal requirements. The flexibility of RBP models, which can be tailored to various organizational needs and risk appetites, is further amplifying their appeal across different industry verticals.

Moreover, technological advancements and the proliferation of digital health platforms are accelerating the implementation of group stop-loss and reference-based pricing strategies. Modern claims analytics, artificial intelligence, and digital administration tools are enabling insurers, TPAs, and employers to streamline claims adjudication, enhance member engagement, and identify cost-saving opportunities more effectively. The integration of these technologies not only reduces administrative overheads but also improves the accuracy of reimbursement calculations and strengthens the overall value proposition of RBP solutions. As a result, the market is witnessing increased interest from both traditional insurance carriers and emerging insurtech players, further intensifying competition and innovation within the sector.

From a regional perspective, North America continues to dominate the Group Stop-Loss—Reference-Based Pricing market, accounting for the lion’s share of global revenues. This dominance can be attributed to the high penetration of self-funded employer health plans, a mature insurance ecosystem, and favorable regulatory initiatives supporting cost transparency. However, other regions such as Europe and Asia Pacific are gradually catching up, driven by rising healthcare costs, growing awareness of alternative pricing models, and increasing adoption of digital health infrastructure. As multinational corporations expand their operations and seek to harmonize employee benefits across geographies, the demand for scalable and compliant group stop-loss and reference-based pricing solutions is expected to rise globally.

Product Type Analysis

The Group Stop-Loss—Reference-Based Pricing market is segmented by product type into Specific Stop-Loss and Aggregate Stop-Loss insurance. Specific stop-loss, which protects employers from individual high-cost claims that exceed a predetermined threshold, remains the most widely adopted product type. Its popularity is largely due to its ability to offer targ

Brazil BR: Average Reference Price: Petroleum data was reported at 376.789 BRL/Barrel in 2023. This records a decrease from the previous number of 464.804 BRL/Barrel for 2022. Brazil BR: Average Reference Price: Petroleum data is updated yearly, averaging 145.207 BRL/Barrel from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 464.804 BRL/Barrel in 2022 and a record low of 40.000 BRL/Barrel in 2000. Brazil BR: Average Reference Price: Petroleum data remains active status in CEIC and is reported by National Petroleum, Natural Gas and Biofuels Agency. The data is categorized under Global Database’s Brazil – Table BR.PE002: Average Reference Price: Petroleum.

The Indonesian Coal Price Reference (Harga Batubara Acuan or HBA) is a monthly reference price that provides guidance for coal suppliers and buyers in the Indonesian market. It is used as a benchmark for coal pricing in both domestic and international markets. This article discusses the factors influencing the HBA price and its significance in the coal industry.

Yearly citation counts for the publication titled "Common Knowledge Reference Price and Asymmetric Price Adjustments".

With an increasing number of products sold in online auctions, the effect of reference points on consumers’ product valuations has received much attention in the literature. Two potentially relevant factors affecting bidders’ preferences are the sellers’ reserve price and the competing bids by other bidders. The current evidence regarding these reference points is mixed. We argue that a focus on studying bids prevents a clear identification of reference point effects. Directly observing product valuations, in two experiments we find that willingness-to-pay in online auctions is affected by both reserve prices and competing bids, supporting the constructed values paradigm.

Colombia Gasoline Retail Price: Reference: Valledupar data was reported at 14,525.488 COP/gal in Oct 2024. This records an increase from the previous number of 14,524.685 COP/gal for Sep 2024. Colombia Gasoline Retail Price: Reference: Valledupar data is updated monthly, averaging 7,219.340 COP/gal from Jan 2003 (Median) to Oct 2024, with 239 observations. The data reached an all-time high of 14,525.488 COP/gal in Oct 2024 and a record low of 2,757.410 COP/gal in Mar 2003. Colombia Gasoline Retail Price: Reference: Valledupar data remains active status in CEIC and is reported by Colombian Oil and Gas Information System. The data is categorized under Global Database’s Colombia – Table CO.RB011: Gasoline Retail Price. Gasoline Retail Price from January 2003 to September 2012 are based on reference price except for August to December 2011. Gasoline Retail Price from August to December 2011 and October 2012 onwards are based on Maximum Fixed Price.

United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Sales of General Reference Books was 199.47600 Index 1982=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Sales of General Reference Books reached a record high of 203.02800 in April of 2025 and a record low of 81.80000 in December of 1980. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Sales of General Reference Books - last updated from the United States Federal Reserve on October of 2025.

Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus (see "About EnergyPlus" resource link) simulation software. Included here is data pertaining to the reference building type "Supermarket" for each of the 16 climate zones described on the Wiki page (see "OpenEI Wiki Page for Commercial Reference Buildings" resource link), and each of three construction categories: new (2004) construction, post-1980 construction existing buildings, and pre-1980 construction existing buildings.

The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.

In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.

Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) website (see "About Commercial Buildings" resource link), including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

Note: There have been many changes and improvements since this dataset was released. Several revisions have been made to the models and moved to a different approach to representing typical building energy consumption. For current data on building energy consumption please see the ComStock resource below.

This study calls into question the default computation of the disposition effect that uses the average purchase price as a reference point. We show, through a lab experiment, that the reference price of participants can change depending on the experimental behavioral design that is used. Our results show that for the control group, different reference prices do not show significant differences in the computation of the disposition effect, thus supporting the use of the average purchase price as a reference. However, this is not the case for participants in the treatment group. With the addition of experimental treatment concerning the disclosure of the final balance of the participants, the reference prices to compute the disposition effect showed statistically significant differences. The need to display their results caused these participants to use the first purchase price as a reference point when selling their assets.

Colombia Gasoline Retail Price: Reference: Medellin data was reported at 15,918.927 COP/gal in Oct 2024. This records an increase from the previous number of 15,918.123 COP/gal for Sep 2024. Colombia Gasoline Retail Price: Reference: Medellin data is updated monthly, averaging 8,315.700 COP/gal from Jan 2003 (Median) to Oct 2024, with 253 observations. The data reached an all-time high of 15,918.927 COP/gal in Oct 2024 and a record low of 3,586.400 COP/gal in Jan 2003. Colombia Gasoline Retail Price: Reference: Medellin data remains active status in CEIC and is reported by Colombian Oil and Gas Information System. The data is categorized under Global Database’s Colombia – Table CO.RB011: Gasoline Retail Price. Gasoline Retail Price from January 2003 to September 2012 are based on reference price except for August to December 2011. Gasoline Retail Price from August to December 2011 and October 2012 onwards are based on Maximum Fixed Price.

The Alberta Natural Gas Reference Price is a monthly weighted average field price of all Alberta gas sales, as determined by the Alberta Department of Energy through a survey of actual sales transactions. This price is used for royalty purposes.

The reference cost for elementary school is reported in SEK per pupil as an average of 15/10 years T and T-1 and is based on the net cost of primary and pre-school class in Sweden, the proportion of 6-15-year-olds in the municipality, children with foreign backgrounds and assumptions about additional costs for small schools and school transport. In addition, part of the standard costs are added from the sub-models wages, building structure and population development. As a rule, the data base refers to the year in question.

Purpose and brief description The index of agricultural prices is primarily intended to analyse the evolution of prices and their impact on agricultural income. The indices of prices are intended to provide information on the evolution of the marketing prices of agricultural products and the average purchase prices of agricultural inputs. These indexes make it possible to compare the evolutions in the different Member States with them in the European Union, on the one hand, and of the different products within a given Member State or within the European Union on the other. They should also help to compare the evolution of sales prices with those of the average purchase prices of agricultural products. Population of Belgian farms active during the reference period Frequency Monthly. Timing publication Results available 45 days after the reference period Definitions Index of sales prices in agriculture: This is the market price index for agricultural products based on the sale of agricultural products outside the agricultural sector. Index of the prices of inputs: This is the price index based on the purchase of agricultural inputs excluding the purchase of agricultural products as inputs. Average price of agricultural and horticultural products; This is the average price the farmer receives when selling agricultural products. Metadata Index of agricultural prices and average prices.pdf Periodical inclusions of agricultural prices.pdf

Brazil Average Reference Price: Natural Gas: USD: Rio Grande do Norte data was reported at 154.039 USD/1000 Cub m in 2018. This records an increase from the previous number of 143.028 USD/1000 Cub m for 2017. Brazil Average Reference Price: Natural Gas: USD: Rio Grande do Norte data is updated yearly, averaging 174.982 USD/1000 Cub m from Dec 2002 (Median) to 2018, with 17 observations. The data reached an all-time high of 314.220 USD/1000 Cub m in 2010 and a record low of 72.777 USD/1000 Cub m in 2002. Brazil Average Reference Price: Natural Gas: USD: Rio Grande do Norte data remains active status in CEIC and is reported by National Petroleum Agency. The data is categorized under Brazil Premium Database’s Energy Sector – Table BR.RBG007: Average Reference Price: Natural Gas.

The reference cost for preschool incl. open preschool is reported in SEK per inhabitant on 31/12, and is based on the net cost of preschool in Sweden, proportion of 1-5 year olds in the municipality, needs through estimated differences in stay time, needs through calculated differences in socio-economics, production conditions through estimated differences in building structure, additional costs for population changes over five years of 1-5 year olds, part of the additional costs of wages according to the wage equalisation model for childcare and part of the standard costs for administration, heating and population reduction from the cross-activity cost-equalisation model. The difference between the reference cost and the standard costs contained in the cost equalisation is, on the one hand, that the reference cost measures the structure of the year in question, while the standard cost is based on the structure two years earlier. On the one hand, part of the standard cost of business-wide costs is included in the reference cost.

The reference cost for municipal adult education is reported in SEK per inhabitant on 31/12, and is based on the net cost of basic and secondary municipal adult education and training in Swedish for immigrants. Calculated on the basis of the number of 20-56-year-olds in the municipality without basic education, the number of 20-56-year-olds in the municipality without upper secondary education, the number of 20-64-year-olds in the municipality with a residence permit between 2 and 5 years and the proportion of 20-64-year-olds in the municipality who are employed. In addition, some of the standard costs of administration, heating and population reduction are added from the cross-business cost equalisation model. As a rule, the data base refers to the year in question.

Chile Average Reference Price: Gasoline: High data was reported at 1,275.673 USD/Cub m in Mar 2025. This records a decrease from the previous number of 1,283.863 USD/Cub m for Feb 2025. Chile Average Reference Price: Gasoline: High data is updated monthly, averaging 556.904 USD/Cub m from Feb 1991 (Median) to Mar 2025, with 410 observations. The data reached an all-time high of 1,496.177 USD/Cub m in May 2024 and a record low of 158.000 USD/Cub m in Nov 1991. Chile Average Reference Price: Gasoline: High data remains active status in CEIC and is reported by National Commission of Energy. The data is categorized under Global Database’s Chile – Table CL.P003: Energy Products: Average Reference and Parity Price.