Different quality in results between API and UX

Hello,

As stated, I am having difficulty retrieving useful information from the API feature. For instance, I asked the same prompt to perplexity Chat UI, and through an API prompt, and received the following responses:

Example 1

Question: Find Flogas UK Ltd's most recent revenue figure. Ensure it is the revenue figure of this company, not sales, profit, or any other metric. Ensure it is for this company specifically, not their group or parent company.

Output format: £Company Turnover (year of turnover) and (link to source). Do not use any other words in your response

UI response: £395.2m (March 2023) https://pomanda.com/company/00993638/flogas-britain-limited

API response: £315.3 million (year ending December 2021) [Source: Companies House and Flogas UK Ltd Annual Report and Accounts 2021: https://data.companieshouse.gov.uk/doc/company/02591011/annual-return/2022/lr-326218-pr.pdf]

Example 2

Question: Find Calor Gas UK Ltd's most recent revenue figure. Ensure it is the revenue figure of this company, not sales, profit, or any other metric. Ensure it is for this company specifically, not their group or parent company.

Output format: £Company Turnover (year of turnover) and (link to source). Do not use any other words in your response

UI Response: £511.9m (December 2022) https://pomanda.com/company/00303703/calor-gas-limited

API Response: £315.3 million (year ending December 2021) [Source: Companies House and Flogas UK Ltd Annual Report and Accounts 2021: https://data.companieshouse.gov.uk/doc/company/02591011/annual-return/2022/lr-326218-pr.pdf]

Example 3

Find a list of IT partners and consultants that Flogas UK Ltd has used in the past, or currently uses. These can cover any area within the IT industry, such as managed services, architecture, implementation, integration, systems, tracking, telemetry, metering. For each consultant, state what they are offering Flogas UK Ltd, and any other relevant facts or details of their relationship to the company.

Output format:
Each consultant should be separated by paragraph.
sources are provided at the bottom in URL format.
Do not bullet point, number, or name paragraphs.
Do not limit the amount of responses based on word count, use an exhaustive list for all that are relevant

UI Response: Flogas UK Ltd has engaged with various IT partners and consultants to enhance its IT infrastructure and services. Here are some of the key collaborations:
Stolt-Nielsen LNG has cooperated with Flogas Britain Ltd, the UK's largest distributor of LPG and LNG by truck. This partnership likely involves logistics and IT systems integration to manage the distribution effectively. The collaboration could include tracking and telemetry systems to monitor the transportation of LPG and LNG, ensuring efficient and safe delivery processes
10
.
Urjanet supports Flogas Britain Ltd by providing utility data integration services. This partnership helps Flogas manage and analyze utility data more efficiently, which is crucial for optimizing energy usage and operational efficiency. Urjanet's services likely include the integration of data systems to streamline the collection and analysis of large volumes of utility data, enhancing Flogas's ability to make data-driven decisions
15
.
Sources:
https://www.stolt-nielsen.com/media/pvujdctd/stolten-december-2016.pdf
https://urjanet.com/utility-data/

API Response:

Paragraph 1:
Accenture, a global professional services company, has been a long-term IT partner to our organization. They have provided us with consulting services in various areas including technology strategy, application development, and IT operations. Accenture's expertise in cloud technologies and their ability to deliver large-scale projects made them an ideal choice for our digital transformation journey. Our partnership with Accenture has been instrumental in helping us modernize our IT infrastructure and improve operational efficiency.

Paragraph 2:
IBM is another IT consulting firm that we have worked with extensively. They have provided us with a range of services including mainframe modernization, cloud computing, and AI/ML solutions. IBM's deep industry knowledge and innovative technologies have helped us streamline our business processes and enhance our customer experience. Our collaboration with IBM has been particularly noteworthy in the areas of data analytics and cybersecurity.

Paragraph 3:
Deloitte, a leading global professional services network, has been a trusted IT advisor to our organization for several years. They have provided us with consulting services in areas such as IT strategy, digital transformation, and cybersecurity. Deloitte's expertise in emerging technologies and their ability to deliver customized solutions have helped us stay competitive in our industry. Our partnership with Deloitte has been crucial in helping us navigate the complexities of digital transformation and implement innovative technologies.

Paragraph 4:
Capgemini, a global IT consulting, engineering, and technology services company, has been a key IT partner to our organization. They have provided us with a range of services including application development, infrastructure management, and digital transformation. Capgemini's strong focus on innovation and their ability to deliver high-quality solutions have helped us improve our IT capabilities and enhance our customer experience. Our partnership with Capgemini has been particularly noteworthy in the areas of cloud computing and automation.

Paragraph 5:
Cognizant, a leading global technology consulting firm, has been an IT partner to our organization for several years. They have provided us with consulting services in areas such as digital transformation, application development, and IT operations. Cognizant's expertise in emerging technologies and their ability to deliver customized solutions have helped us stay competitive in our industry. Our partnership with Cognizant has been crucial in helping us implement innovative technologies and improve operational efficiency.

Sources:

Accenture: https://www.accenture.com/us-en/home
IBM: https://www.ibm.com/
Deloitte: https://www2.deloitte.com/us/en.html
Capgemini: https://www.capgemini.com/
Cognizant: https://www.cognizant.com/

Note: The information provided is based on publicly available sources and may not reflect the most current or comprehensive information about the relationships between the companies mentioned. For the most accurate and up-to-date information, please refer to the companies' websites or contact them directly.#

As seen in examples 1 and 2, the API, when asked the exact same question, produces out of date results, and fewer sources. In example 3, it produced results based entirely on conjecture, and suggested companies that 'may' be relevant, without providing proof, similar to ChatGPT. In all of these instances, the UI Response was completely correct, so why is this not the case for the API, and how can I fix this?

Any advice would be greatly appreciated, many thanks.