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Real-time knowledge for LLMs
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Real-time knowledge for LLMs

Real-time knowledge for LLMs

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Unlock the Full Potential of Your LLM with Real-Time Web Knowledge! Say goodbye to outdated responses, misinformation, and hallucinations. Now you can ground your Language Model with the freshest information from the web. NO API NEEDED!

Real-Time Data Access API for LLMs

Unlock the Full Potential of Your LLM with Real-Time Data Access! for your RAG / In-Context retrieval tasks.

How does the Realtime knowledge for LLMs work?

The API provides a powerful mechanism to fetch real-time data from the web. Users can submit a keyword or question, and the API returns relevant links. These links can then be used by various LLMs/Agents or RAG systems to retrieve fresh and updated data.

Handling Real-Time Data:

Realtime knowledge for LLMs ensures that you get the most current information available. When a keyword or question is submitted, the API searches the web and provides links to the most relevant and recent sources. This is particularly useful for tasks that require up-to-date information, such as news aggregation, market research, or monitoring current events.


Realtime knowledge for LLMs is free to use. For more customized solutions, please reach out!

How to use Realtime knowledge for LLMs:

To start using the Real-Time Data Access API, follow these simple steps:

  1. Submit a keyword or question to the API endpoint.
  2. The API processes the query and searches the web for the most relevant and recent links.
  3. The API returns a list of links that you can use to retrieve the data.

Example Usage:

Request Body:

2"search": "Tesla"


2  {
3    "data": "[1] Title: Electric Cars, Solar & Clean Energy | Tesla\n[1] URL Source:\n[1] Markdown Content:\n¹ Excludes taxes and fees with price subject to change. Available in select states and requires credit approval. [Est. gas savings]( is $100/month.  \n[See Details](\n\n² Price before estimated savings is $38,990, excluding taxes and fees. Subject to change.  \n[Learn about est. gas savings](\n\n³ Price before estimated savings is $77,990, excluding taxes and fees. Subject to change.  \n[Learn about est. gas savings](\n\n⁴ Price before estimated savings is $72,990, excluding taxes and fees. Subject to change.  \n[Learn about est. gas savings](\n\n\n[2] Title: Tesla (@Tesla) · X\n[2] URL Source:\n[2] Description: The latest tweets from \u003Cstrong\u003ETesla\u003C/strong\u003E (@\u003Cstrong\u003ETesla\u003C/strong\u003E)\n\n\n[3] Title: Tesla recalls over 125,000 vehicles over issue with seat belt warning system\n[3] URL Source:\n[3] Description: The seat belt warning system is not going off as intended in some \u003Cstrong\u003ETesla\u003C/strong\u003E vehicles, the NHTSA announced.\n\n\n[4] Title: Tesla, Inc. (TSLA) Stock Price, News, Quote & History - Yahoo Finance\n[4] URL Source:\n[4] Description: Find the latest \u003Cstrong\u003ETesla\u003C/strong\u003E, Inc. (TSLA) stock quote, history, news and other vital information to help you with your stock trading and investing.\n\n\n[5] Title: Musk Accused of $7.5 Billion of Insider Trades in Investor Suit\n[5] URL Source:\n[5] Published Time: 2024-05-31T18:16:03.820Z\n[5] Markdown Content:\nElon Musk had inside knowledge of a miss on production and delivery numbers that Tesla Inc. was facing when he sold more than $7.5 billion in stock in 2022, a shareholder in the electric vehicle maker claimed in a lawsuit.\n\nTesla’s chief executive officer had nonpublic information that Tesla would miss the fourth-quarter targets that year when he sold the shares, Tesla investor Michael Perry alleged in the [suit](, filed Thursday in Delaware Chancery Court.\n\nBy relying on that information when selling part of his Tesla stake for funds to bolster his buyout of the social media platform X, then known as Twitter, Musk “exploited his position at Tesla, and he breached his fiduciary duties” to the company and its shareholders, Perry said in the complaint.\n\n![Image 1](\n\nElon Musk\n\nPhotographer: Nathan Laine/Bloomberg\n\n“Musk profited from his misconduct and his exploitation of material and adverse inside information,” the suit alleges. Perry asked Judge [Kathaleen St. J. McCormick]( to order Musk, the world’s second-richest person, to return the profit from his allegedly improper trading to the company.\n\nAlex Spiro, a lawyer for Musk, didn’t immediately return an email Friday seeking comment on the lawsuit.\n\nIt’s the latest dispute over Musk and his stock purchases, sales and talk. The suit comes in the same week the 52-year-old billionaire agreed to sit for a third round of questioning by the US Securities and Exchange Commission in its probe of his Twitter acquisition and whether he properly disclosed his initial stake in the company.\n\nEarlier, after clashing with the SEC over a Twitter post he made about taking Tesla private, he incurred a fine and was forced to accept a “Twitter sitter,” a Tesla lawyer to screen his communications about the company.\n\nRead More: Tesla’s Slump Exposes Elon Musk’s Distractions Across His Empire\n\nIn his lawsuit, Perry also names as defendants Tesla directors for allegedly failing to make sure Musk complied with his legal obligations in the stock sales and statements about the carmaker’s performance. Musk touted the quarterly performance earlier in 2022, saying the company enjoyed “excellent demand” and expected “to sell every car we make as far into the future as we can see,” according to the suit.\n\nBut he learned in November 2022 — about midway through the quarter — that Tesla wouldn’t meet its targets for the period, Perry claims. Before that development was announced publicly in January 2023, Musk made the $7.53 billion share sale, Perry says.\n\nOn Jan. 3, 2023, the first trading day after the Jan. 2 announcement of the numbers, Tesla shares fell 12% from their close of $123.18 on Dec. 30, 2022, to $108.10, according to the complaint.\n\nMcCormick has dealt with Musk before. She oversaw a case over his unsuccessful effort to back out of buying Twitter. And in January she voided his $56 billion pay package after finding that Tesla directors who approved it in 2018 had a conflict of interest and that Tesla failed to properly disclose the terms of the executive compensation plan.\n\nTesla is asking investors to vote on it a second time, at the company’s June 13 annual meeting, to show they still back the plan, which could help in a legal appeal of McCormick’s decision. Proxy adviser Institutional Shareholder Services is urging them to reject the pay package.\n\nThe stock sale case is Perry v. Musk, 2024-0560, Delaware Chancery Court (Wilmington).\n\nTo contact the reporter on this story:  \nJef Feeley in Wilmington, Delaware at [](\n\nTo contact the editors responsible for this story:  \nMisyrlena Egkolfopoulou at [](\n\nPeter Jeffrey, Peter Blumberg\n\n© 2024 Bloomberg L.P. All rights reserved. Used with permission.\n"
4  }

Formated Response

1[1] Title: Electric Cars, Solar & Clean Energy | Tesla
2[1] URL Source:
3[1] Markdown Content:
4¹ Excludes taxes and fees with price subject to change. Available in select states and requires credit approval. [Est. gas savings]( is $100/month.  
5[See Details](
7² Price before estimated savings is $38,990, excluding taxes and fees. Subject to change.  
8[Learn about est. gas savings](
10³ Price before estimated savings is $77,990, excluding taxes and fees. Subject to change.  
11[Learn about est. gas savings](
13⁴ Price before estimated savings is $72,990, excluding taxes and fees. Subject to change.  
14[Learn about est. gas savings](
17[2] Title: Tesla (@Tesla) / X
18[2] URL Source:
19[2] Markdown Content:
20Don’t miss what’s happening
22People on X are the first to know.

Integration with LLMs/Agents:

Realtime knowledge for LLMs can be easily integrated with various LLMs and agents. Once the relevant links are retrieved, they can be used by your preferred system to pull detailed and updated information from the web.

Steps for Integration:

  1. Submit Query: Send a keyword or question to the API.
  2. Retrieve Links: Receive a list of relevant links from the API.
  3. Fetch Data: Use these links to fetch real-time data using your LLM or agent.
  4. Process Data: Analyze and utilize the data as needed for your specific task.


  • Up-to-date Information: Always get the latest information from the web.
  • Easy Integration: Simple to integrate with existing LLMs and agents.
  • Free of Cost: No charges for using the API.
  • Time-Saving: Automates the process of finding relevant information, allowing you to focus on analysis and application.

This API streamlines the process of accessing real-time web data, enhancing the capabilities of your language models and agents by ensuring they have the freshest data available for their tasks.Body

Maintained by Community
Actor metrics
  • 6 monthly users
  • 0 stars
  • 94.6% runs succeeded
  • Created in Jun 2024
  • Modified 4 days ago