Cheapest AI answers grounded in real-time web search.

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March 7, 2026

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MIAPI

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Cheapest AI answers grounded in real-time web search.

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Overview

MIAPI is a groundbreaking AI-powered tool that provides answers rooted in real-time web research.(CHEAPEST ON THE WEB while beating other models like perplexity and openai's models.) It is compatible with OpenAI and is designed primarily for developers.

MIAPI offers answers with inline citations, sources, and confidence scores, ensuring provenance and trustworthiness of information. With MIAPI, developers can facilitate an API call to query data and fetch a grounded AI answer.

Usage is simplified as the tool provides seamless integration with Python, JavaScript, and OpenAI, providing developers with sample codes for each. Moreover, MIAPI serves as a drop-in replacement for OpenAI, requiring a change of only a single URL for the existing code to work effectively.

There are multiple modes provided - one can utilize its web-grounded answers mode for answers backed by real-time web search, knowledge mode to get answers from own documented data or combine with web search, and search-only mode to get raw search results.

Notably, MIAPI also features real-time Server-Sent Events streaming, enabling the display of generated answers just like ChatGPT. For enhanced efficiency, it offers fast response times and built-in caching.

Furthermore, MIAPI hosts interesting features like news search and image search, providing a broader spectrum of AI-powered search capabilities.

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Initial release

March 7, 2026

nadir doyuk

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Initial release of MIAPI.

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nadir doyuk

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Pros and Cons

Pros

Inline citations

Source attribution

Confidence scores

Python, JavaScript, cURL SDKs

Quick start API call

Real-time server-sent event streaming

VDedicated news search endpoint

Image search endpoint

Real-time answers generation

Knowledge mode for custom documents

Search-only mode for raw results

Built-in caching

Fast response times

Supports multiple modes

Web-grounded answers

Low cost per query

Multiple API endpoints

98% accuracy

Allows to pass custom context

Multiple language support

Powerful search capabilities

Support for conversation history

Great for developers

Flexible query parameters

Support for search domains restriction

Can be used with LangChain and RAG pipelines

Real-time news intelligence

Image search with detailed info

Web search summaries

No hallucinations in responses

Ability to restrict search to specific domains

News search provides article details

Caching with X-Cache headers

Query packs with no expiry

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Cons

Limited language support

Requires change in URL

No free trial

Unclear caching policy

Lack of multi-model capability

Strict length limitation

Debugging may require API knowledge

Unclear SLA terms

No native mobile support

No visual data analytics

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Q&A

What is MIAPI?

MIAPI is an AI application programmed to deliver answers based on real-time web search. It is specifically designed for developers and it is compatible with OpenAI. This tool has impressive features such as providing answers with inline citations, sources, and confidence scores. These features allow developers to create applications that can provide responses that are verifiable and dependable.

What features does MIAPI offer?

MIAPI offers a broad range of impressive features aimed at enhancing user experience and functionality. These include real-time server-sent events streaming which show generated answers, a knowledge mode that allows developers to pass their own documents, and a search-only mode for raw search results without LLM processing. MIAPI also provides developers with SDKs for Python, JavaScript, and cURL, dedicated news and image search endpoints, and the ability to create applications that yield verifiable and trustworthy responses.

How does MIAPI generate answers based on real-time web search?

MIAPI generates answers based on real-time web search through a likely combination of machine learning and natural language processing algorithms. It processes the search query input and performs a web search to fetch relevant data. This data is then processed, distilled, and structured into a cogent response. Supplementary information such as inline citations, sources, and confidence scores are also generated and attached to the response.

In what languages does MIAPI offer SDKs for integration?

MIAPI provides Software Development Kits (SDKs) compatible with Python, JavaScript, and cURL programming languages. These SDKs offer guides and libraries that simplify the process of integrating MIAPI into a developer's application.

How can developers integrate MIAPI into their applications using JavaScript?

Developers can integrate MIAPI into their applications using JavaScript through an API call. They create an instance of the Fetch API, using the desired MIAPI endpoint as the URL. POST is set as the HTTP method, and the headers object contains 'Content-Type' and 'Authorization', with a bearer access token. The question and citation requirements are added to the body of the request stringified into JSON format. The returned response is processed into JSON format for use in the application.

How is MIAPI compatible with OpenAI?

MIAPI's compatibility with OpenAI means that it is designed to work seamlessly with existing OpenAI codes with minimal changes. This makes it a convenient solution for developers who have previously used OpenAI as they only need to switch a URL, indicating MIAPI as the new AI service, to instantaneously establish compatibility.

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What does MIAPI mean by 'drop-in replacement' for OpenAI's chat completions?

When MIAPI refers to a 'drop-in replacement' for OpenAI's chat completions, it essentially means it can substitute OpenAI's chat completion functionality without any significant changes to existing code. Changing only one URL for MIAPI can turn the OpenAI code operable instantly.

How does the quick start feature of MIAPI work?

The quick start feature allows developers to get an AI answer grounded in real-time web search with just one API call. It streamlines the process of integrating MIAPI into an application, reducing the time and complexity involved in setting up the API.

What is the significance of inline citations, sources, and confidence scores provided by MIAPI?

Inline citations, sources, and confidence scores provided by MIAPI play a critical role in supporting the veracity and trustworthiness of its returned answers. Inline citations help trace the origin of the information within the answer. Source attribution gives context and allows for further exploration of the topic, while confidence scores provide a quantified measure of how likely the answer is correct according to MIAPI’s AI algorithms.

What are real-time server-sent events in the context of MIAPI?

Real-time server-sent events in the context of MIAPI involve the streaming of AI responses as they are being generated. This feature offers developers an interactive rendering of the AI's thought process, showing answers being formed in real-time, much like a human-to-human chat.

How does MIAPI's knowledge mode function?

MIAPI's knowledge mode allows developers to pass their own documents as context. This means the AI considers the provided documents when generating a response, leading to the creation of uniquely tailored responses. This feature is especially useful when a developer wants the AI to answer queries based on specific data sets or particular document content.

What does it mean that MIAPI offers a search-only mode that brings raw search results without Language Model processing?

MIAPI's search-only mode is capable of generating raw search results without Language Model (LLM) processing. This means it bypasses the stage of interpreting and reformulating the search results into natural language, instead providing the raw search results directly. This feature can be particularly useful for developers who want to bring their own model or who need basic search data for creating specialized AI responses.

What does MIAPI's feature of real-time news intelligence entail?

MIAPI's real-time news intelligence is dedicated to searching for recent news articles based on the provided query. This feature delivers up-to-date information from reliable news sources, including article dates, sources, and snippets.

How can MIAPI be used to find images across the web?

MIAPI can be used to find images across the web through a specific image search endpoint. This feature provides a list of images related to the search query with contextually relevant information such as titles, thumbnails, dimensions, and source URLs.

How user-friendly is MIAPI's API?

MIAPI's API is designed to be incredibly user-friendly. It offers a simple and clear endpoint structure, providing extensive documentation and example codes for ease of use. It also provides quick-start examples and SDKs in multiple popular languages, including Python, JavaScript, and cURL. MIAPI is also easy to integrate with existing OpenAI code, requiring only a change of one URL to function.

What is the cost per query when using MIAPI?

The cost per query when using MIAPI is as low as $0.0025. The actual price depends on the package chosen, starting from Free to Enterprise, with varying limits of queries and API keys, and specific rate limits per minute.

How does MIAPI ensure the responses it provides are verifiable and trustworthy?

By providing inline citations and source attributions with every response, MIAPI ensures that the information it delivers is traceable and accountable. These sources serve as proof of the origins of the AI's responses. In addition, the confidence score provides a quantified measure of how trustworthy an answer is, helping users evaluate the response's reliability.

How does the real-time server-sent events streaming feature of MIAPI work?

MIAPI's real-time server-sent events streaming feature works by showing answers as they generate. This process mimics live chat where responses are sent streamingly with real-time updates, providing developers with a more interactive and live experience of the AI's processing.

Can Python, JavaScript, and cURL be used interchangeably while integrating MIAPI?

Yes, Python, JavaScript, and cURL can be used interchangeably while integrating MIAPI into applications. The compatibility with various programming languages ensures a smooth integration process and allows developers to choose the most suitable language based on their application's needs and their personal preferences.

What makes MIAPI a suitable tool for application development?

MIAPI is an excellent tool for application development because of its host of developer-friendly attributes. Its compatibility with OpenAI, the provision of multiple SDKs, real-time server-sent events streaming, and features like knowledge and search-only modes, provide immense flexibility for developers. It's also designed to provide trustworthy responses backed by inline citations and source attributions, making it a reliable tool to power applications that rely on accurate information retrieval.

What is MIAPI?

MIAPI is an AI tool, specifically designed for developers, that can obtain answers based on real-time web search. It yields results incorporating inline citations, sources, and confidence scores for comprehensive and verifiable responses. MIAPI executes a multitude of functions such as real-time server-sent events streaming, knowledge mode, and search-only mode. It also offers dedicated news and image search endpoints, SDKs for integrating with Python, JavaScript, and cURL, and compatibility with OpenAI.

How does MIAPI operate with OpenAI?

MIAPI functions in harmony with OpenAI as a drop-in replacement. Existing OpenAI code needs only one URL change to function with MIAPI. Additionally, MIAPI inserts web-grounded replies in OpenAI's chat completions, thereby enhancing the accuracy and verifiability of the answers.

What are the key features of MIAPI?

MIAPI has several notable features: inline citations, source attribution, confidence scores, compatibility with OpenAI, various modes including web-grounded answers, knowledge mode, and search-only mode, server-sent events streaming, fast response times, built-in caching, dedicated news and image search endpoints, and SDKs for Python, JavaScript, and cURL.

Can MIAPI return answers with inline citations?

Yes, MIAPI can provide answers with inline citations. This ensures that each answer is supported by real-time web search, underlining its professionalism, verifiability, and trustworthiness.

Does MIAPI provide confidence scores?

Yes, MIAPI offers confidence scores which indicate the level of certainty the AI tool has in the generated answer. This adds an additional layer of trustworthiness to the responses provided.

What is real-time server-sent events streaming in MIAPI?

Real-time server-sent events streaming in MIAPI involves displaying answers as they are generated, similar to a live chat experience. This enhances interactivity and response immediacy, providing end-users with a real-time engagement experience.

How does the knowledge mode in MIAPI work?

The knowledge mode in MIAPI allows users to pass their own documents. The AI tool leverages this to provide answers. The unique facet of this mode is that it combines data from user documents and web search to generate comprehensive and individualized answers.

What does the search-only mode in MIAPI do?

The search-only mode in MIAPI delivers raw search results without any Language Model processing. This flexibility allows developers to utilize their own models, making MIAPI suitable for varied pipelines and workflows.

Is MIAPI a replacement for OpenAI's chat completions?

Yes, MIAPI serves as a viable replacement for OpenAI's chat completions. It augments existing OpenAI chat features by supplying them with web-grounded answers while requiring only a single URL change for seamless integration.

What programming languages does MIAPI support?

MIAPI provides software development kits for Python, JavaScript, and cURL. Using these SDKs, developers can integrate MIAPI into their applications easily and efficiently.

How does MIAPI provide real-time news intelligence?

MIAPI delivers real-time news intelligence by offering a dedicated news search endpoint. This endpoint retrieves recent news articles according to a developer-defined query, offering real-time updates on a wide range of topics.

How can MIAPI be used to find images on the web?

MIAPI can be used to find images on the web through its dedicated image search endpoint. This feature fetches images from across the web, along with their titles, thumbnails, dimensions, and source URLs, which can be used in various applications.

What are the response times of MIAPI?

MIAPI sports fast response times, typically averaging around 1.1-1.5 seconds. Rapid response times fortify user engagement and improve the overall user experience.

Does MIAPI offer built-in caching?

Yes, MIAPI offers built-in caching. This feature minimizes server processing time, making repeated queries return in as fast as 1 millisecond.

What is the process of integrating MIAPI into my applications?

MIAPI can be integrated into applications using its SDKs for Python, JavaScript, and cURL. Developers just need to install the relevant SDK and make API calls according to the instructions provided in the SDK or on the MIAPI website.

Can MIAPI function with my existing OpenAI code?

Yes, MIAPI can function with existing OpenAI code by serving as a drop-in replacement. Changing just one URL in the existing OpenAI code allows it to work instantly with MIAPI.

How different is MIAPI's web-grounded answers mode from others?

MIAPI's web-grounded answers mode differs from others as it is rooted in real-time web search. It presents each answer backed by sources, providing inline citations to ensure verifiability and trust, while eliminating hallucinations.

How can I pass my own documents in MIAPI's knowledge mode?

In MIAPI's knowledge mode, users can pass their own documents by setting the 'knowledge' field in their API request as per provided documentation. The AI then sources answers from the passed documents, from the web, or from a combination of both.

How efficient is MIAPI compared to other AI tools?

MIAPI asserts superiority over other AI tools by delivering multiple features such as confidence scores, source attribution, inline citations, quick response times, caching, and providing broader search capabilities that include image and news search. It is also a drop-in replacement for OpenAI, reducing integration efforts and costs. Additionally, MIAPI displays 98% accuracy in its performance, making it a highly reliable tool.

What does MIAPI's API call entail?

An MIAPI API call involves sending a HTTP POST request to the MIAPI API endpoint with the query contained in the request body. The API then returns a response that not only includes the generated answer, but also the sources, a confidence score, and other relevant query parameters.

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