MiroMind
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MiroMind

An open AI agent platform for complex research and long-chain reasoning

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What is MiroMind?

MiroMind is a general-purpose reasoning and in-depth research platform designed for dealing with complex problems. It carries out tasks such as planning, searching, analyzing, verifying, and improving, and then delivers evidence-based answers or web-based reports.

The platform is suitable for scientific research, mathematics, programming, financial analysis, competitive intelligence, and predictive tasks. It places more emphasis on long-chain reasoning and real-time information than on ordinary conversations, but it still cannot guarantee that every conclusion will be correct.

Core functions of MiroMind

Deep Research: In-depth Studies

Deep Research will autonomously search for, browse, and consolidate a large amount of web content. As a result, it generates research reports backed by evidence, rather than just providing brief summaries.

Multi-step reasoning and verification

MiroMind uses a Plan, Execute, Verify, Improve cycle to handle complex tasks. The system checks the intermediate results, but automatic verification can still be affected by sources of error and reasoning biases.

Basic and Pro models

Users can choose between the Basic and Pro versions. The Pro version consumes roughly twice as much resources as the Basic version, and it is suitable for tasks that require a higher quality of inference.

Real-time web intelligence

The platform can utilize real-time searches, and it does not rely solely on data obtained from model training. When dealing with news, prices, policies, and market changes, it is still necessary to verify the date of the source and the original text.

Forecasting and scenario analysis

MiroMind places emphasis on temporal reasoning and forward-looking analysis, and can be used for analyzing competitive landscapes, financial trends, and for scenario modeling. Predictions are merely judgments based on current evidence; they should not be regarded as definitive outcomes or investment advice.

Web report generation

Complex studies can be presented as structured web reports. Free users have a limited number of such reports, while Pro users can obtain reports at a lower cost through credit points.

Use across multiple platforms

MiroMind offers web versions as well as iOS and Android apps. The mobile apps are suitable for viewing tasks and asking further questions, while long reports are better reviewed on a larger screen.

Comparison of prices for MiroMind individual plans

The following shows the monthly pricing as verified on the official pricing page. The annual payment option indicates a 16% discount; the final amount, including taxes, will be indicated on the settlement page.

PackagePricecreditsPrimary interests
Free$100 every 24 hoursThe Basic and Pro versions are available; additional packages can be purchased, but the generation of web reports is limited.
Pro$20,000 per monthPriority response, queue skipping, early access to new features, and lower web report usage
Starter Boost$4,000One-time large-size pack, valid for 365 days

Service Credits are not cash; they cannot be transferred, traded, or exchanged. According to the official terms, prepaid and promotional credits are generally non-refundable and valid for 12 months from the date of issuance, although the specifics regarding additional packages may vary as indicated on the relevant page.

Credits consumed per individual issue

The system automatically classifies problems as Simple, Medium, or Complex based on their complexity. When the Pro model is selected, twice as many credits are consumed as with the Basic model.

ComplexityBasicProSuitable for tasks
S Simple100 credits200 creditsSingle-fact facts, brief analyses, and questions with clear scope
M Medium300 credits600 creditsMulti-source comparison, interpretation, and structured analysis
L complex800 credits1,600 creditsLong-chain research, complex reasoning, and in-depth reporting

The actual classification is determined by the system, and it is not based on the number of characters. With 20,000 credits per month, Pro users can theoretically complete around 100 simple Pro questions, or about 12 complex Pro questions.

MiroMind API pricing

The developer platform adopts a combination of prepaid resource packages and pay-as-you-go pricing. Personal subscription credits and API balances cannot be used interchangeably by default.

API models or toolsEnter priceOutput priceExplanation
mirothinker-1-7-deepresearch-mini$10 dollars per million tokens30B mid-range research Agent, good value for money
mirothinker-1-7-deepresearch4 dollars per million tokens25 dollars per million tokens235B Flagship Research Agent
Web search fetch$Includes search, crawling, and information extraction within the tool.
Pure URL explorationFreeOnly return the list of links; do not fetch the pages.

The statistics for model tokens include internal reasoning by the Agent, the incorporation of results from various tools, and information extraction. Internal tools such as sandbox execution and command-line interfaces are already included in the price per token.

The official documentation indicates that API calls are available at 75% of the regular price, but this promotion will end soon. The tables in the document show the standard prices; the actual costs shall be based on those displayed in the console and on the bills.

API billing rules

  1. Check the resource package:The system first uses the existing prepaid call quota.
  2. Pre-frozen balance:When there are insufficient resource packages, the estimated cost is frozen based on the task type.
  3. Actual settlement:After the task is completed, the fee will be charged based on the actual number of tokens and tool uses; any excess amount will be refunded and any shortfall will be deducted.
  4. Platform failure:No fee is charged in the event of a service failure, and the frozen funds are refunded.
  5. Proactive cancellation:Only the fees for models and tools that were generated prior to cancellation are charged.

MiroMind In-Depth Study Tutorial

  1. Definition problem:Specify the research subject, time frame, location, evaluation criteria, and delivery format.
  2. Select model:Use Basic for regular exploration, and Pro for important and complex tasks.
  3. Restrict sources:Priority should be given to the official website, papers, regulatory documents, and raw data.
  4. Check task complexity:Run large-scale research only after confirming the estimated credits.
  5. Check the evidence:Open each reference one by one and verify the date, author, figures, and context.
  6. Follow-up question on the gap:It is required to list evidence of conflicts, unknown information, and unverifiable judgments.
  7. Export report:Retain the generation time and source, followed by manual editing and fact verification.

How to formulate better research questions

The question should include the background, the main objectives, the constraints, and the intended purpose. Instead of simply writing “analyze a certain industry,” it is necessary to specify the year, the market, the indicators, the competitors, and the decisions that need to be made.

Predictive tasks should also specify the baseline scenario, optimistic scenario, pessimistic scenario, and the conditions that would trigger them. This makes it easier to determine under what circumstances the conclusions might become invalid.

MiroMind API Integration Tutorial

  1. Register on the developer platform, obtain an experience resource package, and top up a small amount of funds.
  2. Create an API Key and store it only in server-side environment variables.
  3. Submit requests using the OpenAI-compatible Chat Completions interface.
  4. Select the mini or flagship DeepResearch model depending on the task.
  5. Use flow-based response logging to record the reasoning phase, tool activities, and the final answer.
  6. Set maximum budget, timeout, cancellation, retry, and concurrency limits.
  7. Check the final cost of each call and any abnormal refunds in the console.

MiroMind open-source project

MiroMind’s research Agent technology stack includes MiroFlow, MiroThinker, MiroVerse, as well as components related to training infrastructure. The official goal is to make the frameworks, models, data, and training capabilities available to everyone.

MiroFlow is an open-source research Agent framework licensed under Apache 2.0. It supports GPT, Claude, Gemini, Qwen, MiroThinker, as well as tools for searching, Python, file reading, and speech transcription.

Requirements for local deployment of MiroFlow

The official version requires Python 3.12, uv, as well as Linux or macOS to be installed quickly. Basic examples need an OpenRouter API Key for configuration; therefore, even though the framework is open source, its use is not completely free of cost.

MiroThinker can be used to create local research services; official documentation suggests the use of a single RTX 4090 card. The actual video memory capacity, speed, and model licenses need to be checked according to the specific version in use.

The difference between platforms and open-source frameworks

ProjectFormIs it open source?Suitable for users
MiroMind Web and AppManaged Research and Reasoning ServicesThe platform itself is not open source.Ordinary researchers and professional users
MiroMind APIOpenAI-compatible cloud interfaceThe service is not open-source.Application developers and enterprises
MiroFlowStudy the Agent frameworkApache 2.0Agent development and research replication
MiroThinkerTool reasoning model seriesAccording to the specific model licenseLocal research and model experiments
MiroVerseStudy Agent training dataBased on dataset licenseResearch on Training and Evaluation

Accuracy and security considerations

  • In-depth research may cite incorrect, low-quality, or outdated pages;
  • Financial, medical, legal, and scientific conclusions must be verified by professionals and cannot be used directly in high-risk decisions;
  • The prediction results are affected by data gaps, changes in events, and model assumptions.
  • Any probability or ranking should be accompanied by information on time, evidence, and uncertainty.
  • When uploading files and using APIs, avoid submitting keys, personal data, and unauthorized confidential information.
  • When integrating with a company, it is also necessary to verify the terms regarding data retention, training and usage, geographic location, deletion, and access control.

Which users are it suitable for

  • Analysts who require in-depth research from multiple sources and evidence-based reports;
  • Researchers who work on scientific, mathematical, programming, and logical problems;
  • Corporate teams that conduct competitive intelligence, trend, and scenario analysis;
  • Developers who wish to study Agents through API integration;
  • AI engineers in need of open-source research frameworks and models.

Frequently Asked Questions

Is MiroMind free?

There is a free option that provides 100 credits every 24 hours. With this free version, it is possible to use the Basic and Pro models, but web-based reports and the amount of data available are limited.

How much is MiroMind Pro?

The monthly fee is $19, which includes 20,000 credits per month. The annual payment option indicates a 16% savings.

Will the extra quantity pack expire?

Starter Boost costs $4.99 and provides 4,000 credits, valid for 365 days. The amount of credits available for other options is specified on the relevant page along with the credit terms.

Does MiroMind have an API?

It offers OpenAI-compatible APIs that support streaming responses, inference, and the use of various tools. The costs are determined by the number of model tokens used and the number of web page crawls performed.

Is MiroMind open source?

The commercial platform is not entirely open source, but research projects such as MiroFlow, MiroThinker, and MiroVerse are available publicly. It is necessary to check each license separately for different projects.

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