Guide

Deep Research

Learn how to use the Desearch API to do deep research.

This API automates comprehensive report generation, aggregating insights from authoritative sources and transforming raw data into structured, human-readable research outputs. This API is designed for applications requiring detailed analysis and formatted deliverables, including competitive intelligence, market studies, and technical white papers.

Using Desearch Deep Research API

The following examples demonstrate how to interact with the Desearch Deep Research API using multiple coding platforms.

Request Sample

The following scripts:

  • Sends a POST request to the Deep Research API at https://api.desearch.ai/desearch/deep/search.

  • It includes an Authorization header with an API key and sets the Content-Type to "application/json".

  • The request body contains parameters such as "date_filter": "PAST_24_HOURS", which limits results to the past 24 hours.

  • The "prompt" field contains the query "Bittensor", and "streaming": False
    ensures non-streaming results.

  • The "tools" list specifies multiple data sources, including "web", "hackernews", "reddit", "wikipedia", "youtube", "twitter", and "arxiv".

  • The script sends the request, passing the URL, payload, and headers, and then prints the raw response text

import requests

    url = "https://api.desearch.ai/desearch/deep/search"
    headers = {
        "Authorization": "<your-api-key>",  # Replace with your actual API key
        "Content-Type": "application/json"
    }
    data = {
        "date_filter": "PAST_24_HOURS",
        "prompt": "Bittensor",
        "streaming": False,
        "tools": [
            "web",
            "hackernews",
            "reddit",
            "wikipedia",
            "youtube",
            "twitter",
            "arxiv"
        ]
    }

    response = requests.post(url, json=data, headers=headers)

    # Handle errors gracefully
    if response.status_code == 200:
        try:
            print(response.text)
        except ValueError:
            print("Invalid JSON response received.")
    else:
        print(f"Error: {response.status_code}, {response.text}")
    const url = "https://api.desearch.ai/desearch/deep/search";
    const headers = {
        "Authorization": "<your-api-key>",
        "Content-Type": "application/json"
    };
    const data = {
        date_filter: "PAST_24_HOURS",
        prompt: "Bittensor",
        streaming: false,
        tools: [
            "Web Search",
            "Hacker News Search",
            "Reddit Search",
            "Wikipedia Search",
            "Youtube Search",
            "Twitter Search",
            "ArXiv Search"
        ]
    };

    fetch(url, {
        method: "POST",
        headers: headers,
        body: JSON.stringify(data)
    })
    .then(response => response.text())
    .then(data => console.log(data))
    .catch(error => console.error("Error:", error));
    const axios = require('axios');

    const url = "https://api.desearch.ai/desearch/deep/search";
    const headers = {
        "Authorization": "<your-api-key>",
        "Content-Type": "application/json"
    };
    const data = {
        date_filter: "PAST_24_HOURS",
        prompt: "Bittensor",
        streaming: false,
        tools: [
            "Web Search",
            "Hacker News Search",
            "Reddit Search",
            "Wikipedia Search",
            "Youtube Search",
            "Twitter Search",
            "ArXiv Search"
        ]
    };

    axios.post(url, data, { headers })
        .then(response => console.log(response.data))
        .catch(error => console.error("Error:", error));
    <?php
    $url = "https://api.desearch.ai/desearch/deep/search";
    $headers = [
        "Authorization: <your-api-key>",
        "Content-Type: application/json"
    ];
    $data = [
        "date_filter" => "PAST_24_HOURS",
        "prompt" => "Bittensor",
        "streaming" => false,
        "tools" => [
            "Web Search",
            "Hacker News Search",
            "Reddit Search",
            "Wikipedia Search",
            "Youtube Search",
            "Twitter Search",
            "ArXiv Search"
        ]
    ];

    $ch = curl_init($url);
    curl_setopt($ch, CURLOPT_POST, true);
    curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($data));
    curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);

    $response = curl_exec($ch);
    curl_close($ch);

    echo $response;
    ?>
    import Foundation

    let url = URL(string: "https://api.desearch.ai/desearch/deep/search")!
    var request = URLRequest(url: url)
    request.httpMethod = "POST"
    request.setValue("<your-api-key>", forHTTPHeaderField: "Authorization")
    request.setValue("application/json", forHTTPHeaderField: "Content-Type")

    let requestData: [String: Any] = [
        "date_filter": "PAST_24_HOURS",
        "prompt": "Bittensor",
        "streaming": false,
        "tools": [
            "Web Search",
            "Hacker News Search",
            "Reddit Search",
            "Wikipedia Search",
            "Youtube Search",
            "Twitter Search",
            "ArXiv Search"
        ]
    ]

    do {
        request.httpBody = try JSONSerialization.data(withJSONObject: requestData, options: [])
    } catch {
        print("Error serializing JSON:", error)
    }

    let task = URLSession.shared.dataTask(with: request) { data, response, error in
        if let error = error {
            print("Error:", error)
            return
        }
        if let data = data {
            print(String(data: data, encoding: .utf8) ?? "Invalid response")
        }
    }

    task.resume()

Parameters

Required

  • url: The endpoint for the Desearch API.
  • payload/body: A JSON string or dictionary containing:
    • prompt: A string representing the search query.
    • tools: A list of tools to be used for the search, e.g., ["web"].
    • date_filter: A string to filter search results by date, e.g., "PAST_24_HOURS".

Optional

  • streaming: A boolean indicating whether to enable streaming responses. Defaults to true.

Response Sample

Based on the above code, here is how the response is retrieved as Text.

# Executive Summary

## Overview of Bittensor

Bittensor is an open-source protocol facilitating a decentralized and collaborative machine learning (or AI) network, creating a market where synthetic or machine intelligence becomes a tradable commodity. It employs a novel consensus method called Proof-of-Intelligence, where miners produce machine learning responses, and validators assess these responses to determine token rewards. The network is designed as a series of subnets, each focused on specific machine learning tasks, promoting scalability and specialization. Bittensor (TAO) is a decentralized machine learning network that allows users to train AI models collaboratively while earning token-based rewards. It was created with the vision of democratizing artificial intelligence by combining blockchain architecture with the development of open, permissionless, and censorship-resistant AI systems. This shifts the control of AI from centralized corporations to a decentralized network of miners, validators, and model contributors. Key features include incentivized AI training, Proof-of-Intelligence consensus, decentralized subnets, and open-source and community-governed operations. Dynamic TAO, introduced on February 13, 2025, is a significant evolution in Bittensor's tokenomics and governance, aiming for more thorough decentralization. It introduces a new token per subnet and gradually shifts consensus dynamics over 100 days. TAO.BOT's 2025 roadmap includes short-term goals within one month of April 1, 2025, featuring enhancements like User Global PnL, Enhanced Explore Page, Smart Slippage Optimization, Advanced TradingView Charts, and Staking Position Stats. Bittensor (TAO) price is projected to surge by 70% in the coming weeks, with a potential peak of $1239 by August 2025, driven by factors such as the removal of the Seed Tag from TAO by Binance on July 9, 2025, and the launch of Unilabs Finance's AI Fund in 2025. As of April 2025, TAO has shown considerable volatility, with its price hovering around $211.05, down from its all-time high of $757.60 in March 2024. Despite the fluctuations, the long-term outlook for TAO remains promising, largely driven by the increasing demand for AI solutions. https://ai-seedfinder.com/crypto-tech-updates/bittensor-review-2025-the-future-of-machine-intelligence/ https://coinedition.com/bittensor-tao-price-prediction/ https://docs.learnbittensor.org/dynamic-tao/ https://www.bitrue.com/blog/Tao-bittensor-roadmap https://coincentral.com/bittensor-price-prediction-tao-surges-70-in-2-weeks-as-unilabs-confirms-ai-fund-launch-in-2025/ https://thecurrencyanalytics.com/altcoins/bittensor-price-prediction-2025-2031-tao-investment-outlook-168664

## Key Developments and Milestones

Dynamic TAO, introduced on February 13, 2025, marks a pivotal shift in Bittensor's tokenomics and governance, transitioning to a more decentralized model with a new token per subnet and a gradual consensus shift over 100 days. This upgrade includes a market-driven emission model, enhancing subnet operations and decentralization, and is expected to increase efficiency and create subnet tokens, rewarding miners, validators, and subnet owners in alignment with staking activity. https://docs.learnbittensor.org/dynamic-tao/ https://www.techopedia.com/how-bittensor-enables-scalable-decentralized-ai-networks Bittensor's expansion is evident with 118 active subnets as of early June 2025, driven by key figures like Jacob Robert Steeves and Rayon Labs, with significant institutional backing including a $50 million investment from DNA Fund and $7.5 million from Oblong. https://nftenex.com/bittensor-118-active-subnets-decentralized-ai/ TAO.BOT's 2025 roadmap, effective from April 1, 2025, includes enhancements like User Global PnL, Enhanced Explore Page, Smart Slippage Optimization, Advanced TradingView Charts, and Staking Position Stats. https://www.bitrue.com/blog/Tao-bittensor-roadmap Bittensor's first halving is anticipated around November 29, 2025, when the emission rate of TAO will halve from 1 TAO per 12 seconds to 0.5 TAO per block, introducing scarcity similar to Bitcoin's halving mechanism. This event is expected to impact TAO's market dynamics significantly. https://3zebras.com/news/bittensors-first-halving-could-tao-mirror-bitcoins-meteoric-rise/12112/ The price of TAO is projected to surge by 70% in the coming weeks, with a potential peak of $1239 by August 2025, driven by factors such as the removal of the Seed Tag from TAO by Binance on July 9, 2025, and the launch of Unilabs Finance's AI Fund in 2025. https://coincentral.com/bittensor-price-prediction-tao-surges-70-in-2-weeks-as-unilabs-confirms-ai-fund-launch-in-2025/

## Market Projections and Price Analysis

Bittensor's price on July 30, 2025, is $380.48, with a trading range of $375.00 to $384.72. The previous day's close was $383.65, indicating a -0.83% change. Predictions for August 2025 suggest a starting price of $366, with a high of $597 and a low of $302, averaging $404 for the month. The forecasted end price for August is $349, with a 0.9% change. https://longforecast.com/tao-coin Bittensor's price prediction for August 2025 ranges from a minimum of $322.119 to a maximum of $473.704, with an average price of $378.963, indicating a 0.13% change. The price is expected to increase steadily throughout the year, with a predicted average price of $401.528 by December 2025. https://cryptopredictions.com/bittensor/ Bittensor (TAO) price is projected to surge by 70% in the coming weeks, with a potential peak of $1239 by August 2025, driven by factors such as the removal of the Seed Tag from TAO by Binance on July 9, 2025, and the launch of Unilabs Finance's AI Fund in 2025. https://coincentral.com/bittensor-price-prediction-tao-surges-70-in-2-weeks-as-unilabs-confirms-ai-fund-launch-in-2025/ Bittensor's price prediction for August 29, 2025, is $283.58, a -24.61% drop from the current price of $380.55. The Fear & Greed Index is 74 (Greed), with neutral sentiment and 11.56% volatility over the last 30 days. Short-term targets for early August 2025 range from $376.15 to $290.51, indicating a downward trend. https://coincodex.com/crypto/bittensor/price-prediction/ The introduction of Dynamic TAO on February 13, 2025, marks a significant evolution in Bittensor's tokenomics and governance, aiming for more thorough decentralization. It introduces a new token per subnet and gradually shifts consensus dynamics over 100 days. This could potentially influence market sentiment and price movements as the community adapts to the new governance structure. https://docs.learnbittensor.org/dynamic-tao/ The 2025 roadmap for TAO.BOT includes short-term goals within one month of April 1, 2025, featuring enhancements like User Global PnL, Enhanced Explore Page, Smart Slippage Optimization, Advanced TradingView Charts, and Staking Position Stats. These developments could positively impact market projections by enhancing user experience and functionality. https://www.bitrue.com/blog/Tao-bittensor-roadmap
ng, and storage. These subnets operate autonomously, establishing unique incentive structures and performance benchmarks, with contributors known as miners competing to solve AI-related tasks. Validators evaluate the quality of submissions, ensuring data accuracy and model performance. The Dynamic TAO upgrade, introduced on February 13, 2025, allows the open market to determine the value of each subnet, replacing the previous exclusive distribution of rewards in TAO tokens. This shift towards decentralization aims to create a more thorough decentralization and a healthier competitive environment for AI development. The platform's approach to AI development is characterized by a decentralized market where AI is developed and priced peer-to-peer, contrasting with the current ecosystem dominated by tech giants. This democratizes access to AI, ensuring a more equitable distribution of its benefits. The innovative incentive mechanism rewards contributors in digital currency, fostering a competitive environment for AI development. Bittensor's tokenomics, modeled after Bitcoin's scarcity, feature a capped supply of 21 million TAO tokens distributed through a halving mechanism. This ensures that rewards are hard-earned, aligning incentives with real-world impact. Participants can stake their TAO into promising subnets, receiving subnet-specific alpha tokens in return, creating a market-driven funding model where only the most effective projects thrive. The TAO.BOT's 2025 roadmap includes short-term goals within one month of April 1, 2025, featuring enhancements like User Global PnL, Enhanced Explore Page, Smart Slippage Optimization, Advanced TradingView Charts, and Staking Position Stats. The Bittensor (TAO) price is projected to surge by 70% in the coming weeks, with a potential peak of $1239 by August 2025, driven by factors such as the removal of the Seed Tag from TAO by Binance on July 9, 2025, and the launch of Unilabs Finance's AI Fund in 2025. The platform's future directions also include the integration of new technologies and contrarian ideas, ensuring that Bittensor remains at the forefront of AI and blockchain innovation. The platform's future directions also include the integration of new technologies and contrarian ideas, ensuring that Bittensor remains at the forefront of AI and blockchain innovation. The platform's future directions also include the integration of new technologies and contrarian ideas, ensuring that Bittensor remains at the forefront of AI and blockchain innovation. The platform's future directions also include the integration of new technologies and contrarian ideas, ensuring that Bittensor remains at the forefront of AI and blockchain innovation. https://docs.learnbittensor.org/dynamic-tao/ https://www.bitrue.com/blog/Tao-bittensor-roadmap https://coincentral.com/bittensor-price-prediction-tao-surges-70-in-2-weeks-as-unilabs-confirms-ai-fund-launch-in-2025/ https://www.forbes.com/sites/beccabratcher/2025/04/09/the-rise-of-decentralization-bitcoin-meets-artificial-intelligence/ https://medium.com/nerd-for-tech/why-bittensor-is-the-future-of-ai-5657a64471dc https://www.vtrader.io/news/bittensor-the-premier-hub-for-next-gen-ai-in-2025/

Tools

Web Search

To find information and resources across the internet.

Reddit

To gather community-driven insights and discussions.

YouTube

For video content and tutorials.

Hacker News

To find tech-related news and discussions.

Wikipedia

For detailed and comprehensive information on a wide range of topics.

Twitter

To gather real-time updates and discussions.

arXiv

For accessing research papers and preprints in various fields.

Test API

To experiment with the Desearch Deep Research and see it in action, visit the Desearch API.