Mel By Skymel

    Mel By Skymel

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    Tracks open-web signals to build knowledge graphs. Generates intelligence reports and databases, and monitors relevant changes for any target.

    What is Mel By Skymel?

    Mel By Skymel is an artificial intelligence tool specializing in data mining and generating strategic intelligence from the open web. Its primary purpose is to crawl millions of websites to locate "microsignals"—small indicators of activity such as forum comments, changes in job postings, or footnotes in regulatory documents—and connect them. Unlike traditional search tools, this platform organizes information into a dynamic knowledge graph designed to meet specific research objectives.

    The workflow of Mel By Skymel is divided into several technical stages. After defining a search objective, the AI scans heterogeneous sources, including specialized social networks (LinkedIn, Reddit, X), code repositories like GitHub, video platforms, patent registries, and corporate websites. Using Natural Language Processing (NLP) algorithms, the tool identifies key entities—people, companies, and locations—and establishes chronological and causal links between them. This approach provides a 360-degree view of complex markets or emerging technological trends without the need for exhaustive manual searches.

    The application's functional capabilities allow users to:

    • Generate detailed intelligence reports that explain the origin and evolution of certain market movements by correlating signals.
    • Build custom datasets with specific attributes and relationships, ready for use in internal analysis or by other AI agents.
    • Establish a continuous monitoring system that detects minimal changes in the digital environment and automatically analyzes their potential impact on the user's objective.
    • Conduct deep competitive research, allowing for real-time tracking of everything from pricing model changes to executive departures or new strategic hires.

    This solution is especially valuable for competitive intelligence professionals, market analysts, and Go-to-Market (GTM) teams. Its ability to process unstructured information at scale makes it an indispensable resource for high-innovation sectors, such as SaaS software development, AI infrastructure, and supply chain risk management. By automating data collection that would typically require hours of manual research at a computer, Mel By Skymel offers an operational advantage based on precise and verifiable data, always linking every finding back to its original source to ensure information traceability.

    Mel By Skymel features and use cases

    •Tracking microsignals across millions of websites, including LinkedIn, GitHub, and public records.
    •Automatically building structured knowledge graphs centered on a specific target.
    •Generating detailed intelligence reports with clear findings and actionable context.
    •Creating custom datasets with entities and relationships extracted from the open web.
    •Continuous monitoring of relevant changes and detection of new signals following the initial investigation.
    •Identifying high-potential sales prospects through in-depth analysis of market signals.
    •Mapping tier-2 suppliers and conducting risk analysis across global supply chains.
    •Tracking price changes and billing models across SaaS competitors.
    •Historical data searches spanning from ten days to three years.
    •Entity resolution to link individuals and companies with specific activities across multiple sources.

    How to use Mel By Skymel

    1Define the specific objective or goal for what you want to find, collect, or track on the open web.
    2Select your preferred search history range, spanning from ten days to three years back.
    3Choose the research depth from the focused, deep, or exhaustive levels based on the volume of sources to be analyzed.
    4Set the target type as single, connected, or a strategic program based on the complexity of the query.
    5Complete the service payment according to the selected time frame, depth, and target configuration.
    6Enter the detailed research objective immediately after completing the payment process.
    7Wait for the tool to crawl micro-signals from sources such as LinkedIn, Reddit, GitHub, public records, and corporate sites.
    8Review how the system automatically links people, companies, locations, and dates to build a knowledge graph.
    9Request an intelligence report to obtain root cause analysis, signal correlation, and clear conclusions.
    10Generate custom datasets by defining the specific entities and relationships you need to download.
    11Set up continuous monitoring to detect relevant changes and receive updates on how they affect your objective.
    12Access intelligence feeds to deliver signals and findings directly into other applications or internal systems.

    Mel By Skymel FAQ

    What exactly is Mel By Skymel, and how can it help my business?

    It is an intelligence tool that crawls the open web for small signals to build a custom knowledge graph, allowing you to generate reports, create databases, or monitor relevant changes.

    What does Mel By Skymel mean by "microsignals"?

    Microsignals are scattered public details—such as forum comments, job posting requirements, or footnotes in official records—that gain strategic value when they are interconnected.

    Do I need to build the knowledge graph on the platform myself?

    No, the tool handles locating the information, identifying the entities involved, and automatically connecting the entire context based on the objective you have defined.

    Can I get a structured dataset instead of a text report?

    Yes, you can define the specific entities and fields you need so the tool can generate a custom dataset with all the gathered and connected information.

    How much does it cost to conduct an investigation with Mel By Skymel?

    One-time investigations start at $150, and the price varies depending on the depth of the crawl, the historical data consulted, and the number of connected objectives.

    What information sources does Mel use for its analysis?

    The tool crawls millions of public websites, including professional social networks, code repositories, patent records, earnings call transcripts, and the trade press.

    Does Mel By Skymel offer an option to keep information continuously updated?

    Yes, you can set up a recurring monitoring service so the tool detects relevant changes and new signals affecting your intelligence goals following the initial investigation.

    How does Mel decide which information is relevant to my specific goal?

    The tool analyzes relationships between people, companies, and events found on the web to determine which data directly impacts your goal and filters out irrelevant noise.

    Mel By Skymel pricing and plans

    Single-Objective Investigations

    From $150 to $3,000 (one-time payment based on history and depth configuration).

    Search History: 10-day, 30-day, or 6-month options.

    Research Depth: Focused, Deep, or Exhaustive levels.

    Includes micro-signal feed with collected original sources.

    Intelligence report generation featuring findings and analysis by Mel.

    Restriction: Limited to a single distinct question with clear qualification criteria.


    Connected-Objective Investigations

    From $300 to $6,000 (one-time payment based on history and depth configuration).

    Search History: 10-day, 30-day, or 6-month options.

    Research Depth: Focused, Deep, or Exhaustive levels (performs repeated sweeps and discovers new entities and terminology).

    Analysis of multiple related questions to be investigated together.

    Access to intelligence reports and structured datasets.


    Custom Investigations and Strategic Programs

    Custom pricing via quote.

    Extended History: Searches covering 1 to 3 years of data.

    Multi-market coverage and complex research paths.

    Tailored scope definition for large-scale strategic programs.


    Ongoing Monitoring

    Custom pricing via quote.

    Target tracking to keep information up to date following the initial investigation.

    Detection of relevant changes and explanation of their impact on the target.

    Monitoring frequency and micro-signal volume configuration.

    Direct integration of signals and intelligence into applications, internal systems, or AI agents.

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