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    Code Assist

    Agent|Built by :Crayon Data India Pvt Ltd|View Profile
    Available in:India · Africa · Middle East
    Hyperscalers:AWS · Azure · GCP · On-Prem

    Transform Data Analysis with Natural Language - Enable teams to explore datasets without SQL expertise. Convert business questions into queries instantly, accelerating decision-making cycles and democratizing data access across your organization.

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    Demo asset
    • Everything you need for self-service data exploration and rapid analytics

    • Natural Language Querying - Converts plain English business questions into executable SQL queries

    • Data Structure Analysis - Automatically analyzes CSV files to understand field meanings and relationships

    • Query Execution - Executes generated SQL and delivers results in downloadable formats

    • Query Modification - Refines existing queries based on additional user instructions

    • Error Detection - Validates query syntax and corrects issues automatically

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    Code Assist powered by Agents

    Anomaly Investigator
    Anomaly Investigator
    The Anomaly Investigator detects fraud, errors, and unexpected activity across transactions, logs, and customer behavior — in real time. This AI agent leverages machine learning to identify unusual patterns or deviations in data, helping users quickly pinpoint critical issues without the need for manual data sifting. It monitors streams and batches, enriches alerts with context, and prioritizes cases for review. Key benefits include reduced fraud losses and false positives, improved operational transparency, and accelerated investigation cycles. The agent is particularly useful in data pipeline validation, regulatory compliance checks, and cross-system data reconciliation.
    Natural Language Query Agent
    Natural Language Query Agent
    The Natural Language Query Agent lets users query data in plain English and get governed answers. It translates questions to SQL/DSL, runs securely, and returns charts or narratives with citations. This agent expands data access beyond analysts, speeds decisions, and reduces ad-hoc BI backlog. It enables non-technical users to access and understand data without specialized knowledge, simplifying data retrieval from various sources.
    Data Cleansing Agent
    Data Cleansing Agent
    The Data Cleansing Agent cleanses, deduplicates, and validates structured and semi-structured data for ML readiness or downstream processing. It addresses data quality issues by fixing missing, inconsistent, or duplicate values to ensure accuracy and reliability. Additionally, it applies domain-specific validation rules to maintain contextual integrity and relevance, while flagging data anomalies for early detection of potential issues.

    Code Assist powered by Agents

    Anomaly Investigator
    Anomaly Investigator
    The Anomaly Investigator detects fraud, errors, and unexpected activity across transactions, logs, and customer behavior — in real time. This AI agent leverages machine learning to identify unusual patterns or deviations in data, helping users quickly pinpoint critical issues without the need for manual data sifting. It monitors streams and batches, enriches alerts with context, and prioritizes cases for review. Key benefits include reduced fraud losses and false positives, improved operational transparency, and accelerated investigation cycles. The agent is particularly useful in data pipeline validation, regulatory compliance checks, and cross-system data reconciliation.
    Natural Language Query Agent
    Natural Language Query Agent
    The Natural Language Query Agent lets users query data in plain English and get governed answers. It translates questions to SQL/DSL, runs securely, and returns charts or narratives with citations. This agent expands data access beyond analysts, speeds decisions, and reduces ad-hoc BI backlog. It enables non-technical users to access and understand data without specialized knowledge, simplifying data retrieval from various sources.
    Data Cleansing Agent
    Data Cleansing Agent
    The Data Cleansing Agent cleanses, deduplicates, and validates structured and semi-structured data for ML readiness or downstream processing. It addresses data quality issues by fixing missing, inconsistent, or duplicate values to ensure accuracy and reliability. Additionally, it applies domain-specific validation rules to maintain contextual integrity and relevance, while flagging data anomalies for early detection of potential issues.