Data & Analytics Tools

Tools for Data & Analytics

Turn raw data into something an agent can reason over: profile CSVs, score sentiment, and pull text out of images and scans — all on infrastructure you control.

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14Prebuilt tools in this category
100%On-premise & sovereign-cloud ready
Any agentAssignable under role-based policy
AuditedEvery action logged & traceable
Data & Analytics Tools

14 tools in this category

These tools give agents structured signal from unstructured input — spreadsheets, free text, and scanned documents. Assign one to an analytics or strategy agent, or chain them into a network that ingests, extracts, and scores in one pass.

data

CSV Analyzer

Profile any CSV — stats, types, columns, and samples.

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Sentiment Analysis

Score text for sentiment, polarity, and subjectivity.

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OCR Text Extraction

Extract text from images and scans, on-premise.

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Read-Only SQL Query

Query your database safely, read-only.

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Data Profiler

Profile a dataset’s shape, types, and quality.

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Statistics Tool

Run real statistics, not token-guessed math.

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Chart Generator

Turn data into a clean chart image.

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Document Parser

Extract clean text and structure from any document.

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DOCX Parser

Read Word documents with structure intact.

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PPTX Parser

Extract slides, text, and notes from decks.

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XLSX Parser

Read spreadsheets into structured data.

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JSON Schema Validator

Validate JSON against a schema before you trust it.

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Data Transformer

Reshape, filter, and map data between formats.

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Anomaly Detection

Flag the data points that don’t belong.

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In depth

Data & Analytics Tools on VDF AI

From raw files to structured insight an agent can reason over

Most enterprise data arrives as messy files: CSVs, Office documents, and scanned PDFs that a language model cannot reliably reason over on its own. These tools turn that raw input into clean, structured signal. An agent can run a read-only SQL query against your warehouse, profile a dataset for shape and quality, compute summary statistics, and render a chart — or parse the documents themselves with the document, DOCX, PPTX, and XLSX parsers. Round it out with schema validation, data transformation, and anomaly detection so an analytics agent can ingest, clean, and interrogate data in a single workflow.

Analyze sensitive data without it leaving your network

Financial models, customer records, and operational data are the last things a regulated team can paste into a hosted assistant. Every tool in this category runs on-premise or in your sovereign cloud, so profiling, querying, parsing, and scoring all happen inside your perimeter with role-based access and audit logging. Assign one tool to a single analytics agent, or chain several into a governed VDF AI Network that ingests files, validates them, extracts insight, and flags anomalies in one pass.

FAQ

Data & Analytics Tools — frequently asked questions

What data and analytics tools can VDF AI agents use?

Agents can be assigned a read-only SQL query tool, a data profiler, a statistics tool, a chart generator, parsers for CSV, DOCX, PPTX, and XLSX files, a JSON schema validator, a data transformer, and an anomaly detector — enough to ingest raw files and turn them into structured, queryable insight.

Can an AI agent analyze a CSV or Excel file?

Yes. Assign the data profiler, statistics tool, and XLSX parser to an agent and it can read a spreadsheet, describe its structure and quality, compute statistics, and answer questions about the data — then chart the result or flag anomalies.

Can agents query our database directly?

Yes, safely. The read-only SQL query tool lets an agent run SELECT-style queries against your warehouse without any ability to modify data, so you get conversational analytics with a hard guarantee that the agent cannot change records.

Does this data get sent to an external service?

No. Every analytics tool runs on-premise or in your sovereign cloud, scoped per tenant and audit-logged. Files, query results, and derived statistics never leave your perimeter to reach a third-party analytics API.

Can an agent detect anomalies in a dataset?

Yes. The anomaly detection tool scans a dataset for outliers and unusual patterns and returns the flagged records, so an agent can surface fraud signals, data-quality problems, or operational spikes without a human eyeballing every row.

How do I assign a data tool to an agent?

Attach the tool to an analytics or strategy agent from its toolkit under role-based policy. The agent can then call it during a workflow, and several tools can be chained inside a VDF AI Network that ingests, extracts, and scores data end to end.

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Assign data & analytics tools to your agents

See these tools assigned to agents and orchestrated together as a governed, on-premise network.

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