> ## Documentation Index
> Fetch the complete documentation index at: https://docs.neuralverge.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> NeuralVerge is an API-first platform for AI research, extraction, reusable agents, and premium data source execution.

# Introduction

NeuralVerge is an AI research platform for teams that need **structured, operational results** from the web and premium data providers.

It combines research workflows, extraction pipelines, reusable agents, and targeted data source endpoints into one system so product teams, analysts, compliance teams, and internal tools can automate complex information work without stitching together multiple vendors.

## What you can do with NeuralVerge

With NeuralVerge, you can:

* run multi-step AI research workflows
* extract structured fields from webpages and documents
* create reusable agents for recurring tasks
* query premium data sources such as LinkedIn, email, phone, and Crunchbase
* track long-running jobs through asynchronous sessions
* return both human-readable summaries and machine-readable payloads

## Core product areas

### AI Research

Use AI Research when you need a full workflow that can search, inspect sources, reason across findings, and produce a structured final answer.

Best for:

* company intelligence
* risk analysis
* trust and verification workflows
* market and competitor research
* internal analyst copilots

See [AI Research](./ai-research).

### AI Extract

Use AI Extract when you already know the page or source you want to inspect and need a structured schema-based response.

Best for:

* webpage extraction
* profile parsing
* lead capture
* product data extraction
* turning unstructured content into JSON

See [AI Extract](./ai-extract).

### AI Agents

Use AI Agents to save a reusable workflow configuration and run it repeatedly with different runtime instructions.

Best for:

* repeatable internal playbooks
* reusable enrichment flows
* standardized research tasks across teams
* embedded product workflows

See [AI Agents](./ai-agents).

### Data Sources

Use Data Sources when you want a focused lookup against a specific provider or enrichment source instead of a full multi-step workflow.

Best for:

* LinkedIn profile and company lookups
* email enrichment and validation
* phone enrichment
* Crunchbase company resolution

See [Data Sources](./data-sources).

## How NeuralVerge works

Most advanced workflows in NeuralVerge are asynchronous.

1. Start a run
2. Receive a `session_id`
3. Poll the session status endpoint
4. Read the final result when processing completes

This model works well for both real-time product experiences and longer-running research jobs.

## Response model

Depending on the endpoint, results can include:

* `human` output for UI rendering or analyst review
* `machine` output for downstream automation
* execution metadata
* points or usage data
* session status information

## Typical teams using NeuralVerge

NeuralVerge is commonly used by:

* B2B SaaS products embedding research features
* compliance and risk teams
* operations and verification teams
* internal analyst platforms
* AI products that need execution and data retrieval, not just text generation

## Next steps

* Read [AI Research](./ai-research)
* Read [AI Extract](./ai-extract)
* Read [AI Agents](./ai-agents)
* Read [Data Sources](./data-sources)
* Review [Authentication](./authentication)
* Browse the **API Reference** tab