Web Agent

The Web Agent is an AI assistant built into AnomalyArmor’s Intelligence page. It has access to 30+ tools across 9 domains and can chain them together to investigate issues, set up monitoring, manage alerts, and answer questions about your data.

Getting Started

Navigate to any asset’s Intelligence tab
Click Ask Agent in the top right
Type a question or request in plain English

The agent opens as a full-screen overlay with your Intelligence page still accessible behind it.

What Makes It Powerful

The Web Agent isn’t just a chatbot. When you ask a question, it:

Reads your monitoring context: Schema drift history, freshness status, data quality metrics, tags, lineage, and alert rules for the selected asset
Chains tools automatically: A single question can trigger multiple tool calls across domains
Shows its work: Every tool call is visible with parameters and results, so you can verify what the agent is doing

Example: Diagnosing a Problem

You: Why is the orders dashboard broken?

Agent: Let me investigate...

[Tool: list_schema_changes > gold.fact_orders]
  Found: discount_pct column removed, Tuesday 4:12 PM

[Tool: check_freshness > gold.fact_orders]
  Status: FRESH (last update 12 minutes ago)

[Tool: get_lineage > gold.fact_orders]
  Upstream: staging.orders_raw
  Downstream: analytics.order_summary, reporting.daily_revenue

[Tool: list_schema_changes > staging.orders_raw]
  Found: discount_pct column removed, Tuesday 3:47 PM

The dashboard is broken because the discount_pct column was removed
from gold.fact_orders on Tuesday at 4:12 PM.

Root cause: The column was first removed from staging.orders_raw at
3:47 PM, then the ETL propagated the removal downstream.

2 views reference this column:
- analytics.order_summary
- reporting.daily_revenue

Freshness is normal, so the table is still updating. The issue is
the missing column, not stale data.

The agent called 4 tools across 3 domains (schema drift, freshness, lineage) to build a complete diagnosis from a single question.

Capabilities by Domain

Discovery

Browse your data assets without leaving the chat.

You: What tables do I have in the gold schema?

Agent: Found 12 tables in warehouse.gold:

       Fact tables:
       - gold.fact_orders (3.2M rows, fresh)
       - gold.fact_payments (1.8M rows, fresh)
       - gold.fact_refunds (245K rows, fresh)
       - gold.fact_subscriptions (450K rows, fresh)

       Dimension tables:
       - gold.dim_customer (245K rows, fresh)
       - gold.dim_product (18K rows, fresh)
       - gold.dim_geography (2.1K rows, fresh)
       ... and 5 more

Monitoring Setup

Set up freshness schedules, schema monitoring, and data quality metrics in one conversation.

You: Set up monitoring for the gold fact tables. I want hourly
     freshness checks and null_percentage metrics on any amount columns.

Agent: Done. Here's what I set up:

       Freshness schedules (4 tables):
       - gold.fact_orders: hourly, 2h SLA
       - gold.fact_payments: hourly, 2h SLA
       - gold.fact_refunds: hourly, 2h SLA
       - gold.fact_subscriptions: hourly, 2h SLA

       Data quality metrics (6 columns):
       - gold.fact_orders.order_total: null_percentage
       - gold.fact_orders.discount_amount: null_percentage
       - gold.fact_payments.amount: null_percentage
       - gold.fact_payments.fee_amount: null_percentage
       - gold.fact_refunds.refund_amount: null_percentage
       - gold.fact_subscriptions.subscription_value: null_percentage

       Want me to add alert rules for these metrics?

Alert Management

View, acknowledge, resolve, or dismiss alerts. The agent shows context from monitoring data alongside each alert.

You: What alerts fired today? Dismiss any info-level ones.

Agent: Found 5 alerts today.

       Dismissed 2 info-level alerts:
       - Schema baseline captured for gold.dim_geography
       - Freshness schedule activated for staging.email_events

       Remaining 3 alerts:
       1. [CRITICAL] Freshness SLA breach
          gold.fact_orders - 6 hours overdue (SLA: 2h)
          Upstream staging.orders_raw is also stale.

       2. [WARNING] Data quality anomaly
          gold.dim_customer.email - null rate 2.1% > 12.4%
          Gradual increase over 5 days, not a sudden spike.

       3. [WARNING] Schema drift detected
          gold.fact_orders - discount_pct column removed
          2 downstream views affected.

Data Quality

Create metrics and validity rules. The agent asks for confirmation before creating anything.

You: Add null checks on all email columns across my tables

Agent: I found email columns in 4 tables:

       - gold.dim_customer.email (current null rate: 12.4%)
       - silver.silver_customers.email_address (current: 0.4%)
       - raw.user_signups.email (current: 0.0%)
       - staging.email_events.recipient_email (current: 1.2%)

       I'll create null_percentage metrics for each. Proceed? [Yes/No]

You: Yes

Agent: Created 4 null_percentage metrics.

       Note: gold.dim_customer.email already has an elevated null rate
       (12.4%). You may want to investigate before setting alert
       thresholds, otherwise you'll get an immediate alert.

Schema Drift

Review changes, trace their origin, and understand downstream impact.

You: What schema changes happened this week? Show me the impact.

Agent: 3 schema changes detected this week:

       1. gold.fact_orders.discount_pct REMOVED (Tuesday 4:12 PM)
          Impact: 2 downstream views reference this column
          Origin: Removed from staging.orders_raw at 3:47 PM

       2. gold.dim_customer.loyalty_tier ADDED (Wednesday 9:30 AM)
          Type: VARCHAR(50)
          Impact: No downstream references yet (new column)

       3. silver.silver_products.weight REMOVED (Monday 2:15 PM)
          Impact: 1 downstream table (gold.dim_product) joins on this
          Origin: Source table raw.products no longer has this column

Tags and Classification

Apply and manage tags for organization and compliance.

You: Find all tables with email columns and tag them as PII

Agent: Found email columns in 4 tables. Applied PII tag:

       - gold.dim_customer (column: email)
       - silver.silver_customers (column: email_address)
       - raw.user_signups (column: email)
       - staging.email_events (column: recipient_email)

       These tables now appear when you ask "which tables have PII?"
       and will be flagged in compliance reports.

Sessions

Conversations are organized into sessions. Each session maintains full context, so follow-up questions work naturally.

New session: Click + in the session sidebar
Resume session: Click a previous session to continue where you left off
Pin session: Pin important sessions to the top of the list
Session history: Sidebar shows all past conversations with timestamps and message counts

Tool Visibility

As the agent works, you see each tool call in real time:

Which tool was called (e.g., list_schema_changes, check_freshness)
What parameters were passed
The result returned

For actions that modify data (creating metrics, applying tags, acknowledging alerts), the agent asks for confirmation before proceeding.

Tips

Be specific about scope: “Check freshness for the 3 gold fact tables” works better than “check everything”
Chain requests: “Find tables with spiking null rates, then show me their schema changes” works in one message
Ask diagnostic questions: “Why is X broken?” triggers cross-domain investigation, which is where the agent is strongest
Let it discover first: Say “find tables with customer data” instead of typing exact table paths
Review before acting: For bulk operations, ask “what tables match?” before “set up monitoring for all of them”

Available Tools

Domain	Count	Capabilities
Discovery	7	Browse assets, catalogs, schemas, tables, columns
Freshness	4	Check freshness, find stale tables, create schedules, get recommendations
Schema	3	List changes, view details, enable monitoring
Data Quality	3	Create metrics, list existing, view health summary
Validity	3	Create rules, list existing, view results
Alerts	4	List alerts, view details, list rules, create rules
Alert Actions	5	Acknowledge, resolve, dismiss, snooze alerts
Tags	2	List and apply tags
Health	1	Overall health summary

Common Questions

Do I need to install anything to use the Web Agent?

No. The Web Agent is built into AnomalyArmor. Open any asset’s Intelligence tab and click Ask Agent. There’s no extension, no API key, and no local setup.

Does the agent remember previous conversations?

Yes. Conversations are saved as sessions. Each session keeps full context so follow-ups work naturally, and you can pin important sessions or resume them later from the sidebar.

Will the agent change my monitoring without asking?

No. For any action that creates, modifies, or deletes configuration (metrics, rules, tags, schedules), the agent previews the plan and waits for confirmation. Read-only queries (freshness checks, lineage, alerts) run without prompting.

Why does the agent sometimes call multiple tools for one question?

The agent chains tools to answer cross-domain questions. “Why is this dashboard broken?” can trigger schema, freshness, and lineage checks in sequence. You can see each call and its result inline, which is how the agent shows its reasoning.

Next Steps

Intelligence Overview

How monitoring context powers the agent’s answers

MCP Server

Use the same tools from your IDE

Status Skill

Health monitoring details

Alerts Skill

Alert management details

API Overview

API Reference

API Guides

SDKs

CLI

Integrations

AI Agents

Getting Started

What Makes It Powerful

Example: Diagnosing a Problem

Capabilities by Domain

Discovery

Monitoring Setup

Alert Management

Data Quality

Schema Drift

Tags and Classification

Sessions

Tool Visibility

Tips

Available Tools

Common Questions

Do I need to install anything to use the Web Agent?

Does the agent remember previous conversations?

Will the agent change my monitoring without asking?

Why does the agent sometimes call multiple tools for one question?

Next Steps

Intelligence Overview

MCP Server

Status Skill

Alerts Skill

​Getting Started

​What Makes It Powerful

​Example: Diagnosing a Problem

​Capabilities by Domain

​Discovery

​Monitoring Setup

​Alert Management

​Data Quality

​Schema Drift

​Tags and Classification

​Sessions

​Tool Visibility

​Tips

​Available Tools

​Common Questions

​Do I need to install anything to use the Web Agent?

​Does the agent remember previous conversations?

​Will the agent change my monitoring without asking?

​Why does the agent sometimes call multiple tools for one question?

​Next Steps

Intelligence Overview

MCP Server

Status Skill

Alerts Skill

Getting Started

What Makes It Powerful

Example: Diagnosing a Problem

Capabilities by Domain

Discovery

Monitoring Setup

Alert Management

Data Quality

Schema Drift

Tags and Classification

Sessions

Tool Visibility

Tips

Available Tools

Common Questions

Do I need to install anything to use the Web Agent?

Does the agent remember previous conversations?

Will the agent change my monitoring without asking?

Why does the agent sometimes call multiple tools for one question?

Next Steps