AI native · CLOUD COST ANALYTICS

Your cloud bill.
Ready for better questions.

AI native cloud cost analytics for AWS, Azure, and Google Cloud. Explore twelve dashboard examples per provider, investigate cost drivers, and bring billing context into your workbook.

See a cloud cost demo Explore 12 dashboards

Requires a supported billing export and authorized cloud access. Source query and storage charges may apply.

Cloud cost intelligence

See the signal.
Know what to ask next.

A spike. A missing owner. A growing workload.
Explore the dashboards that turn cloud bills
into better questions and clearer next steps.

tableArth / cloud intelligence
Interactive example
aws

AWS Billing / Spend & anomalies

Know where every dollar goes.

01 – 30 Sep 2026
Month-to-date spend $64,800
11.1% above baseline
Budget remaining $5,200
of $70,000 monthly budget
Highest-spend day $4,320
22 September

Daily spend. One spike stands out.

USD · September 2026

$0 $1.2k $2.5k $3.8k $5k 22 Sep · $4,320 September 1: $2,069 September 2: $2,115 September 3: $2,081 September 4: $2,110 September 5: $2,253 September 6: $2,405 September 7: $2,413 September 8: $2,246 September 9: $2,029 September 10: $1,914 September 11: $1,926 September 12: $1,944 September 13: $1,849 September 14: $1,664 September 15: $1,538 September 16: $1,592 September 17: $1,786 September 18: $1,965 September 19: $2,019 September 20: $1,999 September 21: $2,044 September 22: $4,320 September 23: $2,444 September 24: $2,542 September 25: $2,457 September 26: $2,291 September 27: $2,195 September 28: $2,214 September 29: $2,238 September 30: $2,138 1 Sep 7 Sep 14 Sep 21 Sep 30 Sep
Daily spend Illustrative baseline

What’s driving the bill?

Share of monthly cost

EC2: $32,400 RDS: $15,552 S3: $9,720 Other: $7,128
$64.8k Total spend
EC2 50%
RDS 24%
S3 15%
Other 11%
Spend signal

A $4,320 day deserves a second look.

Daily spend is 150% above the $1,728 reference. Start with the services behind the increase.

tableArth / cloud intelligence
Interactive example
AZ

Azure Billing / Allocation & accountability

Give every cost an owner.

01 – 30 Sep 2026
Monthly billed cost $48,200
Across 4 allocation groups
Allocated spend $41,452
86% assigned to an owner
Ownership gap $6,748
14% of total monthly spend

Your cloud bill, by team.

Illustrative allocation using owner tags

Core platform $18,316 38% of spend
Data & AI $13,014 27% of spend
Customer apps $10,122 21% of spend
Unallocated $6,748 14% of spend

Area represents each team’s share of total billed cost.

Ownership coverage

Billed cost with an owner assigned

86%

Spend with an owner

$6,748 still needs an owner
Allocation signal

Find the owner of $6,748.

Review unallocated costs before the next budget conversation. Start with missing or inconsistent owner tags.

tableArth / cloud intelligence
Interactive example
GC

Google Cloud Billing / Services & project hotspots

Make your next investigation count.

01 – 30 Sep 2026
Monthly usage cost $36,900
Services & project costs
Largest service $14,760
BigQuery · 40% of the bill
Top project $14,760
analytics-prod

Start with the biggest cost driver.

Usage cost by service · USD

$14,760
BigQuery
$11,070
Compute
$7,380
Storage
$3,690
Other
September spend Illustrative baseline

Where is the spend landing?

Usage cost by project

analytics-prod $14,760
customer-app $9,963
data-platform $7,380
Other projects $4,797
Cost driver signal

BigQuery accounts for 40% of the bill.

Compare BigQuery costs by SKU and project, then review the workloads driving the largest charges.

01 / 03 Scroll or swipe to explore

Explore 12 dashboards per connector

AWS dashboard, 1 of 3.

From insight to investigation

Follow the spike back to its source.
AI native analytics · Dashboard library

One connection.
Twelve ways to see more.

Start with a business question.
Open a dashboard. See the value in your data.

12 dashboards
01–06 / 12

Illustrative dashboards using fictional September 2026 data. Available analyses depend on the fields in your source.

FinOps01 / 12

Cloud cost overview

Billed cost$94KSeptember 2026 · Sample

Start your cost review with the biggest service drivers.

Explore dashboard
Ownership02 / 12

Account allocation

Allocated cost$72.2KSeptember 2026 · Sample

Bring account-level costs into ownership reviews.

Explore dashboard
Infrastructure03 / 12

Regional footprint

Regional cost$73.4KSeptember 2026 · Sample

Understand your infrastructure cost footprint.

Explore dashboard
Ownership04 / 12

Team chargeback

Team cost$79.4KSeptember 2026 · Sample

Find ownership gaps before chargeback discussions.

Explore dashboard
Infrastructure05 / 12

Compute costs

Compute cost$48KSeptember 2026 · Sample

Choose the workloads to review for efficiency.

Explore dashboard
Infrastructure06 / 12

Storage costs

Storage cost$20.4KSeptember 2026 · Sample

Guide a closer review of storage usage and retention.

Explore dashboard
Data platforms07 / 12

Database costs

Database cost$29.6KSeptember 2026 · Sample

Focus database cost reviews on the largest services.

Explore dashboard
Infrastructure08 / 12

Network charges

Network cost$14.6KSeptember 2026 · Sample

Identify network charges to investigate with engineering.

Explore dashboard
Ownership09 / 12

Environment costs

Environment cost$69.5KSeptember 2026 · Sample

Make environment spending visible to each team.

Explore dashboard
FinOps10 / 12

SKU cost drivers

Usage cost$94.9KSeptember 2026 · Sample

Move from a high-level bill to a specific cost investigation.

Explore dashboard
FinOps11 / 12

Daily spend signals

Daily billed cost$90.9KSeptember 2026 · Sample

Spot dates worth a deeper billing investigation.

Explore dashboard
Ownership12 / 12

Cost center review

Cost-center spend$83KSeptember 2026 · Sample

Bring a consistent cost-center view to budget reviews.

Explore dashboard
Every preview opens a full dashboardTake the question into your AI tools

tableArth.ai / dashboard example
Fictional sample data

Start the conversation

The business value

Data you’ll need

· Illustrative analysis; no account connected.

About this connector ↗
Explore this with your dataUse workbooks with MCP Preview ↗
THREE CLOUDS. CLEARER QUESTIONS.

Start with the bill you already have.

AWS Billing

Read CUR 2.0 Parquet exports from S3. Connect with an IAM role and external ID, or supported access-key credentials.

Azure Billing

Read Cost Management FOCUS Parquet exports from Azure Blob Storage with a restricted Read/List SAS token.

Google Cloud Billing

Read standard or detailed native billing exports from BigQuery using an authorized service account.

FROM EXPORT TO INSIGHT

Cloud spend,
with more context.

Billing workbooks analyze imported data. They do not change cloud resources, resize infrastructure, or reconcile every figure to an invoice automatically.

  1. Connect your billing export

    Select the supported export location and grant the connector the required read access.

  2. Choose the reporting window

    Import the supported history window and refresh daily or manually. Source export availability determines what can be analyzed.

  3. Explore costs and starter dashboards

    Review cost trends and available dimensions. Ask follow-up questions and save the views that help your team.

A little more clarity

Good questions.
Straight answers.

Is this a live cloud monitoring tool?

Billing workbooks use exported billing data refreshed manually or on a schedule. They are not live infrastructure monitoring.

Can I combine costs in different currencies?

Keep currencies separate unless you explicitly provide an exchange-rate conversion. Different billing measures and summary/detail tables should not be added together as if they were independent costs.

What happens if an import fails?

The connector is designed to preserve the last successful snapshot if a provider request or an incomplete delivery fails validation. Review source status before relying on a refreshed period.

AI native by design · MCP preview

Your data.
Your AI workspace.

Keep the conversation where you work. MCP brings authorized tableArth workbooks into compatible clients such as Claude, ChatGPT, and Cursor.

From Tally and spreadsheets to databases, cloud bills, and ad reports: connect the source once, then explore its workbook context through the tools you choose.

Ask your dataExplore dashboardsCreate new views
Explore MCP access

Staged preview. Availability depends on your client, deployment, and plan. Creating or updating dashboards requires write permission.

One workbook. More ways to work.MCP
Your connected dataOne authorized workbook
You control access
Imagine asking in ClaudeExample

“Explore my workbook, explain what changed, and help me build a dashboard for the next review.”

Workbook context → governed analysis → a dashboard you can return to.

Selected workbooks · Revocable accessDiscuss Claude setup ↗
AI native starts with your data

Your data. Your questions. More possibilities.

Connect a source, explore twelve dashboard examples, and see how an AI native workspace fits the way your team works.

Get a demoExplore connectors