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Google Workspace

Give your agents full access to Google Sheets.

Agents read ranges, write rows, reshape tabs, and turn a spreadsheet into the place your numbers land. Because each agent has a real computer, it can pull from a database, run the analysis in code, and write the finished table.

5,000 free credits to start.

Agent reach

Google Sheets API v4

The full surface, searched at run time.

Connect with

  • Helios OAuth app
  • Your own OAuth app

Event triggers

Not yet

Manual, schedule, and signed webhook are available.

What the agent can do

What agents do with Google Sheets

Helios searches the Google Sheets API v4 at run time. The agent finds the endpoint the task needs and calls it.

  • Search the Sheets API surface at run time and call any endpoint your scopes allow.
  • Read ranges and whole sheets, with formulas or evaluated values.
  • Append rows, update ranges, and create or rename tabs.
  • Apply formatting, freeze headers, and add conditional formatting rules.
  • Combine with database access to move query results straight into a sheet.
  • Run analysis as code in the sandbox before writing results.

Examples

Tasks you can hand to a Google Sheets agent

Keep a KPI sheet current

Every morning the agent queries your warehouse, computes the metrics your team argues about, and writes them into the sheet leadership already opens.

Daily at 6:00am

Each morning, refresh the KPI tab from the warehouse.

  1. postgres·query signups, activation, revenue
  2. code·compute 7-day and 28-day trends
  3. google-sheets·write KPI tab and refresh charts

KPI sheet updated

  • Signups 1,204 · up 8% week over week
  • Activation 41% · flat
  • Net revenue retention 112%

Clean a messy import

Point the agent at a tab of raw rows. It normalizes formats, deduplicates, flags what looks wrong, and writes a clean sheet next to it.

Clean the `Raw Leads` tab: normalize names, dedupe, and flag bad emails.

  1. google-sheets·read `Raw Leads` (2,140 rows)
  2. code·normalize, dedupe, validate emails
  3. google-sheets·write `Clean Leads` tab

2,140 rows in, 1,876 out

  • 211 duplicates merged
  • 53 invalid emails moved to a review tab
  • Company names title-cased and trimmed

Turn a sheet into a work queue

The agent reads rows marked ready, does the work each row describes, and writes the outcome back into the row it came from.

Hourly

For each row marked `ready`, enrich the company and write the result back.

  1. google-sheets·read rows where status = ready
  2. apollo·enrich 24 companies
  3. google-sheets·write results and set status = done

24 rows processed

  • Headcount, industry, and funding filled in
  • 3 rows marked `no-match` for a human

Reconcile two sources of truth

The agent pulls both sides, diffs them, and writes a reconciliation tab that shows exactly where the numbers disagree.

Monthly on the 1st

Reconcile Stripe revenue against the finance sheet and show me the gaps.

  1. stripe·list charges for last month
  2. google-sheets·read `Finance · March`
  3. code·diff by invoice id
  4. google-sheets·write `Reconciliation` tab

4 discrepancies found

  • $1,240 in refunds missing from the sheet
  • 2 invoices recorded twice
  • Everything else matches to the cent

Triggers

How a Google Sheets workflow starts

Google Sheets does not emit event triggers yet. Workflows that use it start by hand, on a schedule, or from a signed webhook.

Manual

Run it from the app with an optional JSON payload. Every workflow supports this.

Schedule

A cron expression or a plain sentence such as every weekday at 9am. Times are UTC.

Signed webhook

A public URL per workflow. Requests are signed with HMAC-SHA256 and expire after five minutes.

Works with

Google Sheets works with the rest of your stack

One agent, one run, several services. It reads from one tool and writes to the next in the same sandbox.

FAQ

Questions, answered

Put an agent on Google Sheets.

Connect it once and describe the task in chat. Then reuse the prompt as a workflow on a schedule or a webhook.