Source
Deepline Agent
DeeplineWorkflow runpilot · inspect · write
Destination
Google Sheets
How to Use Deepline Agent Ai Inference in Deepline
Run Deepline Agent Ai Inference through Deepline, route the data quality output, and write the reviewed result into Google Sheets. The page shows which data points move, how the fields map between systems, the pilot command, guardrails, and provider docs.
Deepline Agent AI Inference API to Google Sheets workflow
Deepline Agent AI Inference API to Google Sheets is a supported Deepline workflow path. Use it when an agent needs to run Deepline Agent AI Inference API, inspect the returned fields, and write the reviewed result into Google Sheets with run history, retries, and explicit failure states.
Use when
You need Deepline Agent ai inference api reviewed before it writes into Google Sheets.
Source output
Deepline Agent ai inference api returns structured fields that Deepline records with provider attribution and row-level status.
Destination write
Google Sheets receives only reviewed rows after the pilot command succeeds.
This workflow moves data from Deepline Agent into Google Sheets with Deepline as the orchestration layer. It fits cases that need a repeatable, inspectable handoff with explicit auth, cost math, and recovery steps.
- Source app
- Deepline Agent
- Destination app
- Google Sheets
- Run time
- 3 min
- Difficulty
- beginner
- Agent surface
- Deepline CLI, API, and workflow scheduler
- Write policy
- Two-row pilot before destination writes
- Deepline Agent auth
- Handled by Deepline -- connect once in the dashboard
- Google Sheets auth
- Handled by Deepline -- connect once in the dashboard
- Deepline Agent tier
- Any plan with the required API access
- Google Sheets tier
- Any Google Workspace account
Quickstart setup
curl -fsSL "https://deepline.com/api/v2/sdk/install" | bashFields agents can extract and verify
Deepline Agent source data points
- Record identifier
- id, url, domain, email, or provider key
- Matched entity
- person, company, account, page, query, or signal
- Provider attribution
- provider, action, run_id, retrieved_at
- Review status
- accepted, rejected, needs_review
Google Sheets destination mapping
Deepline Agent Review row → Deepline normalized run output
row_id, source_key, id, url, domain, email, or provider key
Claude Code sees the review row as structured JSON, then Deepline adds provider name, action slug, run ID, retrieved timestamp, and row-level status.
Deepline normalized run output → Google Sheets Review row
source_key, summary, mapped_fields, review_status, run ID, input key, normalized output columns
Sheets are best for pilots because Claude Code can show exactly which rows changed before deployment.
Google Sheets review tab → Scheduled Deepline workflow
review status, dedupe key, rollback tag, next run window
After the two-row pilot is approved, the same mapping becomes a scheduled workflow with run history, retries, and loud failures.
- Deepline Agent account (Any plan with the required API access)
- Google Sheets account (Any Google Workspace account)
- Deepline CLI installed locally
- ~3 minutes
Step-by-step
- 01
Install Deepline
Install the Deepline CLI and register your workspace. This gives agents a tested API surface instead of a browser-only workflow.
curl -fsSL "https://deepline.com/api/v2/sdk/install" | bash - 02
Connect Deepline Agent
Connect Deepline Agent in the Deepline dashboard. Deepline stores the credential encrypted, exposes a test endpoint, and makes the action callable from the CLI or an agent. Provider reference: https://deepline.com/integrations/deeplineagent.
- 03
Connect Google Sheets
Connect Google Sheets as the destination. Use the provider page to confirm required scopes before writing data.
- 04
Run a two-row pilot
Run the smallest useful pilot first. The row range is end-exclusive, so --rows 0:2 tests exactly two rows before a larger batch. Inspect record identifier, matched entity, provider attribution plus provider attribution before writing anywhere.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=deeplineagent_ai_inference:{}' --json - 05
Deploy the reviewed prompt
After the pilot is correct, deploy the exact prompt as a Deepline workflow. The mapping from Deepline Agent to Google Sheets is preserved with run history, retries, billing visibility, and a rollback tag.
> Use Deepline Agent Ai Inference to enrich the input review row, dedupe by domain and email, write results into Google Sheets, and show me the exact rows that changed before deploying the workflow.
What this costs to run
For 1,000 leads: Pilot first; Deepline credits depend on the selected action and successful results.
Deepline reports Deepline credits and run history. Provider subscriptions or API entitlements stay in the connected provider account.
Why run it through Deepline
The workflow stays inspectable
Deepline exposes the Deepline Agent action, runs a pilot, records the output, and writes only reviewed rows to Google Sheets.
Provider docs and GTM Stack pages are linked
The workflow links the Deepline provider docs, the GTM Provider Directory profile, and related workflow pages so agents can cite the right source before they call a tool.
The same prompt can become a schedule
Once the pilot works, the prompt can run on a schedule with Deepline run history, retry behavior, and explicit failure states.
Troubleshooting
Deepline Agent returns no rows
Cause: The input filter is too narrow, credentials are missing a required scope, or the provider account tier does not expose the action.
Fix: Open the Deepline Agent integration in Deepline, run the test endpoint, and then retry the workflow on --rows 0:2 with a broader filter.
Google Sheets rejects the write
Cause: The destination field names, object IDs, campaign IDs, or permissions do not match the connected workspace.
Fix: Use the Google Sheets provider page to inspect the object schema, then map columns explicitly before running the full batch.
The workflow works once but fails on a schedule
Cause: A required ID, campaign name, or date window was hardcoded in the prompt instead of resolved during each run.
Fix: Move IDs into workflow inputs or a lookup step, and keep the scheduled prompt focused on the durable business rule.
FAQ
Can Deepline run Deepline Agent Ai Inference directly?
Yes. Deepline exposes the Deepline Agent action as an agent-callable API and CLI step, so you can run a pilot, inspect the JSON, and then deploy the same logic as a workflow.
Should I write directly to Google Sheets?
Run a two-row pilot first, inspect provider attribution and dedupe fields, then allow the workflow to write to the destination. This keeps the assertion intact without using a test hack.
How does this page help agents trust the workflow?
It puts primitives first: source provider, destination, action, pilot command, scope assumptions, troubleshooting, and links to the provider docs and related GTM Stack pages.
Keep exploring
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Snowflake → Google Sheets
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Serper → Google Sheets
Run Serper Google Maps Search through Deepline, route the SEO and AEO research output, and write the reviewed result into Google Sheets. The page shows which data points move, how the fields map between systems, the pilot command, guardrails, and provider docs.
Want this workflow pre-configured?
Run it on Deepline or fork the full skill pack on GitHub. Either way, the code is yours to read and change.