Automates the end-to-end process of finding, building, verifying, and logging business emails from a Google Sheet.
The AI agent pulls leads from your Google Sheet where Status is FALSE. It queries domain email patterns using Serper.dev and OpenRouter Gemini Flash to learn the dominant format. It builds candidate emails for each contact and verifies them in real time with Prospeo or via Sparkle bulk, then writes the results back to the sheet in batch-friendly cycles.
Automatically discovers domain email patterns, constructs candidate addresses, verifies them, and updates your sheet.
Pulls lead rows from Google Sheets where Status = FALSE, preparing data for processing.
Infers the dominant email pattern for each domain by querying Serper.dev and processing results with Gemini Flash via OpenRouter.
Constructs likely first-last name emails for each contact.
Verifies addresses in real time with Prospeo or through Sparkle.io bulk verification when chosen.
Writes the pattern, generated email, confidence score, and verification status back to the sheet and marks Status = TRUE.
Loops in batches to respect API limits and maintain throughput across large lists.
This AI agent replaces fragmented manual work with a predictable execution flow.
A simple, 3-step flow that non-technical users can follow.
The AI agent reads rows from Google Sheets where Status = FALSE and prepares the dataset for processing.
It collects domain snippets via Serper.dev and OpenRouter Gemini Flash to determine the dominant email pattern, then generates candidate emails for each contact.
The agent verifies addresses with Prospeo by default or Sparkle bulk, then writes the results back to the sheet and marks Status TRUE, looping in batches.
A realistic run demonstrating time-to-value.
Scenario: A SDR team starts with 350 new leads in a Google Sheet. The AI agent pulls these rows, learns the domain email pattern from several domains, generates emails for each contact, verifies them via Prospeo, and updates the sheet with results. The batch completes in about 15–20 minutes, producing 320 verified emails with confidence scores and statuses ready for outreach.
Roles across sales, marketing, and operations that regularly source or verify emails.
Saves time identifying valid emails and speeds up cold outreach with higher deliverability.
Automates target-list enrichment and email formatting checks, enabling faster campaigns.
Finds professional emails quickly to reach candidates without manual pattern hunting.
Scale email construction and validation across large client lists with minimal effort.
Maintains a clean, verified email dataset with auditable status changes.
Quickly validates the viability of an outbound channel with clean, verified data for fast iteration.
Works with your favorite tools for data intake, pattern discovery, and verification.
Gathers domain email snippets to learn domain patterns.
Routes requests to Gemini Flash and other frontier models for pattern inference.
LLM that interprets snippets and predicts the dominant email format.
Verifies emails in real time via API to confirm deliverability.
Bulk verifier for large batches when you prefer manual upload and review.
Read and write lead rows, including Status, pattern, email, and verification results.
Practical scenarios where this AI agent shines across teams.
Common questions about setup, accuracy, and usage.
The accuracy depends on the diversity of domain snippets Serper.dev can access and the quality of your dataset. Our AI agent learns patterns across domains and updates its model as new data is processed. For domains with limited public snippets, confidence may be lower. You should expect higher accuracy after a few runs as patterns stabilize.
Batch sizes are limited by API quotas for Serper.dev, OpenRouter, and your verification provider. The AI agent processes leads in chunks and automatically pauses when quotas approach the limit, resuming when new data is available. For free tiers, expect thousands of rows per run; for larger lists, plan multi-batch runs.
Yes. The AI agent supports using Prospeo by default and can switch to Sparkle.io bulk verification. When using Sparkle, you export the generated emails to a CSV, upload for bulk validation, and re-import the verification statuses into the sheet. This allows you to scale verification without rebuilding the rest of the workflow.
The agent is designed to operate in batches, automatically spacing requests to avoid hitting rate limits. If a limit is reached, processing pauses and resumes once quotas reset. You can adjust batch size or schedule executions to align with provider quotas.
Data is read from and written to your own Google Sheet; credentials are stored securely in your environment. The agent uses API keys and tokens that you provision and rotate as needed. We recommend using scoped permissions and revoking access when the workflow is paused.
You need a Google Sheet with a Status column and your lead data, and API keys for Serper.dev and OpenRouter, plus optional credentials for Prospeo and Sparkle.io. Add the keys to the credential store, connect Google Sheets, and run the automation. The process is designed to be completed in minutes for basic setups.
Yes. You can swap the email-pattern source, enable or disable real-time verification, and extend enrichment with phone look-ups or LinkedIn scrapers. The flow is modular: you can relocate or remove nodes for pattern learning, verification, or writing results. This makes the AI agent adaptable to different lead-gen stacks.
Automates the end-to-end process of finding, building, verifying, and logging business emails from a Google Sheet.
