Onboarding Guide

Get up and running with Autobound Signal Data in under 30 minutes.

Welcome to Autobound Signal Data! This guide covers technical setup and working with our team.

  • Roadmap — Upcoming features & improvements
  • Changelog — Release notes & updates

Onboarding Timeline

WeekMilestone
Week 1Kickoff call, credentials delivered, Slack Connect setup
Week 2First data pull, schema review, pipeline built
Week 3-4Signals matched to your records, first users enabled
OngoingRegular check-in calls as needed

Onboarding Checklist

Team Setup

Task
☐ Join Slack Connect channel with Autobound
☐ Schedule kickoff call (30 min)
☐ Identify project team (see roles)

Technical Setup

TaskResources
☐ Receive and activate GCP credentialsSetup instructions
☐ Verify bucket accessDelivery docs
☐ Download first data fileBucket structure
☐ Parse and validate schemaSchema docs
☐ Match signals to your recordsEntity resolution

Go-Live

TaskResources
☐ Set up automated refresh pipelineDelivery docs
☐ Surface signals to end users
☐ Schedule 30-day review call

Who Should Be Involved

RoleResponsibility
Data EngineerBuild ETL pipeline, manage GCS access
Product ManagerDefine signal use cases, prioritize integration
Sales/Marketing LeadershipValidate data quality and fit for target use cases

Kickoff attendees: Data Engineer + Product Manager recommended.


Working with Autobound

Slack Connect

Your shared channel is for:

  • Quick questions (response within 4 hours)
  • Data quality issues
  • Schema clarifications

Success Sessions

30-minute check-ins, 2-3x per month for the first 1-2 months:

  • Review pipeline progress
  • Troubleshoot integration issues
  • Optimize match rates
  • Share best practices

After go-live, we move to monthly or as-needed.


Core Milestones

Week 1: Access & Kickoff

  • Kickoff call completed
  • Credentials received and tested
  • Slack Connect active

Week 2: First Data Pull

  • Downloaded data from at least one bucket
  • Validated schema fields
  • Initial pipeline created

Week 4: Review & Optimize

  • Match rate calculated
  • Signal taxonomy defined for your use case
  • 30-day review scheduled

Technical Setup Details

Authentication

# Activate service account
gcloud auth activate-service-account --key-file=~/credentials/autobound-key.json

# Verify access by downloading from one of your licensed buckets (see Delivery page for exact URIs)
gcloud storage cp gs://autobound-10k-v1/2026-01-15T00-00-00Z/output.parquet ./test-download.parquet
💡

Note: Bucket listing is not supported. Use the exact bucket URIs from the Delivery page to verify access.

Bucket Structure

Each signal type has its own dedicated bucket with timestamped folders:

gs://autobound-{signal-type}/
├── 2026-01-05T12-00-00Z/    ← Most recent
│   ├── output.jsonl
│   └── output.parquet

Always pull from the most recent folder. See Delivery docs for details.

Available Buckets

Delivery — All Bucket URIs: the complete, up-to-date list of bucket URIs, file formats, and refresh cadence.

⚠️

Important: Bucket listing is not supported. Always use the exact bucket URIs from the Delivery page to access your licensed signal types.

Download Data

# Download from a specific bucket (replace with your licensed bucket and timestamp from the Delivery page)
gcloud storage cp gs://autobound-{signal-type}-{version}/2026-01-05T12-00-00Z/output.parquet ./
💡

Tip: Your account manager will provide the specific bucket URLs and timestamps for your licensed data.

FormatBest For
JSONLStreaming, debugging
ParquetData warehouses, analytics

Schema Overview

{
  "signal_id": "uuid",
  "signal_type": "10k",
  "signal_subtype": "aiInvestment",
  "detected_at": "2026-01-05T12:00:00Z",
  "company": {
    "name": "Acme Corp",
    "domain": "acme.com"
  },
  "data": {
    "summary": "...",
    "relevance": 0.85
  }
}

Schema Overview — high-level schema structure.

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Full field reference: For complete field definitions, see the individual signal pages under Company Insights or Contact Insights.


Matching Signals

PriorityJoin Key
1stcompany.domain
2ndcompany.linkedin_url
3rdcompany.name (fuzzy)

Entity Resolution — best practices for matching.


Key Documentation

ResourceLink
Schema/docs/schema
Entity Resolution/docs/resolution
Delivery & Buckets/docs/delivery
Signal Catalog/docs/signal-catalog
Sample Files/docs/files
Status & Known Issues/docs/status
Roadmap/docs/roadmap
ChangelogChangelog

What’s Next

Learn more about our signal schema and resolution methods.

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