Delivery
How to access the Autobound Signal Database via Google Cloud Storage.
We provision read access to Google Cloud Storage (GCS) buckets. You authenticate with a service account we provide and pull data on your own schedule.
Delivery Model
Each delivery is a delta. A timestamped folder contains only the signals detected since the previous delivery — not a cumulative snapshot. To build historical coverage, union folders backwards.
Past folders can receive corrections. If we fix data for a past period, we may update that folder in place. To pick up corrections, re-read recent folders.
Bucket versions (v1, v2, v3) are schema evolutions. The underlying signal data is the same — field names, types, or structure changed between versions. Looking far enough back may require reading from an older bucket version with a different schema. We're standardizing schemas across all signal types in 2026.
Backfill folders are historical deltas. Delivered at onboarding to provide coverage for time periods before your contract started.
Available Buckets
Each signal type has its own dedicated bucket. Access each bucket directly by its URI.
Financial
| Bucket | Description |
|---|---|
gs://autobound-10k-v1/ | SEC 10-K annual filings |
gs://autobound-10q-v1/ | SEC 10-Q quarterly filings |
gs://autobound-8k/ | SEC 8-K current reports |
gs://autobound-6k-v2/ | SEC 6-K foreign company reports |
gs://autobound-20f-v2/ | SEC 20-F foreign company filings |
gs://autobound-earnings-transcripts-v2/ | Earnings call transcripts |
gs://autobound-financials/ | Financial fundamentals |
gs://autobound-sec-form-d-funding/ | SEC Form D private funding filings |
Social
| Bucket | Description |
|---|---|
gs://autobound-linkedin-post-company-v2/ | LinkedIn posts (company-level) |
gs://autobound-linkedin-post-contact-v3/ | LinkedIn posts (contact-level) |
gs://autobound-linkedin-comments-contact-v2/ | LinkedIn comments (contact-level) |
gs://autobound-reddit-company-v3/ | Reddit mentions (company-level) |
gs://autobound-reddit-company-v2/ | Reddit mentions (company-level), legacy V2 format. Replaced by V3 on Sep 23, 2026 |
gs://autobound-twitter-company-posts-v2/ | Twitter/X posts (company-level) |
gs://autobound-twitter-contact-posts-v2/ | Twitter/X posts (contact-level) |
gs://autobound-youtube-company-v2/ | YouTube activity (company-level) |
gs://autobound-youtube-contact-v2/ | YouTube activity (contact-level) |
gs://autobound-glassdoor-company-v2/ | Glassdoor company reviews |
gs://autobound-product-reviews-v2/ | Product reviews (G2) |
gs://autobound-github-v1/ | GitHub activity |
gs://autobound-hackernews/ | HackerNews mentions |
gs://autobound-podcast-company/ | Podcast appearances (company-level) |
gs://autobound-podcast-contact/ | Podcast appearances (contact-level) |
gs://autobound-conference/ | Conference speakers (contact-level) |
Workforce
| Bucket | Description |
|---|---|
gs://autobound-hiring-trends/ | Hiring trends |
gs://autobound-hiring-velocity-v1/ | Hiring velocity |
gs://autobound-work-milestones-v2/ | Work milestones (job changes, promotions) |
Market
| Bucket | Description |
|---|---|
gs://autobound-news-v4/ | News events |
gs://autobound-patents-company/ | Patent filings (company-level) |
gs://autobound-patents-contact/ | Patent filings (inventor, contact-level) |
gs://autobound-website-intelligence-v1/ | Website intelligence |
gs://autobound-seo-traffic-v2/ | SEO & website traffic |
gs://autobound-producthunt/ | ProductHunt launches |
gs://autobound-federal-contract-award/ | Federal contract awards |
gs://autobound-new-business-formation/ | New business formations |
Reference Data
| Bucket | Description |
|---|---|
gs://autobound-company-database/ | Company database |
gs://autobound-contact-database/ | Contact database |
gs://autobound-manifests/ | Data manifests |
Manifests cover most signal types today. We are adding manifests for HackerNews, ProductHunt, Federal Contract Awards, New Business Formation, Podcast, Patents and Reddit V3.
Bucket Structure
Each bucket contains timestamped folders. Each folder has two files: output.jsonl and output.parquet.
gs://autobound-news-v4/
├── 2026-08-27-09-04-12/
│ ├── output.jsonl
│ └── output.parquet
├── 2026-08-26-09-04-50/
│ ├── output.jsonl
│ └── output.parquet
└── ...
Pull from the most recent folder to get the latest data.
Authentication
- We provide you with a GCP service account JSON key file
- Authenticate:
gcloud auth login --cred-file=/path/to/key.json - Use
gcloud storageto access the buckets
Example: Listing and downloading files
# List folders in a bucket (access each bucket directly by URI)
gcloud storage ls gs://autobound-news-v4/
# Download JSONL
gcloud storage cp gs://autobound-news-v4/2026-08-27-09-04-12/output.jsonl ./
# Download Parquet
gcloud storage cp gs://autobound-news-v4/2026-08-27-09-04-12/output.parquet ./
Tip: You can discover all available signal buckets by runninggcloud storage ls --project=autobound-signal-delivery. This returns the names of all signal buckets in the project — including buckets you are not licensed for. You can browse bucket names and folder timestamps freely, but reading data inside a bucket requiresobjectVieweron that specific bucket, which is granted during onboarding. Unlicensed buckets returnAccessDeniedException: 403when you attempt to read their contents.
File Formats
Both formats contain the same data. Choose based on your pipeline.
| Format | File | Best For |
|---|---|---|
| JSONL | output.jsonl | Streaming ingestion, debugging, simple parsing |
| Parquet | output.parquet | Data warehouses, analytics, large-scale processing |
JSONL example
One signal per line:
{"signal_id":"7dfdb4b4-c0b4-4620-aca6-e7263123028e","signal_type":"news","detected_at":"2026-01-15T10:30:00Z","association":"company","company":{"name":"Acme Corp","domain":"acme.com"},"data":{"summary":"Acme Corp announces expansion into European markets...","source_url":"https://example.com/news/acme-expansion"}}Parquet schema
signal_id: STRING
signal_type: STRING
signal_subtype: STRING
detected_at: TIMESTAMP
association: STRING
company: STRUCT<name, domain, linkedin_url, industries, employee_count_low, employee_count_high, description>
contact: STRUCT<first_name, last_name, full_name, email, job_title, linkedin_url, city, state, country>
data: STRING (JSON-encoded)The data field is JSON-encoded to support varying fields across signal types.
Refresh Cadence
| Category | Signal | Frequency |
|---|---|---|
| Financial | SEC Filings (10-K, 10-Q, 8-K, 6-K) | Weekly |
| Financial | SEC 20-F Foreign Filings | Weekly |
| Financial | Earnings Transcripts | Weekly |
| Financial | Financial Fundamentals | Weekly |
| Financial | SEC Form D Funding | Daily (business days) |
| Social | LinkedIn Posts (Company) | Monthly |
| Social | LinkedIn Posts (Contact) | Bi-weekly |
| Social | LinkedIn Comments (Contact) | Monthly |
| Social | Reddit Mentions (V3) | Weekly |
| Social | Twitter/X Posts (Company) | Monthly |
| Social | Twitter/X Posts (Contact) | Monthly |
| Social | YouTube Activity (Company) | Monthly |
| Social | YouTube Activity (Contact) | Monthly |
| Social | Glassdoor Reviews | Monthly |
| Social | Product Reviews (G2) | Monthly |
| Social | GitHub Activity | Monthly |
| Social | HackerNews Mentions | Daily |
| Social | Podcast Appearances (Company) | Weekly |
| Social | Podcast Appearances (Contact) | Weekly |
| Social | Conference Speakers | Monthly |
| Workforce | Hiring Trends | Weekly |
| Workforce | Hiring Velocity | Weekly |
| Workforce | Work Milestones | Weekly |
| Market | News | Daily |
| Market | Patent Filings (Company) | Weekly |
| Market | Patent Filings (Inventor) | Weekly |
| Market | Website Intelligence | Monthly |
| Market | SEO & Traffic | Monthly |
| Market | ProductHunt Launches | Daily |
| Market | Federal Contract Awards | Daily |
| Market | New Business Formation | Weekly |
Getting Started
- Contact [email protected] to get your service account credentials
- Choose which signal types you need
- Set up authentication and start pulling data
Updated 1 day ago

