Patent Signals (Inventor)
Inventor-level US patent grants: named contacts on newly granted patents, high-confidence matches only.
Overview
Inventor-level US patent signals — one record per named inventor on a newly granted US patent.
Same weekly USPTO grant source as Patent Signals (Company), delivered
under signal_type: patents, association: contact. Only the patentGrant subtype produces
contact records (velocity, challenges, and law-firm signals are company-only). Each record carries
both the enriched contact and the assignee company, so you can act on the person and their
employer together.
High-confidence contacts onlyCommon inventor names make person resolution error-prone, so we resolve each inventor to a
LinkedIn profile and deliver only matches at confidence 9–10. Lower-confidence and
unresolved inventors are dropped, not delivered — the contact you receive is one we stand behind.
Patent signals never carryrelevance,confidence, orsentimentfields.
Available Subtypes
Subtype (signal_subtype) | Description |
|---|---|
patentGrant | A named inventor on a newly granted US patent |
Schema
Top-Level Fields
| Field | Type | Description |
|---|---|---|
signal_id | string | Stable ID (upsert on this) |
batch_id | string | Delivery batch |
signal_type | string | Always patents |
signal_subtype | string | patentGrant |
detected_at | string (ISO 8601) | When the signal was produced |
association | string | contact |
Contact Object
Enriched from Autobound's contact truth data on the resolved LinkedIn URL. Unknown → null.
| Field | Type | Description |
|---|---|---|
first_name | string | null | Enriched |
last_name | string | null | Enriched |
full_name | string | Inventor name from the grant |
email | string | null | Enriched |
job_title | string | null | Enriched |
linkedin_url | string | Resolved inventor profile (confidence 9–10) |
Company Object
The assignee company — same shape as Patent Signals (Company)
(name, domain, linkedin_url, industries[], employee_count_low/high, description).
Data Object
Prose: summary, detail, invention_explanation, technologies_mentioned[], tags[].
Grant facts: patent_number, patent_title, patent_abstract, grant_date, cpc_primary,
tech_area, uspto_assignee, source_url, event_at, event_kind (grant_date).
Inventor placement: inventor_is_primary (bool), inventor_sequence (int),
co_inventor_count (int).
Example
{
"signal_id": "9ac2…",
"batch_id": "patents-2026-09-06",
"signal_type": "patents",
"signal_subtype": "patentGrant",
"detected_at": "2026-09-06T07:03:11Z",
"association": "contact",
"contact": {
"first_name": "Dana",
"last_name": "Ng",
"full_name": "Dana Ng",
"email": null,
"job_title": "Principal Robotics Engineer",
"linkedin_url": "https://www.linkedin.com/in/dana-ng"
},
"company": {
"name": "Acme Robotics",
"domain": "acmerobotics.com",
"linkedin_url": "https://www.linkedin.com/company/acme-robotics",
"industries": ["Robotics"],
"employee_count_low": null,
"employee_count_high": null,
"description": "Autonomous warehouse robotics."
},
"data": {
"summary": "Dana Ng is a named inventor on Acme Robotics' newly granted gripper-control patent.",
"patent_number": "US11987654",
"patent_title": "Adaptive gripper control for variable-geometry payloads",
"grant_date": "2026-09-01",
"tech_area": "Robotics & Automation",
"inventor_is_primary": true,
"inventor_sequence": 1,
"co_inventor_count": 2,
"event_at": "2026-09-01",
"event_kind": "grant_date",
"source_url": "https://patents.google.com/patent/US11987654"
}
}Coverage
- Bucket:
autobound-patents-contact(mirrored to your S3 delivery bucket where configured) - Refresh: weekly (USPTO grants publish Tuesdays)
- Association: contact (inventor)
- Subtypes: 1 (
patentGrant); confidence 9–10 matches only
Updated 6 minutes ago

