USPTO Patent Grants Tracker

Which grants actor? This is the alerting one — scheduled runs surface only NEW grants matching your assignee/keyword watch. For the full bulk grant dataset, use USPTO Patent Grants. Track new USPTO patent grants matching your watch. Built for IP counsel, brand teams, researchers and AI agents.

📊 Sample Output

patent_id	publication_number	patent_date	assignees	patent_type	source_url
12626260	US12626260B2	2026-05-12	[{'name': 'Featurespace Ltd', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12626260
12626193	US12626193B2	2026-05-12	[{'name': 'Koninklijke Philips NV', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12626193
12620484	US12620484B2	2026-05-05	[{'name': 'Nvidia Corp', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12620484
12626155	US12626155B2	2026-05-12	[{'name': 'Capital One Services LLC', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12626155
12627814	US12627814B2	2026-05-12	[{'name': 'Intel Corp', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12627814
12625709	US12625709B2	2026-05-12	[{'name': 'Rockwell Automation Technologies Inc', 'country': 'US'}]	utility	https://patentcenter.uspto.gov/applications/12625709

Real rows from run 7hb12zY3nhpo0fp4U on build 0.0.6 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

Field	Type	Default	What it does
query	string	"machine learning"	Free-text search across patent title + abstract + claims.
assignee	string	""	Filter by patent assignee/owner organization (case-insensitive).
dateFrom	string	"2026-05-01"	Earliest patent grant date (YYYY-MM-DD).
dateTo	string	""	Latest patent grant date (YYYY-MM-DD). Leave blank for 'no upper bound'.
cpcPrefix	string	""	Optional CPC classification filter (e.g. 'G06N' for AI/ML, 'H04L' for networking, 'A61K' for pharma). Leave blank for all.
maxResults	integer	25	Hard cap on patents returned.
apiKey	string	""	Reserved for forward compatibility. The current data source (Google Patents / USPTO public records) requires no key. If you have a USPTO Open Data Portal key you may supply it her…

🧾 JSON sample record

One real record from run 7hb12zY3nhpo0fp4U (emails/phones masked, long text shortened):

{
  "patent_id": "12626260",
  "publication_number": "US12626260B2",
  "patent_title": "Training a machine learning system for transaction data processing",
  "patent_date": "2026-05-12",
  "patent_kind": "B2",
  "patent_abstract": "Abstract A method of training a supervised machine learning system to detect anomalies within transaction data is described. The method includes obtaining a training set of data samples; assigning a label indicating an absence of an anomaly to unlabelled data samples in the training set; partitioning the data of the data samples in the training set into two feature sets, a first feature set representing observable features and a second feature set representing context features; generating synthetic data samples by combining features from the two feature sets that respectively relate to two different uniquely identifiable entities; assigning a label indicating a presence of an anomaly to the synthetic data samples; augmenting the training set with the synthetic data samples; and training a supervised machine learning system with the augmented training set and the assigned labels.",
  "assignees": [
    {
      "name": "Featurespace Ltd",
      "country": "US"
    }
  ],
  "inventors": [
    {
      "first_name": "Kenny",
      "last_name": "Wong",
      "country": "US"
    },
    {
      "first_name": "David",
      "last_name": "Sutton",
      "country": "US"
    },
    {
      "first_name": "Iker",
      "last_name": "Perez",
      "country": "US"
    },
    {
      "first_name": "Alec",
      "last_name": "Barns-Graham",
      "country": "US"
    }
  ],
  "cpc_codes": [
    "G06N3/00",
    "G06N3/02",
    "G06N3/08",
    "G06N20/00",
    "G06N20/20",
    "G06N3/04",
    "G06N3/044",
    "G06N3/0442",
    "…"
  ],
  "ipc_codes": [],
  "patent_type": "utility",
  "claim_count": 11,
  "citation_count_received": 0,
  "source_url": "https://patentcenter.uspto.gov/applications/12626260",
  "scraped_at": "2026-09-25T03:23:47Z"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$0.005	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
Patent (dataset-item)	$0.1	Per-patent extracted: ID, title, assignee, inventors, CPC/IPC classification, abstract

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.1 = $10.00 plus the start fee.

🔗 Related Actors

More from the NexGenData Patents & trademarks family:

• Trademark Conflict Watch — Brand Monitoring API
• TTAB Opposition Tracker — Trademark Disputes API
• USPTO Patent Grants — Weekly Grant Data API
• USPTO Patent Search — US Prior Art via Google Patents Index
• PCT / WO Patent Search — via Google Patents Index

5 more in this family on the NexGenData Store page.

⏰ Run this as a grant watch (recommended)

Every IP registry actor is a monitoring subscription, not a one-shot lookup. Schedule a weekly sweep and catch new filings as they land:

{
  "query": "Apple Inc",
  "limit": 100
}

Weekly cron (0 8 * * 1) turns this into an always-on grant watch.

📊 What you get

Clean JSON, one record per patent (full output has 15 fields):

• assignees — Assignees
• citation_count_received — Citation count received
• claim_count — Claim count
• cpc_codes — Cpc codes
• inventors — Inventors
• ipc_codes — Ipc codes
• patent_abstract — Patent abstract
• patent_date — Patent date
• patent_id — Patent id
• patent_kind — Patent kind

Pricing: $0.10 per patent (Pay-Per-Event) — about 10 patents per $1.

🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and run USPTO new patent-grant alerts on demand.

Sample agent prompt:

Alert me weekly on new USPTO patent grants assigned to a company.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

🔗 Related IP actors

Prior-art & patent web: USPTO Patent Search, USPTO Patent Grants, WIPO PatentScope, PatentsView Inventors, FDA Orange Book

IP agent front door: Patents & Trademarks IP MCP

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Data from public intellectual-property registries.