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affaan-m/uspto-database

affaan-m

uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

New~1.5kUpdated Jul 14, 2026

USPTO Database

Use this skill when a task needs official United States patent or trademark records from USPTO systems.

When to Use

  • Searching granted patents or pre-grant publications.
  • Checking patent application status, file-wrapper data, assignments, or public prosecution history.
  • Looking up trademark status, documents, or assignment history.
  • Building reproducible prior-art, portfolio, or IP landscape research logs.
  • Comparing USPTO records with secondary tools such as Google Patents, Lens.org, Semantic Scholar, or company patent pages.

Do not use this skill to give legal advice. Treat it as a data-gathering and record-verification workflow.

Source Selection

Prefer official USPTO or USPTO-supported surfaces first:

  • Open Data Portal (ODP): current home for migrated USPTO datasets and APIs.
  • Patent File Wrapper: public patent application bibliographic data and file wrapper records.
  • PatentSearch API: PatentsView search API for granted patents and pre-grant publication datasets.
  • TSDR Data API: trademark status and document retrieval.
  • Patent and Trademark Assignment Search: ownership transfer records.
  • PTAB data in ODP: Patent Trial and Appeal Board proceedings.

Use secondary sources only as convenience indexes. When the answer matters, cross-check the official record.

Authentication and Secrets

Many USPTO API flows require an API key. Store keys in environment variables or a secret manager, never in committed files or pasted transcripts.

Common environment names:

export USPTO_API_KEY="..."
export PATENTSVIEW_API_KEY="..."

For PatentSearch, send the key with the X-Api-Key header. For TSDR, follow the current USPTO API Manager instructions and rate-limit guidance.

PatentSearch Workflow

Use PatentSearch for broad patent and pre-grant publication search when the question is about trends, inventors, assignees, classifications, dates, or portfolio slices.

Workflow:

  1. Identify the endpoint from the current PatentSearch reference or Swagger UI.
  2. Build a JSON query with explicit filters.
  3. Request only the fields needed for the analysis.
  4. Sort and paginate deterministically.
  5. Record the endpoint, query body, date, data currency note, and result count.

Python request skeleton:

import os
import requests

API_KEY = os.environ["PATENTSVIEW_API_KEY"]
BASE = "https://search.patentsview.org/api/v1"

payload = {
    "q": {
        "_and": [
            {"patent_date": {"_gte": "2024-01-01"}},
            {"assignees.assignee_organization": {"_text_any": ["Google", "Alphabet"]}},
        ]
    },
    "f": ["patent_id", "patent_title", "patent_date"],
    "s": [{"patent_date": "desc"}],
    "o": {"per_page": 100, "page": 1},
}

response = requests.post(
    f"{BASE}/patent/",
    headers={"X-Api-Key": API_KEY, "Content-Type": "application/json"},
    json=payload,
    timeout=30,
)
response.raise_for_status()
print(response.json())

Before reusing a query, verify current endpoint names, field paths, request parameters, and API-key availability in the live PatentSearch docs.

Trademark/TSDR Workflow

Use TSDR when the task needs trademark case status, documents, images, owner history, or prosecution events.

Workflow:

  1. Normalize the serial number or registration number.
  2. Check the current TSDR API instructions and required API-key header.
  3. Fetch status first, then documents only if needed.
  4. Respect the lower rate limit for PDF, ZIP, and multi-case downloads.
  5. Capture retrieval date and serial/registration identifier in the output.

For large trademark pulls, prefer documented bulk-data flows rather than screen-scraping public pages.

File Wrapper and Prosecution History

For application status, transaction history, and prosecution documents:

  • Start with ODP Patent File Wrapper search.
  • Use exact identifiers when available: application number, publication number, patent number, or party name.
  • Record whether the record is a granted patent, pre-grant publication, or pending application.
  • Cross-check document dates and status against the record detail page before citing them.

Assignment Workflow

For patent or trademark ownership:

  1. Search official assignment data by patent/application/registration number, assignor, assignee, or reel/frame when available.
  2. Record conveyance text, execution date, recordation date, and parties.
  3. Distinguish assignment records from current legal ownership conclusions.
  4. If ownership is material, flag the result for attorney or subject-matter review.

Reproducible Output

Every USPTO research pass should include a log table:

| Source | Date searched | Identifier/query | Filters | Results | Notes |
| --- | --- | --- | --- | ---: | --- |
| PatentSearch | 2026-05-11 | `assignee=Alphabet AND date>=2024` | patent endpoint | 118 | API docs checked before run |
| TSDR | 2026-05-11 | `serial=90000000` | status only | 1 | API-key flow, no document bulk pull |

For final writeups, separate:

  • official record facts
  • inferred analysis
  • secondary-source convenience matches
  • unresolved gaps or records that require legal review

Review Checklist

  • Did you use an official USPTO or USPTO-supported source first?
  • Did you verify current endpoint and field names before running code?
  • Are API keys kept out of files, shell history, and output logs?
  • Does the query log include the date searched and exact request shape?
  • Are rate limits respected?
  • Are legal conclusions avoided or explicitly escalated?
  • Are secondary sources labeled as secondary?

References

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Overall Score

87/100

Grade

A

Excellent

Safety

88

Quality

88

Clarity

85

Completeness

84

Summary

This skill provides a structured workflow for querying USPTO patent and trademark data through official APIs (PatentSearch, TSDR, Patent File Wrapper, Assignment Search). It guides agents to construct authenticated requests, respect rate limits, document queries reproducibly, and verify results against official sources before using them in analysis or reporting.

Detected Capabilities

http request (POST to PatentSearch, TSDR APIs)environment variable read (USPTO_API_KEY, PATENTSVIEW_API_KEY)file system read (no write operations)api authentication (API key header)data aggregation and logging

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

search uspto patentspatent prior art lookuptrademark tsdr checkpatent ownership assignmentpatent landscape analysisverify patent records

Risk Signals

INFO

Environment variable read for API credentials (USPTO_API_KEY, PATENTSVIEW_API_KEY)

Authentication and Secrets section, Python skeleton code
INFO

Outbound HTTPS requests to USPTO APIs (data.uspto.gov, developer.uspto.gov, search.patentsview.org)

PatentSearch Workflow, Trademark/TSDR Workflow, References section
INFO

API key documentation and best practices (store in env vars, never in committed files)

Authentication and Secrets section

Referenced Domains

External domains referenced in skill content, detected by static analysis.

data.uspto.govdeveloper.uspto.govsearch.patentsview.org

Use Cases

  • Searching USPTO patent databases for specific inventors, assignees, or classification trends
  • Checking trademark application status and retrieving prosecution history documents via TSDR API
  • Building reproducible prior-art research logs with dated queries and result auditing
  • Comparing patent ownership changes using the Patent and Trademark Assignment Search
  • Verifying patent or trademark records against secondary sources like Google Patents or Lens.org
  • Aggregating patent publication data for portfolio or landscape analysis

Quality Notes

  • Excellent scope clarity: skill explicitly states when to use (patent/trademark lookup) and when NOT to use (legal advice)
  • Strong security guidance: explicitly instructs to store API keys in environment variables, never in committed files or transcripts
  • Well-structured workflows for each data source (PatentSearch, TSDR, File Wrapper, Assignments) with step-by-step procedures
  • Reproducible output design: includes template log table and checklist to ensure queries are auditable and verifiable
  • Code example is practical and specific (Python requests skeleton with actual header and payload structure)
  • Rate-limiting and respect for API constraints are emphasized throughout
  • Clear distinction between official sources (preferred) and secondary convenience sources (cross-check required)
  • Review checklist helps agents validate their work before delivery
  • Documentation references current APIs and online resources
Model: claude-haiku-4-5-20251001Analyzed: Jul 14, 2026

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Version History

  1. v1.1

    Content updated

    ✦ AINo behavioral changes detected.

    2026-07-14

    Latest
  2. v1.0

    2026-05-15

    View This VersionInitial version

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