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Quant Agent Shop Patent Search
x402
Quant Agent Shop Patent Search is a paid API for AI agents from quantagentshop.com, paid per call via x402, $0.0025/call, status unknown (last checked 2026-10-23).
Searches Google Patents by keyword, technology description, or assignee name and returns up to 10 structured patent results with full bibliographic metadata and PDF links.
Price / call$0.0025
Success—
StatusUnknown
How this service works
Patent search. Send keywords, a technology description or an assignee name; returns up to 10 Google Patents results with title, publication number, priority, filing, grant and publication dates, inventor, assignee, snippet and PDF link. Use for prior-art scans and competitor patent checks. Not legal advice. Typical response about 1 s. Failed calls are not charged.
Output
Returns a JSON object containing the original query, the source attribution (Google Patents via Serper), a timestamp, and an array of up to 10 patent records. Each record includes: patent title, Google Patents URL, PDF download URL, a text snippet, assignee, inventor, language, position in results, grant date, filing date, priority date, thumbnail URL, publication date, and publication number.
Example use cases
Prior art scan before filing
“Search Google Patents for anything related to 'neural network hardware accelerator inference optimization' — I need to see if there's prior art before we proceed with our patent application.”
Competitor patent portfolio check
“Find patents assigned to CATL related to lithium iron phosphate battery manufacturing — I want to understand their IP portfolio in this area.”
Technology landscape research
“Look up patents about CRISPR gene editing for sickle cell disease treatment and give me the titles, inventors, assignees, and filing dates for the top results.”
Technical details
Endpoint
POSThttps://quantagentshop.com/v1/patent-search?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quick, structured patent data from Google Patents without setting up a full Google Patents API integration. It is ideal for prior-art reconnaissance, competitor IP monitoring, and technology landscape research where you need bibliographic metadata and PDF links in a single fast call. Prefer it over raw web scraping when you need reliable structured fields (dates, assignee, inventor, publication number) rather than unstructured HTML.
Side effects
- Query too short (under 2 characters) or too long (over 400 characters) returns a validation error
- Invalid country code format (not lowercase two-letter) returns a validation error
- Invalid language code format returns a validation error
- Page number outside range 1-5 returns a validation error
- No matching patents found returns an empty results array
- Google Patents/Serper downstream outage may return a service error; failed calls are not charged
- Network timeout on unusually complex queries
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"query": "solid state battery electrolyte sulfide",
"source": "Google Patents results via Serper",
"results": [
{
"url": "https://patents.google.com/patent/US0000000B2/en",
"title": "Sulfide solid electrolyte and battery",
"pdf_url": "https://patentimages.storage.googleapis.com/example.pdf",
"snippet": "A sulfide solid electrolyte having high ionic conductivity...",
"assignee": "Example Corp",
"inventor": "A. Inventor",
"language": "en",
"position": 1,
"grant_date": "2023-05-02",
"filing_date": "2020-03-10",
"priority_date": "2019-03-12",
"thumbnail_url": null,
"publication_date": "2023-05-02",
"publication_number": "US0000000B2"
}
],
"searched_at": "2026-10-22T09:00:00+00:00"
}
}Tags
x402
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