Description

Cloud Natural Language provides named entity recognition and sentiment analysis for text.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 38% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Component	Raw	Weight	Contribution
Integration	2/10	35%	7.0
Trust	4/6	30%	20.0
Portability	3/4	20%	15.0
Security	2/4	15%	7.5

Signals that fired

Integration: Command-line interface (+1) ; SDK / developer kit (+1)
Trust: Zero data retention (yes, +2) ; No generative AI training (yes, +2)
Portability: Open standards (+1) ; Standard protocol access (+1) ; No proprietary-SDK lock-in (+1)
Security: Compliance certifications (+1) ; Access controls — RBAC / ABAC (+1)

Signals not researched

These gaps cover the fields used in the AI-native score.

Integration surfaces: llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills
Trust & data policy: Trust center, Multi-factor authentication, Hard budget caps, Sandbox environment, Data export, Data import, Documented provider swap, Open source

Trust & data policy

Zero data retention: Yes
No generative AI training: Yes
Open standards: Yes
Standard protocol access: Yes
No proprietary-SDK lock-in: Yes
Self-hostable: No

Not yet researched Trust center, Multi-factor authentication, Hard budget caps, Sandbox environment, Data export, Data import, Documented provider swap, Open source

Security & compliance

Certifications and access controls this product reports on its own pages. We confirm the vendor lists each one; for certifications we don't audit the underlying report. Part of the 15% security score.

A shared trust or security page can support several certifications. We do not require separate public report links because reports may require login, vendor approval, or a nondisclosure agreement. Ask the vendor for reports and applicable coverage before a procurement decision. These listings expose no per-claim check date; the entry's updated date does not date the supporting evidence.

Compliance certifications

SOC 2

Access controls

RBAC

What it does

Capabilities

Named entity recognition

Identify named entities and their types in unstructured text.

View 3 products
Text sentiment analysis

Analyze positive, negative or neutral sentiment in text.

View 3 products

Jobs to be done

Extract entities and sentiment from text

Identify named entities and analyze sentiment in unstructured text for an application.

View 3 products

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

Command-line interfaces

gcloud ml language

Developer kits

Cloud Natural Language Python client library
Languages: Python

Not yet researched llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Agent skills

Offers

Full pricing page

No offers recorded.

Reviews

No approved reviews yet.

RSS: approved reviews

Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

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Products from other publishers that share a job-to-be-done or category, most-shared first.

Amazon Comprehend by Amazon Web Services Unrated

Same job: Extract entities and sentiment from text (not assessed)
Azure Language in Foundry Tools by Microsoft Unrated

Same job: Extract entities and sentiment from text (not assessed)

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