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For Agents
Detect and validate dataset licenses through Licensius - guess licenses in RDF or text, list known licenses, and validate ODRL policy fragments.
Use for: I need to detect the license of a dataset from its RDF metadata, Identify what license is mentioned in a block of text, List all licenses Licensius recognises, Validate an ODRL policy fragment before publishing
Not supported: Does not generate licenses, scan code dependencies for licenses, or enforce DRM - use for license detection in RDF or text and ODRL fragment validation only.
Jentic publishes the only available OpenAPI specification for Licensius, keeping it validated and agent-ready. Licensius offers licensing-related web services for the linked-data and ODRL community, exposing endpoints to list known licenses, guess the license attached to a body of RDF or free text, and validate ODRL (Open Digital Rights Language) policy fragments. The 5-endpoint surface is targeted at researchers, data publishers, and rights-management tools that need machine-readable license detection and validation.
Install Jentic One Beta
Connect the Licensius to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Licensius, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Flicensius.com%2Flicensius" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Flicensius.com%2Flicensius" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with Licensius API.
List the catalogue of known licenses recognised by Licensius via GET /license/list
Detect the license expressed in an RDF ontology or dataset using GET /license/findlicenseinrdf
Identify the license referenced in a free-text fragment with GET /license/findlicenseintxt
Validate an ODRL policy fragment against the standard schema through GET /odrl/validate
Verify connectivity and version with the GET /test endpoint
Use Cases
Patterns agents use Licensius API for, with concrete tasks.
★ Open-data license auto-detection
An open-data portal harvests datasets from many sources and needs to record which license each one uses. The portal feeds dataset metadata to GET /license/findlicenseinrdf for RDF/Turtle blobs and GET /license/findlicenseintxt for plain-text descriptions, then writes the detected license back to the catalogue. This converts inconsistent free-text license fields into a normalised, machine-readable identifier.
Pass the RDF metadata of a dataset to GET /license/findlicenseinrdf and store the returned license URI in the catalogue's 'license' field.
ODRL policy validation
A rights-management workflow generates ODRL policy fragments to express usage rights on digital assets. Before saving or publishing each policy, the workflow calls GET /odrl/validate to confirm the fragment conforms to the ODRL schema. This catches malformed permissions or prohibitions early, preventing downstream consumers from encountering invalid rights expressions.
Send a candidate ODRL fragment to GET /odrl/validate and reject the publish action if validation fails.
License harmonisation in research datasets
A research data lake contains datasets with inconsistent license labels. The team enumerates licenses through GET /license/list, runs each dataset's text or RDF through the appropriate find-license endpoint, and re-tags the dataset with the canonical license identifier returned by Licensius. Over time this harmonises licensing metadata across the lake.
Iterate every dataset, call GET /license/findlicenseintxt or /license/findlicenseinrdf, and update the dataset record with the canonical license URI.
AI agent license compliance via Jentic
An AI compliance agent reviews incoming dataset contributions for licensing issues. Through Jentic the agent searches for 'detect dataset license' or 'validate ODRL policy', loads the matching Licensius operation, and executes against the public endpoint. The agent flags datasets with missing or non-permissive licenses for human review before they enter the data product.
Use Jentic to search 'detect license in text', load GET /license/findlicenseintxt, and report back which datasets in a batch lack a recognisable open license.
Key Endpoints
5 endpoints — jentic publishes the only available openapi specification for licensius, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
GET
/license/list
List known licenses.
GET
/license/findlicenseinrdf
Detect license in an RDF dataset.
GET
/license/findlicenseintxt
Detect license in a text fragment.
GET
/odrl/validate
Validate an ODRL fragment.
GET
/test
Connectivity test.
GET
/license/list
List known licenses.
GET
/license/findlicenseinrdf
Detect license in an RDF dataset.
GET
/license/findlicenseintxt
Detect license in a text fragment.
GET
/odrl/validate
Validate an ODRL fragment.
GET
/test
Connectivity test.
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
L
Licensius
- AI-Aware (B+)69/100
100
Foundational Compliance60
Developer Experience & Jentic Compatibility50
AI-Readiness & Agent Experience94
Agent Usability100
Security60
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
100
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: A+Signals: 4
99%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
100%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
100%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
60
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: B-Signals: 4
0%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
40%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
50
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: C-Signals: 4
50%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
100%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
50%
Summary Coverage
Coverage of summaries across operations/tags/info.
94
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: A+Signals: 1
94%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
100
Security
Trust, risk posture, and security compliance.
Grade: A+Signals: 1
100%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
60
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: B-Signals: 1
60%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
The Licensius API needs no authentication, so wiring it by hand still means learning which endpoints detect a license in RDF or text and which validate an ODRL fragment, and calling licensius.com/api yourself. Through Jentic you install once, import Licensius from the API Directory, and your agent calls it, with requests flowing through one controlled execution layer that keeps an audit trail even on this public endpoint.
Permission scoping
Licensius is read-only license detection and ODRL validation with no resource id in the path, so scope the agent to the operations it needs, such as detecting a license or validating a policy. You leave out any operation you do not want it to run, so it only calls the ones you allow.
Credential isolation
Licensius requires no authentication, so there is no secret to store, and requests still run through your own Jentic One instance, which keeps them out of the agent's prompt, logs, and context. This gives you an audit trail even on a public endpoint.
Intent-based discovery
Agents search Jentic by intent such as 'detect a dataset license' or 'validate an ODRL policy', and Jentic returns the matching Licensius operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
Alternative
Snyk API
Vulnerability and license scanner for software dependencies, focused on package ecosystems rather than RDF datasets.
Choose Snyk when the goal is auditing the licenses of code dependencies in package manifests; choose Licensius for RDF and ODRL data licensing.
FAQs
Specific to using Licensius API through Jentic.
Why is there no official OpenAPI spec for Licensius?
Licensius does not publish a maintained OpenAPI specification on its own domain. Jentic generates and maintains this spec so that AI agents and developers can call Licensius via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.
What authentication does the Licensius API use?
The Licensius spec does not declare an authentication scheme - the endpoints are exposed publicly at http://licensius.com/api. Even so, when calling through Jentic the request goes through the platform's controlled execution layer rather than being made from arbitrary agent code, which keeps usage observable.
Can I detect the license of an RDF dataset with this API?
Yes. GET /license/findlicenseinrdf accepts an RDF ontology or dataset and returns the license it can identify. For free-text descriptions, use GET /license/findlicenseintxt instead. Both return a canonical license identifier when one is recognised.
What are the rate limits for the Licensius API?
Licensius does not publish a rate-limit value in the OpenAPI spec or on the project site. Treat it as a research-grade public service: keep request volume modest, cache the result of /license/list locally, and back off if the endpoint returns 5xx errors during heavy use.
How do I validate an ODRL fragment through Jentic?
Install with 'pip install jentic', search for 'validate an ODRL policy', and Jentic returns GET /odrl/validate. Load the operation, supply the ODRL fragment as the input parameter, and execute. The response indicates whether the fragment is well-formed.
Can I limit what my agent is allowed to do with the Licensius API?
Yes. Because you run Jentic One yourself, your own rules decide which Licensius operations your agent may call, and it can invoke only the ones you allow. Since Licensius is read-only license detection and ODRL validation with no resource id in the path, you can grant just the operations the agent needs, such as GET /license/findlicenseinrdf and GET /license/findlicenseintxt for detection or GET /odrl/validate for policy checks. Any operation you leave out, the agent cannot run.
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