Logoraisr API docs | logoraisr.com
Browse all Logoraisr APIs69
AI ReadinessAI-Aware (B+)69/100
Agent-ready OpenAPI document · curated by JenticMediaImage ProcessingapiKey10 EndpointsREST
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For Agents
Upload logo images, run processing operations such as vectorisation or cleanup, and download the resulting files via the logoraisr API.
Use for: Upload a logo image for processing, List the available image-processing processes, Create a project to vectorise this logo, Retrieve the result file for a finished project
Not supported: Does not handle logo hosting, CDN delivery, or template-based marketing image generation - use for running processes on uploaded logos and retrieving the result files only.
Jentic publishes the only available OpenAPI specification for API docs | logoraisr.com, keeping it validated and agent-ready. Logoraisr is an image-processing service that takes uploaded logos and brand assets and runs them through configurable processes such as cleanup, vectorisation, and analysis. The API exposes ten operations covering image upload, process catalogue listing, project and report creation, and retrieval of preview and result files.
Install Jentic One Beta
Connect the API docs | logoraisr.com to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the API docs | logoraisr.com, 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%2Flogoraisr.com%2Flogoraisr-api" | 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%2Flogoraisr.com%2Flogoraisr-api" | 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 API docs | logoraisr.com API.
Upload an image for processing via POST /uploads
List the available processing processes through GET /processes
Create a project that runs one of those processes on an uploaded image
Poll project status and retrieve outputs with GET /projects/{project_number}
Generate analysis reports for an uploaded image via POST /reports
Download processed result files by id through /results/{result_file_id}
Use Cases
Patterns agents use API docs | logoraisr.com API for, with concrete tasks.
★ Logo Vectorisation
Convert raster logos to clean vectors by uploading the source via POST /uploads, creating a project on POST /projects with the vectorise process, and downloading the SVG result. The async project model lets large files process without keeping the HTTP connection open.
POST /uploads with the source PNG, then POST /projects referencing the upload id and the vectorise process.
Brand Asset Cleanup Batch
Run noise removal and background cleanup across a batch of uploaded brand assets by creating one project per asset. Each project runs independently so a failure on one asset does not block the rest of the batch from completing.
For each asset, POST /uploads, then POST /projects with process='cleanup', then GET /projects/{project_number} until complete.
Logo Quality Reporting
Audit logo quality by calling POST /reports with the upload id. Reports surface issues such as low resolution or wrong colour space and are retrieved via GET /reports/{report_number} for design-team review.
POST /reports with the upload id, then GET /reports/{report_number} to read the analysis.
AI Agent Logo Pipeline via Jentic
An agent that handles design-team requests can chain the upload, project, and result endpoints to clean and return logos automatically. Jentic exposes them as MCP tools so the agent invokes the right operation by intent.
Through Jentic, search 'vectorise a logo', load logoraisr POST /uploads, then chain POST /projects and GET /projects/{project_number}.
Key Endpoints
10 endpoints — jentic publishes the only available openapi specification for api docs | logoraisr.
METHOD
PATH
DESCRIPTION
POST
/uploads
Upload a new image
GET
/processes
List available processes
POST
/projects
Create a new project
GET
/projects/{project_number}
Get project details
POST
/reports
Create an analysis report
GET
/reports/{report_number}
Get report details
GET
/results/{result_file_id}
Download a processed file
GET
/previews/{file_id}
Get a preview of an uploaded file
POST
/uploads
Upload a new image
GET
/processes
List available processes
POST
/projects
Create a new project
GET
/projects/{project_number}
Get project details
POST
/reports
Create an analysis report
GET
/reports/{report_number}
Get report details
GET
/results/{result_file_id}
Download a processed file
GET
/previews/{file_id}
Get a preview of an uploaded file
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.
A
API docs | logoraisr.com
- AI-Aware (B+)69/100
100
Foundational Compliance62
Developer Experience & Jentic Compatibility54
AI-Readiness & Agent Experience94
Agent Usability50
Security100
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
98%
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.
62
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.
47%
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.
54
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: CSignals: 4
58%
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.
56%
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.
50
Security
Trust, risk posture, and security compliance.
Grade: C-Signals: 1
50%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
100
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: A+Signals: 1
100%
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
Wiring the logoraisr API by hand means setting up its API token, attaching it to each call against api.logoraisr.com, and chaining the multipart upload, process, and result-file requests yourself. Through Jentic you install once, import logoraisr from the API Directory, store the token once, and your agent calls it.
Permission scoping
logoraisr creates projects through request bodies rather than an account id in the URL path, so scoping is by operation: limit the agent to the operations it needs, such as uploading a logo and retrieving its result files, and leave out report creation if the agent does not need it.
Credential isolation
Your logoraisr API token is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'vectorise a logo' or 'download a processed logo', and Jentic returns the matching logoraisr 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.
FAQs
Specific to using API docs | logoraisr.com API through Jentic.
Why is there no official OpenAPI spec for API docs | logoraisr.com?
Logoraisr does not publish a maintained OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call API docs | logoraisr.com 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 logoraisr API use?
Logoraisr uses a token-based API key (the `Token` security scheme) passed in the Authorization header. Through Jentic the token is held in the encrypted vault and never enters the agent's prompt.
How do I run a vectorisation pipeline?
Upload the image via POST /uploads, then POST /projects with the upload id and the vectorise process. Poll GET /projects/{project_number} until the result file id appears, then download via /results/{result_file_id}.
Can I list the available image-processing processes?
Yes. GET /processes returns the catalogue of available operations along with the identifiers you pass to POST /projects.
How do I process a logo through Jentic?
Run `pip install jentic`, search Jentic for 'process a logo image', load the logoraisr POST /uploads operation, then chain POST /projects with the upload id and process selection.
What are the rate limits for the logoraisr API?
Numeric rate limits are not declared in the spec. Treat upload and project endpoints as throttled and back off on HTTP 429 responses.
Can I limit what my agent is allowed to do with the logoraisr API?
Yes. Because logoraisr creates projects through request bodies rather than an account id in the URL path, your self-hosted Jentic One instance scopes access by operation, and your own rules decide which endpoints and credentials the agent may use. You can allow only the operations the agent needs, such as POST /uploads to upload a logo and GET /results/{result_file_id} to retrieve its output, while withholding POST /reports if report creation is not required. The agent can call only the operations you permit, so it cannot invoke anything you have not granted.
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