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For Agents
Run ML-based diploma fraud detection: create a check on a document, read its status and tampering heatmap, or run a quick AI authenticity check. Covers 94 operations across checks, verification requests, and billing.
Use for: Create a check to verify a diploma's authenticity, Get the status of a diploma fraud check, Retrieve the tampering heatmap for a check, Run a quick AI authenticity check on a document
Not supported: Does not handle background checks, employment history, or identity-document issuance. Use for diploma and academic-credential fraud detection only.
The EduChecker API detects diploma and academic-credential fraud using machine-learning models. Agents create a check on an uploaded document, poll its status, and retrieve a heatmap that highlights suspected tampering, or run a quick AI authenticity check without persisting the document. Institution-based verification requests can be submitted against a country's issuing bodies, and results exported once complete. Authentication uses a bearer token, and the API also covers billing, credits, accounts, and notifications around the verification workflow.
Install Jentic One Beta
Connect the EduChecker to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the EduChecker, 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%2Feduchecker.io%2Feduchecker" | 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%2Feduchecker.io%2Feduchecker" | 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 EduChecker API.
Create a check that runs ML fraud detection on an uploaded diploma
Retrieve a check's status and a heatmap highlighting suspected tampering
Run a quick AI authenticity check without persisting the document
Submit institution-based verification requests against a country's issuing bodies
Export a check's data and retrieve the original document file
Retry, unlock, or permanently delete a check
Use Cases
Patterns agents use EduChecker API for, with concrete tasks.
★ AI Agent Credential Verification
Let an AI agent screen submitted diplomas for fraud as part of a hiring or admissions workflow: it creates a check on the uploaded document, polls the status until the ML models finish, and retrieves the heatmap that marks suspected tampering. Through Jentic the agent discovers the right EduChecker operation by intent and calls it with the check id, so verification runs without a developer wiring the create-and-poll flow by hand.
Create a check for an uploaded diploma, poll its status until complete, then retrieve the fraud-detection heatmap
Quick Authenticity Screening
High-volume reviewers want a fast first pass before committing to a full persisted check. The quick AI check operation screens a diploma image for signs of tampering and returns a result without storing the document. An agent uses it to triage obvious fakes and only escalates borderline cases to a full check.
Run a quick AI check on a diploma image to screen for tampering before creating a persisted check
Institution-Based Verification
Some credentials need confirmation directly from the issuing institution rather than ML alone. The API lists the institutions and verification channels available for a country, submits a verification request against the issuing body, and tracks the request to completion. This routes a credential to an authoritative source when document analysis is not enough.
List the institutions for a country, submit a verification request against the issuing institution, then poll the request status
Bulk Check Management
Teams processing many credentials manage checks in batches and keep records only as long as needed. The API lists a user's checks, exports data for completed ones, and bulk-deletes checks that are no longer required. An agent uses this to reconcile a backlog and enforce a retention policy.
List a user's checks, export the data for completed ones, then bulk-delete the checks that are no longer needed
Key Endpoints
94 endpoints — the educhecker api detects diploma and academic-credential fraud using machine-learning models.
METHOD
PATH
DESCRIPTION
POST
/api/checks/
Create a diploma check
GET
/api/checks/{check_id}
Get a check's status
GET
/api/checks/{check_id}/heatmap
Get a check's tampering heatmap
POST
/api/ai/quick
Run a quick AI authenticity check
POST
/api/verification/requests
Create an institution verification request
GET
/api/verification/institutions
List institutions for verification
GET
/api/checks/{check_id}/document
Get the original document file
GET
/api/checks/{check_id}/export
Export a check's data
POST
/api/checks/
Create a diploma check
GET
/api/checks/{check_id}
Get a check's status
GET
/api/checks/{check_id}/heatmap
Get a check's tampering heatmap
POST
/api/ai/quick
Run a quick AI authenticity check
POST
/api/verification/requests
Create an institution verification request
GET
/api/verification/institutions
List institutions for verification
GET
/api/checks/{check_id}/document
Get the original document file
GET
/api/checks/{check_id}/export
Export a check's data
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.
E
EduChecker
- Foundational (C+)58/100
53
Foundational Compliance61
Developer Experience & Jentic Compatibility44
AI-Readiness & Agent Experience86
Agent Usability60
Security71
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.2
Show dimension breakdown
53
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: CSignals: 4
92%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
0%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
21%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
61
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.
45%
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.
44
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: DSignals: 4
24%
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.
52%
Summary Coverage
Coverage of summaries across operations/tags/info.
86
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: ASignals: 1
86%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
60
Security
Trust, risk posture, and security compliance.
Grade: B-Signals: 1
60%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
71
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: A-Signals: 1
71%
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 EduChecker by hand means handling its bearer-token auth, the create-check-then-poll-status verification flow, and its billing and credit model before a check runs. Through Jentic you install once, import EduChecker from the API Directory, store the token once, and your agent calls it.
Permission scoping
EduChecker puts the check id in the URL path (/api/checks/{check_id}), so a rule can pin your agent to specific checks and the operations you pick. You choose the operations it may call, so creating checks and reading their status can be allowed while destructive ones like permanently deleting a check or bulk-deleting checks are not included unless you add them.
Credential isolation
Your EduChecker 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 'verify a diploma' or 'run a fraud check', and Jentic returns the matching EduChecker 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 EduChecker API through Jentic.
What authentication does the EduChecker API use?
The EduChecker API authenticates with a bearer token per its OpenAPI spec, obtained by registering and logging in through its auth operations, including Google sign-in. Through Jentic the token is stored encrypted by your own Jentic One instance and injected at call time, so it never enters the agent's context.
Can I detect diploma fraud with the EduChecker API?
Yes. The create-check operation runs ML fraud detection on an uploaded diploma, and you poll the check status and retrieve a heatmap that highlights suspected tampering. A quick AI check operation screens a document for authenticity without persisting it.
What are the rate limits for the EduChecker API?
The OpenAPI spec does not specify rate limits; see https://educhecker.io for current limits. Checks are also governed by your credit and subscription balance, which you can read with the credits and usage operations.
Is there an EduChecker MCP server?
You don't need an MCP server to give your agent the EduChecker API. Jentic connects it directly from the API Directory: import it, store your token once, and your agent calls operations like creating a check or reading its heatmap. Operations are discovered on demand, so no extra server's tool definitions sit in your agent's context.
Can I limit what my agent is allowed to do with the EduChecker API?
Yes. Write a rule that allows only creating checks and reading their status and heatmaps, so the agent can submit documents and read results but cannot permanently delete checks or bulk-delete them. Because EduChecker addresses each check by id in the URL path, a rule can also pin the agent to specific checks, and every call is logged.
How do I verify a diploma with the EduChecker API through Jentic?
Search Jentic for 'verify a diploma for fraud' to find the create-check operation, upload the document, poll the check status, then read the fraud-detection heatmap. To run it on your own infrastructure, install Jentic One from its GitHub repo.
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