Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the RESTful4Up, 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.
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%2Frestful4up.local%2Frestful4up-local" | shStep 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%2Frestful4up.local%2Frestful4up-local" | 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.
What an agent can do with RESTful4Up API.
unpack
emulationOutput
generatePartialYaraRule
applyYaraRules
Monitor RESTful4Up operational status and events
GET STARTED
Patterns agents use RESTful4Up API for, with concrete tasks.
★ Developer Tools Operations
Use the RESTful4Up to perform developer tools operations programmatically. The API provides 4 endpoints covering core functionality including unpack, emulationoutput, generatepartialyararule.
Call POST /unpack to unpack
Automated Apply Yara Rules Management
Automate apply yara rules operations by combining multiple RESTful4Up endpoints. Agents can emulationoutput and then generatepartialyararule in a single workflow.
Call POST /emulation-output to emulationoutput, then verify the result
AI Agent Integration via Jentic
AI agents discover and call RESTful4Up endpoints through Jentic without managing credentials directly. An agent searches for the required operation by intent, receives the matching endpoint schema, and executes the call with Jentic-managed authentication. This eliminates the need to read API documentation or handle none tokens manually.
Search Jentic for 'unpack', load the operation schema, and execute with Jentic-managed credentials
4 endpoints — restful api 4 unipacker.
METHOD
PATH
DESCRIPTION
/unpack
unpack
/emulation-output
emulationOutput
/generate-partial-yara-rules
generatePartialYaraRule
/apply-yara-rules
applyYaraRules
/unpack
unpack
/emulation-output
emulationOutput
/generate-partial-yara-rules
generatePartialYaraRule
/apply-yara-rules
applyYaraRules
What agents get from Jentic-routed access to this vendor.
Setup
Wiring RESTful4Up by hand means standing up its unauthenticated /v1 endpoints and orchestrating unpack, emulation, and YARA-rule calls yourself. Through Jentic you install once, import RESTful4Up from the API Directory, and your agent calls it without extra wiring.
Permission scoping
RESTful4Up takes its inputs in the request body rather than a resource id in the URL path. Limit the agent to the operations it needs, such as unpacking a sample or applying YARA rules, so it works within the operations you approve.
Credential isolation
RESTful4Up runs without a credential, and any configuration your own Jentic One instance holds is stored encrypted and injected at execution time. Nothing sensitive enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'unpack a sample' or 'apply YARA rules', and Jentic returns the matching RESTful4Up operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using RESTful4Up API through Jentic.
What authentication does the RESTful4Up use?
The RESTful4Up uses no authentication. Through Jentic, these credentials are stored encrypted in your Jentic One instance and injected at execution time, so raw secrets never enter the agent context.
Can I unpack with the RESTful4Up?
Yes. Use the POST /unpack endpoint. The API returns structured JSON responses that agents can parse and act on directly.
What are the rate limits for the RESTful4Up?
Rate limits are not specified in the OpenAPI spec. Check the vendor documentation for current limits. Through Jentic, rate limiting is handled automatically with retry logic built into the execution layer.
How do I unpack through Jentic?
Install the Jentic SDK with pip install jentic, authenticate through Jentic One, the self-hosted execution layer, then search for 'unpack'. Jentic returns the matching RESTful4Up operation with its input schema. Load the schema and execute the call - credentials are injected automatically.
How many endpoints does the RESTful4Up have?
The RESTful4Up exposes 4 endpoints covering apply yara rules, clean, emulation output operations.
Can I limit what my agent is allowed to do with the RESTful4Up API?
Yes. Jentic One is self-hosted, so you run it and your own rules decide which RESTful4Up operations and configuration the agent can use. RESTful4Up takes its inputs in the request body rather than a resource id in the path, so you scope access at the operation level: you can allow only the calls you approve, such as POST /unpack or POST /apply-yara-rules, while withholding POST /emulation-output or POST /generate-partial-yara-rules. The agent can invoke only the operations you have granted.
For Agents
Programmatically unpack, emulationoutput. Covers 4 operations.
Use for: I need to unpack, I want to emulationoutput, Search for generatepartialyararule, Find all applyyararules
Not supported: Does not handle payments, communications, or crm - use for developer tools only.
RESTful API 4 Unipacker. The API exposes 4 endpoints.
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.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
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>