Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the StrikeAI API, 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%2Fstrikedm.com%2Fstrikedm" | 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%2Fstrikedm.com%2Fstrikedm" | 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 StrikeAI API.
Create lead
List leads
Get lead
Update lead
Monitor StrikeAI API operational status and events
GET STARTED
Patterns agents use StrikeAI API for, with concrete tasks.
★ Communications Operations
Use the StrikeAI API to perform communications operations programmatically. The API provides 6 endpoints covering core functionality including create lead, list leads, get lead.
Call POST /leads to create lead
Automated Leads Management
Automate leads operations by combining multiple StrikeAI API endpoints. Agents can list leads and then get lead in a single workflow.
Call GET /leads to list leads, then verify the result
AI Agent Integration via Jentic
AI agents discover and call StrikeAI API 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 apiKey tokens manually.
Search Jentic for 'create lead', load the operation schema, and execute with Jentic-managed credentials
6 endpoints — ai-driven lead response management and conversational ai platform api.
METHOD
PATH
DESCRIPTION
/leads
Create lead
/leads
List leads
/leads/{id}
Get lead
/leads/{id}
Update lead
/conversations
Create conversation
/conversations
List conversations
/leads
Create lead
/leads
List leads
/leads/{id}
Get lead
/leads/{id}
Update lead
/conversations
Create conversation
/conversations
List conversations
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the StrikeAI API by hand means sending your key in the X-API-Key header on every request and tracking lead and conversation ids yourself. Through Jentic you install once, import the StrikeAI API from the API Directory, store the key once, and your agent calls it.
Permission scoping
StrikeAI puts the lead id in the URL path (/leads/{id}), so a rule can pin your agent to one lead: it can read and update that lead and nothing else. You choose the operations it may call, so you can grant reading a lead without granting the ability to update it.
Credential isolation
Your StrikeAI API key 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 'create a lead' or 'start a conversation', and Jentic returns the matching StrikeAI 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 StrikeAI API through Jentic.
What authentication does the StrikeAI API use?
The StrikeAI API uses an API key passed in the `X-API-Key` header. 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 create lead with the StrikeAI API?
Yes. Use the POST /leads endpoint. The API returns structured JSON responses that agents can parse and act on directly.
What are the rate limits for the StrikeAI API?
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 create lead through Jentic?
Install the Jentic SDK with pip install jentic, authenticate through Jentic One, the self-hosted execution layer, then search for 'create lead'. Jentic returns the matching StrikeAI API operation with its input schema. Load the schema and execute the call - credentials are injected automatically.
How many endpoints does the StrikeAI API have?
The StrikeAI API exposes 6 endpoints covering leads, conversations operations.
Can I limit what my agent is allowed to do with the StrikeAI API?
Yes. Jentic One is self-hosted by you, so your own rules decide which StrikeAI operations and credentials the agent may use. Because StrikeAI puts the lead id in the URL path (/leads/{id}), you can pin the agent to a single lead so it can read and update that lead and nothing else. You also choose which operations it may call, granting GET /leads/{id} to read a lead while withholding PUT /leads/{id} or POST /leads so it cannot update or create.
For Agents
Programmatically create lead, list leads. Covers 6 operations with apiKey authentication.
Use for: I need to lead, I want to leads, Search for lead, Find all lead
Not supported: Does not handle payments, crm, or developer tools - use for communications only.
AI-driven lead response management and conversational AI platform API. The API exposes 6 endpoints secured with apiKey authentication.
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>