Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Markifact 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%2Fmarkifact.com%2Fmarkifact" | 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%2Fmarkifact.com%2Fmarkifact" | 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 Markifact API.
List the connection types Markifact supports, with their auth methods and the credential fields each manual type expects
Create a connection from existing credentials, verified with the provider before it is stored
Generate a shareable OAuth auth link for an OAuth-only connection type and poll whether it is pending, connected, or expired
Look up a connection by Markifact connection ID or by your own external_id using lookup_by
GET STARTED
Read the team's credit balance and page through credit charges by service_type, service_id, or user_id
Page through operation logs filtered by source_type such as agent or workflow, status, operation_id, or source_run_id
Patterns agents use Markifact API for, with concrete tasks.
★ Client onboarding agent through Jentic
An agency assistant connects each new client's accounts to the Markifact workspace. Through Jentic it lists connection types, creates an auth link tagged with the client's external_id, sends it, and polls the link's status until it is connected. The Markifact bearer token is injected by Jentic at call time, so the agent never sees it.
GET /v1/connections/types, then POST /v1/connections/auth-link with connection_type set to the chosen type, external_id 'client-42', and redirect_url 'https://agency.example.com/done', and poll GET /v1/connections/auth-links/{auth_link_id}/status until it reports connected
Connecting accounts from existing credentials
When the team already holds a provider credential, a connection can be created directly for any type whose auth_methods include manual. Markifact checks the credentials with the provider first, so a successful response means the connection works. OAuth-only types cannot be created this way and need an auth link instead.
POST /v1/connections with connection_type, name 'Client 42 account', and the credentials fields listed for that type by GET /v1/connections/types
Credit spend reporting
Teams running Markifact workflows, agents, and copilot need to see where credits go. The credit balance call returns the current balance, and the credit log lists charges newest first, filterable by service_type, service_id, user_id, and a created_after and created_before window in Unix seconds.
GET /v1/credits, then GET /v1/credits/logs with service_type 'workflow' and created_after set to seven days ago, and total the charges per service_id
Troubleshooting failed runs
When a workflow misbehaves, operation logs show what ran. Logs can be filtered by source_type, status such as error, operation_id, source_id, and source_run_id for a single workflow run, and one log can be fetched by ID for full detail.
GET /v1/logs with source_type 'workflow' and status 'error', then GET /v1/logs/{log_id} for the newest entry and summarise what failed
11 endpoints — the markifact api manages the external account connections in a markifact team workspace and reports what the team's workflows and agents have run and spent.
METHOD
PATH
DESCRIPTION
/v1/connections/types
List connection types
/v1/connections
Create a connection from credentials
/v1/connections/auth-link
Create an OAuth auth link
/v1/connections/auth-links/{auth_link_id}/status
Check auth link status
/v1/connections
List connections
/v1/credits/logs
List credit charges
/v1/logs
List operation logs
/v1/connections/types
List connection types
/v1/connections
Create a connection from credentials
/v1/connections/auth-link
Create an OAuth auth link
/v1/connections/auth-links/{auth_link_id}/status
Check auth link status
/v1/connections
List connections
/v1/credits/logs
List credit charges
/v1/logs
List operation logs
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Markifact by hand means managing its bearer token, choosing between manual credentials and OAuth auth links per connection type, and paging logs with next_cursor. Through Jentic you install once, import the Markifact API from the API Directory, store the token once, and your agent calls it.
Permission scoping
Markifact puts the connection id in the URL path (/v1/connections/{connection_id}), so a rule can limit your agent to one connection and the operations you pick for it. You choose the operations it may call, so destructive ones like connection deletion or credential-based connection creation are not included unless you add them.
Credential isolation
Your Markifact 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 'create an OAuth link to connect an account' or 'list failed workflow logs', and Jentic returns the matching Markifact 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 Markifact API through Jentic.
Is there a Markifact MCP server?
You don't need an MCP server to give your agent the Markifact API. Jentic connects it directly from the API Directory: import it, store your credential once, and your agent calls it. Connection and log operations are found by intent when needed, so no extra tool definitions sit in the agent's context.
What authentication does the Markifact API use?
Per its OpenAPI spec, the Markifact API authenticates with a bearer token in the Authorization header. 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 prompt or logs.
What is the difference between creating a connection and creating an auth link?
POST /v1/connections takes credentials you already hold and works only for connection types whose auth_methods include manual; Markifact verifies them with the provider before storing. POST /v1/connections/auth-link creates a shareable OAuth link for OAuth types, and its status endpoint reports pending, connected, or expired.
Can I limit what my agent is allowed to do with the Markifact API?
Yes. Write a rule that allows only GET /v1/logs, GET /v1/logs/{log_id}, and GET /v1/credits/logs, so a reporting agent can investigate runs and spend but cannot create or delete connections. Your own instance runs those calls.
What are the rate limits for the Markifact API?
The OpenAPI spec does not specify rate limits. Check the Markifact documentation at https://docs.markifact.com for current limits.
How do I send a client an OAuth connection link through Jentic?
Add the Markifact API to Jentic One from the directory and store your bearer token once. Your agent searches for 'create an OAuth link to connect an account', calls POST /v1/connections/auth-link with connection_type and an external_id, and later checks the link's status. To run it on your own infrastructure, install Jentic One from its GitHub repo.
For Agents
Connect external accounts to a Markifact workspace with credentials or OAuth auth links, look up and delete connections, and read credit balance, credit charges, and operation logs.
Use for: I need to connect a client's external account to our Markifact workspace, Send a client an OAuth link so they can connect their account, Check whether the auth link I sent has been connected yet, List all connections tagged with external ID client-42
Not supported: Does not build or run marketing workflows, publish ads, or send campaigns through this spec. Use for managing Markifact workspace connections, credits, and operation logs only.
The Markifact API manages the external account connections in a Markifact team workspace and reports what the team's workflows and agents have run and spent. Connections are created either from credentials you already hold, which Markifact verifies with the provider before storing, or through a shareable OAuth auth link whose status moves from pending to connected or expired. The same API returns the team's credit balance, a ledger of credit charges filterable by service_type, and operation logs filterable by source_type and status.
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>