Apiary

Apiary

· #320 most-used

Design, document, and test every API your team builds

ProductivityDocumentsDeveloperAutomationMonitoring & Alerts

Apiary is Oracle's API-first design, documentation, and testing platform. Teams write API Blueprints in a lightweight Markdown format, publish them to a live mock server and interactive documentation portal within about a minute, and run automated test suites against production endpoints to catch regressions early. Connect Apiary to Actionist and your agents can publish blueprints on every code merge, trigger test runs after each deployment, sync documentation to your developer portal, monitor project access for compliance, and deliver weekly API health reports — without any engineer touching the Apiary dashboard.

Average time saved
8 hours
per person · per month
≈ 1 workdays back

Eliminates manual work. Agents eliminate the manual cycle of publishing blueprints, running tests, copying documentation to portals, and reviewing API access lists — work that otherwise spans multiple dashboards and drains engineering and operations time every week.

Schedule

What your Apiary agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
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Multi-app workflows

Apiary × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
7Apps spanned
~19 hrsSaved / week
5Personas served
For engineering
Featured4 apps

Blueprint published to docs portal on every merge

When a PR merges, the agent publishes the new blueprint to Apiary, waits for the mock server to refresh, pulls the updated blueprint, and syncs it to the Notion developer portal — then posts the live mock URL and docs link to Slack. The front-end team has working mocks and current docs within about a minute of the merge, not the next day.

~5 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When a pull request is merged to the main branch in GitHub
Result
Publish updated API Blueprint to Apiary projectPush blueprint Markdown to the developer portal pagePost mock server URL and docs link to #engineering
The win
Saved per run
20 min
Runs / week
~15×
Documentation is never one commit behind the API
Driven byOperations Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    20 min / week
    Manual API demo prep

    Solutions engineers check Apiary mock server status by hand before each demo, opening the dashboard to verify the blueprint is published — an easy step that gets skipped under deadline pressure.

    Sales Agent
    0 min
    Agent confirms mock availability before every demo

    The sales agent verifies mock server availability for all partner-facing projects every Monday and flags any unpublished mocks before the week's first prospect calls — no demo opens with a broken API endpoint.

  • Marketing
    30 min / week
    Developer portal falls behind the API

    A marketing writer copies updated API documentation from Apiary into the developer portal by hand — usually days after the blueprint changes, leaving prospective developers reading stale docs.

    Marketing Agent
    0 min
    Agent syncs the portal with the live blueprint weekly

    The marketing agent pulls the latest blueprint from each public Apiary project and pushes the Markdown directly into the developer portal — the portal always reflects the live API without any manual copy-paste.

  • Customer Support
    45 min / week
    Slow API error triage

    When customers report API errors, support engineers log into Apiary Inspector manually, dig through traffic logs, and copy request-response pairs into Jira tickets — a slow process that delays squad response.

    Customer Support Agent
    0 min
    Agent extracts and routes API errors from Inspector automatically

    The support agent scans API Inspector logs weekly, groups failures by endpoint, and creates structured Jira issues with request-response evidence attached — the squad has triage-ready data before customers report the same issue twice.

  • Human Resources
    25 min / week
    Stale API links in engineer onboarding packs

    HR assembles a set of Apiary documentation links for each new hire by copying from a shared doc — links that were current months ago when the doc was written, not when the engineer arrives.

    Human Resources Agent
    0 min
    Agent builds personalised onboarding packs with live API links

    For each new hire, the HR agent fetches the squad's Apiary projects, retrieves current mock server URLs, and assembles a personalised Notion onboarding page — new engineers have current, working API references from day one.

  • Finance
    15 min / week
    Seat overages discovered at invoice time

    Finance reviews Apiary seat counts manually once a month when the invoice arrives — overpaid seats or plan-tier breaches are only caught after the bill is issued, not before.

    Finance Agent
    0 min
    Agent monitors seat usage weekly and alerts before overages hit

    The finance agent fetches Apiary usage data each Tuesday, compares seat consumption against plan limits and headcount, and fires a Slack alert when the team is within five seats of the cap — procurement is triggered before the engineering team hits a wall.

  • Operations
    60 min / week
    Manual API quality reporting

    An engineering manager collects test pass rates from each squad at the weekly meeting, assembles a spreadsheet, and emails it to leadership — a 60-minute task that happens inconsistently and is always one meeting cycle behind.

    Operations Agent
    0 min
    Agent delivers a cross-team API health report every Monday

    The operations agent lists all Apiary projects, collects test run results, validates blueprints, and posts a ranked API health table to Slack every Monday morning — engineering leadership has the data before the planning meeting without anyone compiling it.

  • Legal
    10 min / week
    Access audit done quarterly at best

    Legal reviews Apiary project access lists quarterly by asking team leads to manually check their project members — a slow, unreliable process that leaves months of unchecked access between audits.

    Legal Agent
    0 min
    Agent audits project access weekly and flags exceptions the same day

    The legal agent retrieves team member lists for all Apiary projects every Tuesday, compares them against the approved-access registry, and routes any exception to the security team before end of business — access anomalies surface in days, not quarters.

+ 100s of other Apiary automations
Average time saved
21 hrs / person / month
Calculator

Calculate what your team saves

Team size
5 people
Hourly rate
$75 / hr
Hours saved / week
11
Hours saved / year
525
Annual ROI
$39,375

Based on Apiary's typical team usage — the visible tasks plus a few other automations the agent runs: ~2.1 hrs / person / week of admin work automated.

Connect

How to plug Apiary into Actionist

Pick the connection method that suits your environment.

Connect with an Apiary personal API key. Suitable for team and enterprise accounts where a service account token provides stable, long-lived access to all projects the account can see.

1
Open your Apiary account settings

Log in to apiary.io, click your avatar in the top right, and go to Account Settings → API Keys.

2
Generate an API key

Click Generate API Key, give it a descriptive name (e.g. 'Actionist'), and copy the key. Store it securely — it will not be shown again.

3
Paste the key into Actionist

Enter the key in the field below and click Test Connection. Actionist will run a read-only call to confirm access before any agent tasks run.

Credentials you'll need
API Key*
Generate in your Apiary account settings under API Keys
Actions

15 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

0 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

This app has no triggers yet.
FAQs

Questions about Apiary + Actionist

How does Actionist connect to Apiary?
Go to the Apps tab, find Apiary, and click Connect. Apiary supports multiple authentication methods — the most common for API access is Bearer token or Basic auth. Generate a personal API token in your Apiary account settings, paste it into the credential field, and Actionist runs a read-only test call to confirm the connection is live before any agent tasks execute.
What permissions does the agent need on my Apiary account?
For read operations — fetching API blueprints, reading project metadata, pulling mock server URLs — the token needs read access to your Apiary projects. For write operations — publishing API descriptions, triggering test runs, updating documentation — the token must have write scope on the relevant projects. If you are using a team plan, ensure the token belongs to a user with editor or admin rights on the projects the agent needs to touch.
Can I use Apiary with other developer tools in the same agent task?
Yes. Apiary pairs naturally with GitHub (sync blueprints on every commit), Slack (post test-failure alerts to the #eng channel), Jira or Notion (create tickets when automated tests detect regressions), and Google Sheets (track blueprint coverage metrics over time). Any of Actionist's connected apps can send or receive data alongside Apiary in the same scheduled agent task.
What are the most common things agents do with Apiary?
The four patterns that come up most often: (1) blueprint validation — running the Apiary style guide check on every blueprint commit so violations are caught before the PR is reviewed; (2) mock-server readiness check — verifying the mock server for a given project is published and returning expected responses before a front-end team starts a sprint; (3) automated test monitoring — fetching the latest test run results and routing failures to the responsible squad in Slack; (4) documentation sync — pulling the latest API description and pushing it to an internal docs portal or Notion database so non-engineering stakeholders always see current docs.
Does Actionist support Apiary's team and collaboration features?
Actionist's Apiary integration works at the project and API-description level — it can read and publish API blueprints, trigger test runs, and fetch project metadata for any project the connected token has access to. Apiary's real-time collaborative editor is a browser-based feature; Actionist complements it by automating the surrounding workflow: syncing blueprints to GitHub, notifying the team when a new version is published, and logging blueprint change history to a shared doc.
How does Actionist handle Apiary's mock server in automated tasks?
The agent can read the mock server URL for any published Apiary project and pass it downstream to test runners, CI pipelines, or front-end builds. When a blueprint is published (manually or via a scheduled agent task), the Mock Server is rebuilt automatically by Apiary — the agent can then confirm the mock is live by polling the server URL and only proceed once it returns the expected status. This eliminates the "mock not ready yet" race condition that slows sprint kick-offs.
Can the agent run Apiary's automated tests against a production API?
Apiary's Automated Testing tool runs your blueprint expectations against a real server URL. The agent can trigger a test run by calling the Apiary test endpoint with your production server URL, poll for completion, and then post the pass/fail summary to Slack, log it to Google Sheets, or create a Jira ticket for each failing test. This makes post-deployment testing a hands-free part of your release checklist rather than a manual step that gets skipped under deadline pressure.
What happens if Apiary's automated tests fail — does the agent alert someone?
Yes. The typical pattern is: the agent triggers a test run after a deployment event, waits for the result (within about a minute for most blueprints), and then routes the outcome — if all tests pass, a green status is logged; if any test fails, the agent posts the failing endpoint names and response mismatches to the squad's Slack channel and optionally creates a Jira issue with the full test report attached. The squad sees the failure before the next morning's standup rather than discovering it from a customer report.