Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Goosy Bear 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%2Fgoosybear.ai%2Fgoosybear" | 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%2Fgoosybear.ai%2Fgoosybear" | 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 Goosy Bear API.
Generate branded images and iterate on them against saved brand styles
Draft social post pieces, elect platforms, and set a publishing schedule
Plan, draft, and launch-check ad campaigns and build audiences
Build and publish landing pages, then roll back to earlier checkpoints
Compose email sequences, templates, and campaigns
GET STARTED
Query performance metrics and run keyword or SEO research
Patterns agents use Goosy Bear API for, with concrete tasks.
★ Agent-run marketing workspace
An AI agent can run a marketing workspace end to end through Goosy Bear: drafting social posts, generating branded images, building landing pages, and composing email sequences from one credential. Each operation resolves the caller's own permissions on every request, so an agent only touches what its key allows. This makes Goosy Bear a natural fit for an autonomous content pipeline connected through Jentic.
Draft three social post pieces for a product launch, generate a branded image for each, and set a publishing schedule across the elected platforms
Branded image generation
Marketing teams need on-brand visuals fast. Goosy Bear generates images and iterates on them against saved brand styles and brand-kit elements, so creatives stay consistent without a designer in the loop. Generated images can be saved to the library and attached to boards or pages.
Generate a branded hero image from a prompt, iterate once to match the saved brand style, and save it to the library
Ad campaign planning and launch checks
Goosy Bear plans ad campaigns, drafts creatives, builds audiences and lookalikes, and runs a launch check before a campaign goes live. An agent can assemble the plan, submit it for approval, and verify the launch-check result, keeping spend decisions reviewable.
Plan an ad campaign, build a lookalike audience, attach it, and run the launch check to confirm the campaign is ready
316 endpoints — the goosy bear api drafts social posts, generates branded images, builds landing pages, plans ad campaigns, and composes email sequences from a single marketing workspace.
METHOD
PATH
DESCRIPTION
/api/v1/tools/content.create_request
Request a new content piece
/api/v1/tools/posts.create_pieces
Draft social post pieces
/api/v1/tools/images.generate
Generate a branded image
/api/v1/tools/page.create
Create a landing page
/api/v1/tools/ads.plan
Plan an ad campaign
/api/v1/tools/email_sequence.create
Create an email sequence
/api/v1/tools/analytics.query_metrics
Query performance metrics
/api/v1/tools/content.create_request
Request a new content piece
/api/v1/tools/posts.create_pieces
Draft social post pieces
/api/v1/tools/images.generate
Generate a branded image
/api/v1/tools/page.create
Create a landing page
/api/v1/tools/ads.plan
Plan an ad campaign
/api/v1/tools/email_sequence.create
Create an email sequence
/api/v1/tools/analytics.query_metrics
Query performance metrics
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Goosy Bear by hand means handling its Bearer API key, the beta Deprecation and Sunset headers, and per-tool permission resolution yourself. Through Jentic you install once, import Goosy Bear from the API Directory, store the token once, and your agent calls it.
Permission scoping
Goosy Bear carries the target site, post, or campaign inside the request body, so a rule bounds which operations your agent may call rather than which record. You choose the operations it may call, so destructive ones like page archive or key rotation are not included unless you add them.
Credential isolation
Your Goosy Bear 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 'draft a social post' or 'generate a branded image', and Jentic returns the matching Goosy Bear operation with its input schema so the agent calls the right tool without reading the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using Goosy Bear API through Jentic.
What authentication does the Goosy Bear API use?
Goosy Bear authenticates with a Bearer API key sent in the Authorization header, per its OpenAPI spec, and each key carries its holder's own permissions, resolved on every call. Through Jentic the key is stored encrypted by your own Jentic One instance and injected at execution time, so it never enters the agent's context.
Can I generate images and draft social posts with the Goosy Bear API?
Yes. The image operations generate and iterate on branded visuals, and the post operations draft pieces, elect platforms, and set a publishing schedule. You can also build landing pages, plan ad campaigns, and compose email sequences from the same workspace.
What are the rate limits for the Goosy Bear API?
The OpenAPI spec does not publish specific rate limits, and the beta surface signals change through Deprecation and Sunset headers rather than fixed quotas. Check https://docs.goosybear.ai for current limits.
How do I draft and schedule a social post with the Goosy Bear API through Jentic?
Search Jentic for 'draft a social post' and it returns the Goosy Bear post-drafting operation with its input schema, so your agent fills the body and calls it, then sets the schedule. Install Jentic One with `curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh`, import Goosy Bear from the API Directory, and store your token once. To run it on your own infrastructure, install Jentic One from its GitHub repo.
Can I limit what my agent is allowed to do with Goosy Bear?
Yes. Write a rule that allows only the post-drafting and scheduling operations, so the agent can plan and schedule content but cannot archive pages or rotate keys, and every call it makes is logged.
Is there a Goosy Bear MCP server?
You don't need an MCP server to connect your agent to Goosy Bear. Jentic connects it directly from the API Directory: import it, store your credential once, and your agent discovers and calls the operations it needs on demand.
For Agents
Lets an AI agent draft and schedule social posts, generate branded images, build landing pages, plan ad campaigns, and compose email sequences in a marketing workspace.
Use for: I want to draft a week of social posts for my brand, Generate a branded image for an ad creative, Plan an ad campaign and run a launch check before it goes live, Build and publish a landing page for a new offer
Not supported: Does not handle payment processing, CRM record storage, or transactional email delivery infrastructure. Use for AI marketing content, ads, pages, and social scheduling only.
The Goosy Bear API drafts social posts, generates branded images, builds landing pages, plans ad campaigns, and composes email sequences from a single marketing workspace. Every tool call carries the caller's own permissions, resolved on each request, and the beta surface signals changes through Deprecation and Sunset headers. It also covers analytics queries, keyword and SEO research, and lead review for connected ad and social accounts.
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>