Gojiberry AI
Gojiberry AI is a Y Combinator-backed (P26), EU-hosted AI sales development platform that turns a company website into an autonomous go-to-market agent. The agent detects buying and social intent signals, scores prospects against an ideal customer profile, builds warm-lead lists, and runs multichannel (email and LinkedIn) outreach automatically. Gojiberry exposes a REST External API at ext.gojiberry.ai for programmatic access to contacts, campaigns, lists, lead-source agents, and the unified LinkedIn/email inbox (Unibox), plus a hosted Model Context Protocol (MCP) server so agents like Claude can run outreach and pull pipeline insights conversationally. Trusted by 2,000+ sales and GTM teams worldwide.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Gojiberry AI the way a machine reads it — 13 machine-readable artifacts across 8 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Gojiberry AI scores 48.7/100 (developing), with a separate agent-readiness read of 64/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Gojiberry AI
Each block below is one kind of artifact we hold for Gojiberry AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 8
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Gojiberry AI AppExternal API
The AppExternal API from Gojiberry AI — 2 operation(s) for appexternal.
Gojiberry AI Campaigns API
The Campaigns API from Gojiberry AI — 2 operation(s) for campaigns.
Gojiberry AI Contacts API
The Contacts API from Gojiberry AI — 5 operation(s) for contacts.
Gojiberry AI Lead source agents API
The Lead source agents API from Gojiberry AI — 3 operation(s) for lead source agents.
Gojiberry AI Lists API
The Lists API from Gojiberry AI — 2 operation(s) for lists.
Gojiberry AI Organization API
The Organization API from Gojiberry AI — 2 operation(s) for organization.
Gojiberry AI Unibox API
The Unibox API from Gojiberry AI — 4 operation(s) for unibox.
Gojiberry AI User API
The User API from Gojiberry AI — 2 operation(s) for user.
Scroll within the panel for all 8 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
gojiberry-ai-mcp.yml
MCP SERVERRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Gojiberry Ai Rate Limits
RATE LIMITSEvent Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Gojiberry Ai Webhooks
ASYNCAPISecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Gojiberry AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 2
Properties that don't map to a standard resource type
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