Flockjay is a sales enablement platform that helps revenue teams capture, organize, and scale their best practices. It combines a learning management system, a content and knowledge management system, and AI-powered coaching — including semantic search across sales content, real-time deal and rep coaching, call scoring, and pitch grading — so sales leaders, revenue operations, and enablement professionals can onboard reps faster and reinforce winning behaviors. Flockjay advertises 50+ integrations with tools such as Gong, Chorus, Clari Copilot, Slack, Microsoft Teams, Zoom, Salesforce and Okta, and is backed by Lightspeed Venture Partners, e.ventures and Salesforce Ventures. Flockjay runs a Django REST Framework API at api.flockjay.com whose root anonymously enumerates 20 collections across two version trees, and a hosted, OAuth 2.1-protected Model Context Protocol server at api.flockjay.com/mcp that it announced on its own blog. Neither is documented: there is no developer portal, no API reference, no OpenAPI, no SDK and no pricing page anywhere on flockjay.com.
Flockjay is listed with 2 APIs on the APIs.io network. Tagged areas include Company, Sales Enablement, Sales Training, LMS, and Revenue Operations.
Flockjay’s developer surface includes engineering blog, support, authentication, and 22 more developer resources.
Regulatory Posture applies to this provider. Its tags matched the
Education & Research regime (on an ambiguous tag, where no other regime matched), so
Regulatory Posture carries 15 points of the composite.
If this regime is wrong for your business, say so on your
provider repo — the
applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero:
never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and
several others — scorable at all.
The six quality facets above are damped to 85 points between them,
because the conditional facet above carries the other
15. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 85% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
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Agent readiness — checks not met, largest first (exact, from this profile):
Idempotency+9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card+8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples+7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Typed Event Surface+6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
6 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
The Kin Score Market layer reads a provider inside its market:
its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted:
not part of the Kin Score or agent readiness.
Registered MCP server and declares compatibility are report only — not weighted.
Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
Django REST Framework API behind the Flockjay platform. The API root at https://api.flockjay.com/api/ is anonymously readable and enumerates 20 collections across an unversioned...
Hosted, first-party Model Context Protocol server that gives AI assistants read access to a customer's enablement data — rep certification and learning progress, coaching scorec...
Flockjay operates a first-party, hosted Model Context Protocol server that gives AI assistants read access to a customer's enablement data — rep certification and learning progr...
aid: flockjay
deliveryModel:
model: saas
open_source: false
commercial: true
callable_host: false
label: Hosted service · you call their endpoint
confidence: medium
source:
- pricing
generated: '2026-08-28'
method: derived
accessModel:
pricing: unknown
onboarding: sales-led
trial: false
try_now: false
public: false
label: Demo request only
confidence: high
source:
- https://flockjay.com/request-demo
- plans/flockjay-plans-pricing.yml
generated: '2026-08-14'
method: searched
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/flockjay.png
name: Flockjay
description: 'Flockjay is a sales enablement platform that helps revenue teams capture, organize, and scale their best practices.
It combines a learning management system, a content and knowledge management system, and AI-powered coaching — including
semantic search across sales content, real-time deal and rep coaching, call scoring, and pitch grading — so sales leaders,
revenue operations, and enablement professionals can onboard reps faster and reinforce winning behaviors. Flockjay advertises
50+ integrations with tools such as Gong, Chorus, Clari Copilot, Slack, Microsoft Teams, Zoom, Salesforce and Okta, and
is backed by Lightspeed Venture Partners, e.ventures and Salesforce Ventures. Flockjay runs a Django REST Framework API
at api.flockjay.com whose root anonymously enumerates 20 collections across two version trees, and a hosted, OAuth 2.1-protected
Model Context Protocol server at api.flockjay.com/mcp that it announced on its own blog. Neither is documented: there is
no developer portal, no API reference, no OpenAPI, no SDK and no pricing page anywhere on flockjay.com.'
url: https://raw.githubusercontent.com/api-evangelist/flockjay/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- lightspeed-venture-partners
x-tier: profiled
x-tier-reason: live-api-and-mcp-server-discovered
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-14'
tags:
- Company
- Sales Enablement
- Sales Training
- LMS
- Revenue Operations
- AI Coaching
- Content Management
- Software-as-a-Service
- MCP
- Agent-Native
- OAuth
- Authentication
tags_raw:
- Company
- Sales Enablement
- Sales Training
- Learning Management
- Revenue Operations
- AI Coaching
- Content Management
- SaaS
- MCP
- Agent Native
- OAuth
- agent-native
- Authentication
apis:
- name: Flockjay API
description: Django REST Framework API behind the Flockjay platform. The API root at https://api.flockjay.com/api/ is anonymously
readable and enumerates 20 collections across an unversioned v1 tree (events, questions, course, module, submodule, assignment_submissions,
assignments, live_sessions, groups, rubrics, users) and a /v2/ tree (user, learning-content, progress, sharedcontent,
event, task, user_certificate, assignment-submission, search). Every collection requires a Flockjay-issued token. No OpenAPI,
no reference documentation and no developer portal is published — the profile below was established by probing the host.
humanURL: https://api.flockjay.com/api/
baseURL: https://api.flockjay.com/api/
tags:
- Sales Enablement
- LMS
- Content Management
- Revenue Operations
tags_raw:
- Sales Enablement
- Learning Management
- Content Management
- Revenue Operations
properties:
- type: Authentication
url: authentication/flockjay-authentication.yml
- type: Conventions
url: conventions/flockjay-conventions.yml
- type: DataModel
url: data-model/flockjay-data-model.yml
- type: ErrorCatalog
url: errors/flockjay-problem-types.yml
- type: RateLimits
url: rate-limits/flockjay-rate-limits.yml
- type: Conformance
url: conformance/flockjay-conformance.yml
- type: JSONSchema
url: json-schema/flockjay-events-options-metadata.json
- name: Flockjay MCP Server
description: Hosted, first-party Model Context Protocol server that gives AI assistants read access to a customer's enablement
data — rep certification and learning progress, coaching scorecards and call scores, and shared-content performance. Announced
by Flockjay as "a first-of-its-kind capability for the enablement space". The endpoint answers JSON-RPC over HTTPS and
is protected by OAuth 2.1 authorization-code + PKCE with dynamic client registration; anonymous tools/list returns HTTP
401 with an RFC 9728 challenge, so the tool list and input schemas are not public.
humanURL: https://flockjay.com/resources/blog/ai-enablement-mcp-server
baseURL: https://api.flockjay.com/mcp
tags:
- MCP
- Agent-Native
- Sales Enablement
- AI Coaching
tags_raw:
- MCP
- Agent Native
- Sales Enablement
- AI Coaching
- agent-native
properties:
- type: MCPServer
url: mcp/flockjay-mcp.yml
- type: MCPServer
url: https://api.flockjay.com/mcp
- type: Authentication
url: authentication/flockjay-authentication.yml
- type: OAuthScopes
url: scopes/flockjay-scopes.yml
- type: Documentation
url: https://flockjay.com/resources/blog/ai-enablement-mcp-server
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
- FN: APIs.json
email: info@apis.io
common:
- type: Website
url: https://flockjay.com
- type: Login
url: https://flockjay.com/login
- type: Integrations
url: https://flockjay.com/product/integrations
- type: Blog
url: https://flockjay.com/resources/blog
- type: Support
url: https://flockjay.com/resources/support
- type: GitHubOrganization
url: https://github.com/Flockjay
- type: TrustCenter
url: https://flockjay.com/product/trust-center
- type: PrivacyPolicy
url: https://flockjay.com/legal/privacy-policy
- type: TermsOfService
url: https://flockjay.com/legal/terms-and-conditions
- type: MCPServer
url: mcp/flockjay-mcp.yml
- type: WellKnown
url: well-known/flockjay-well-known.yml
- type: Authentication
url: authentication/flockjay-authentication.yml
- type: OAuthScopes
url: scopes/flockjay-scopes.yml
- type: Conventions
url: conventions/flockjay-conventions.yml
- type: ErrorCatalog
url: errors/flockjay-problem-types.yml
- type: DataModel
url: data-model/flockjay-data-model.yml
- type: Conformance
url: conformance/flockjay-conformance.yml
- type: Lifecycle
url: lifecycle/flockjay-lifecycle.yml
- type: Plans
url: plans/flockjay-plans-pricing.yml
- type: RateLimits
url: rate-limits/flockjay-rate-limits.yml
- type: Packages
url: packages/flockjay-packages.yml
- type: LLMsTxt
url: llms/flockjay-llms.txt
- type: DomainSecurity
url: security/flockjay-domain-security.yml
- type: VulnerabilityDisclosure
url: security/flockjay-vulnerability-disclosure.yml
- type: Security
url: security/flockjay-vulnerability-disclosure.yml
- type: TrustCenter
url: security/flockjay-trust-center.yml
x-enrichment:
date: '2026-08-14'
status: enriched
artifacts_added: 21
pass: local-v1
Flockjay API — frequently asked questions
Does Flockjay have an API?
Yes. APIs.io lists 2 APIs from Flockjay, including Flockjay API and Flockjay MCP Server.
How do I authenticate with the Flockjay API?
Flockjay documents its authentication (2 schemes). The details are profiled on APIs.io as Flockjay Authentication.
Does Flockjay have an MCP server?
Yes. APIs.io lists 1 MCP server for Flockjay: Flockjay operates a first-party, hosted Model Context Protocol server that gives AI assistants read access to a customer's enablement data — rep certification and learning progress, coaching scorecard
Is the Flockjay API ready for AI agents?
Flockjay has a Kin Score of 29.4 out of 100 (thin) and an Agent Readiness score of 32.7 (agent-ready), scored by API Evangelist on 2026-11-06.
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