Jedify website screenshot

Jedify

Jedify is an enterprise AI platform that fuses business context with multi-source data into an AI-ready contextual "context layer" (Semantic Fusion) so companies can run grounded, natural-language analytics and autonomous data agents across their data lakes, warehouses, BI tools, databases, CRMs, and documents. It exposes an asynchronous session/inquiry REST API at be.jedify.com/api (X-API-Key auth), a published Model Context Protocol (MCP) server with Asker, Editor, and Builder modes for connecting Claude, Cursor, and other agents, plus native data connectors (Snowflake, BigQuery, Redshift, Databricks, Athena, dbt, Looker, Tableau) and embedded surfaces for Looker and Slack. Jedify raised a $24M Series A and is backed by Norwest Venture Partners.

Jedify publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Data Analytics, Business Intelligence, and Semantic Layer.

Jedify’s developer surface includes documentation, API reference, getting-started guide, signup flow, engineering blog, changelog, authentication, and 13 more developer resources.

28.6/100 emerging ▬ flat Agent 34/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
1 APIs 1 MCP Servers
CompanyArtificial IntelligenceData AnalyticsBusiness IntelligenceSemantic LayerContext LayerData AgentsMCPEnterprise AINatural Language Query

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 28.6/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 12.6 / 20
Commercial Clarity 4.7 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 34/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/jedify: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Jedify Data Intelligence API

Asynchronous REST API for asking natural-language analytics questions against connected data. Create a session, submit an inquiry, then poll or long-poll for a grounded answer w...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

jedify-mcp.yml

MCP SERVER

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Jedify Authentication

apiKey/oauth2 · 3 schemes

SECURITY

Jedify Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

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 4

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 2

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: jedify
name: Jedify
description: Jedify is an enterprise AI platform that fuses business context with multi-source data into an AI-ready contextual
  "context layer" (Semantic Fusion) so companies can run grounded, natural-language analytics and autonomous data agents across
  their data lakes, warehouses, BI tools, databases, CRMs, and documents. It exposes an asynchronous session/inquiry REST
  API at be.jedify.com/api (X-API-Key auth), a published Model Context Protocol (MCP) server with Asker, Editor, and Builder
  modes for connecting Claude, Cursor, and other agents, plus native data connectors (Snowflake, BigQuery, Redshift, Databricks,
  Athena, dbt, Looker, Tableau) and embedded surfaces for Looker and Slack. Jedify raised a $24M Series A and is backed by
  Norwest Venture Partners.
url: https://raw.githubusercontent.com/api-evangelist/jedify/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- norwest-venture-partners
x-tier: profiled
x-tier-reason: enriched-from-stub
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
image: https://jedify.com/wp-content/uploads/logo01-1-1.svg
tags:
- Company
- Artificial Intelligence
- Data Analytics
- Business Intelligence
- Semantic Layer
- Context Layer
- Data Agents
- MCP
- Enterprise AI
- Natural Language Query
apis:
- name: Jedify Data Intelligence API
  description: Asynchronous REST API for asking natural-language analytics questions against connected data. Create a session,
    submit an inquiry, then poll or long-poll for a grounded answer with generated SQL, structured data, and chart metadata.
  humanURL: https://docs.jedify.com/api-reference/overview
  baseURL: https://be.jedify.com/api
  tags:
  - Data Intelligence
  - Natural Language Query
  - Analytics
  properties:
  - type: APIReference
    url: https://docs.jedify.com/api-reference/overview
  - type: Authentication
    url: authentication/jedify-authentication.yml
  - type: Conventions
    url: conventions/jedify-conventions.yml
  - type: ErrorCatalog
    url: errors/jedify-problem-types.yml
  - type: DataModel
    url: data-model/jedify-data-model.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://jedify.com
- type: DeveloperPortal
  url: https://docs.jedify.com
- type: Documentation
  url: https://docs.jedify.com
- type: APIReference
  url: https://docs.jedify.com/api-reference/overview
- type: GettingStarted
  url: https://docs.jedify.com/getting-started/introduction
- type: SignUp
  url: https://app.jedify.com/sign-up
- type: Blog
  url: https://jedify.com/news/
- type: PrivacyPolicy
  url: https://jedify.com/privacy/
- type: ChangeLog
  url: https://docs.jedify.com/changelog
- type: MCPServer
  url: mcp/jedify-mcp.yml
- type: LLMsTxt
  url: llms/jedify-llms.txt
- type: Authentication
  url: authentication/jedify-authentication.yml
- type: Packages
  url: packages/jedify-packages.yml
- type: Conventions
  url: conventions/jedify-conventions.yml
- type: ErrorCatalog
  url: errors/jedify-problem-types.yml
- type: DataModel
  url: data-model/jedify-data-model.yml
- type: Components
  url: components/jedify-components.yml
- type: AgentSkill
  url: skills/_index.yml
- type: ChangeLog
  name: Changelog artifact
  url: changelog/jedify-changelog.yml
- type: DomainSecurity
  url: security/jedify-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence