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.

🌐 Visit website 📡 Source on GitHub

22.6/100 emerging ▬ flat Agent 15/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessSelf serve

1 APIs 1 MCP Servers

Company Artificial Intelligence Data Analytics Business Intelligence Semantic Layer Context LayerData AgentsMCP Enterprise AI Natural Language Query

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 22.6/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 10.8 / 20

Access Clarity 2.1 / 20

Operational Transparency 2.1 / 13

Contract Governance 0.0 / 12

Discoverability 7.6 / 10

Agent readiness — 15/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

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.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. 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. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

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 Server

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

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

DataModel

Components

Build 1

SDKs, sample code, and the tooling you integrate with

Packages

Packages

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

ChangeLog

ChangeLog

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

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
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: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
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

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