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 is listed with 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 engineering blog, documentation, API reference, getting-started guide, signup flow, changelog, authentication, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

22.4/100 emerging ▬ flat Agent 18/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers 1 Agent Skills

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 2026-11-06 · rubric v0.27.0

Composite quality — 22.4/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 9.2 / 17

Access Clarity 1.8 / 17

Operational Transparency 1.7 / 11

Contract Governance 0.0 / 10

Discoverability 6.4 / 9

Regulatory Posture 2.2 / 15

Agent readiness — 18/100 · 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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 10.5 — up to +17.9 composite points
Contract Governance scores 0.0 — up to +12.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/jedify/apis.yml: open an issue on github.com/api-evangelist/jedify to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

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

Remote MCP server at be.jedify.com over HTTP; 16 tools listed.

MCP SERVER

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

Ask Jedify a question and get the answer

AGENT SKILL

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 4

The organization behind the API

Blog

BlogRSS

Website

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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
image: https://jedify.com/wp-content/uploads/logo01-1-1.svg
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: vercel
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:
- url: https://jedify.com/blog/
  type: Blog
- url: https://jedify.com/feed/
  type: BlogRSS
- 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

Jedify API — frequently asked questions

Does Jedify have an API?

Yes. APIs.io lists 1 API from Jedify, including Jedify Data Intelligence API.

How do I authenticate with the Jedify API?

Jedify uses bearer-token authentication (apiKey/oauth2 · 3 schemes). The details are profiled on APIs.io as Jedify Authentication.

Does Jedify have an MCP server?

Yes. APIs.io lists 1 MCP server for Jedify: Remote MCP server at be.jedify.com over HTTP; 16 tools listed.

Is the Jedify API ready for AI agents?

Jedify has a Kin Score of 22.4 out of 100 (emerging) and an Agent Readiness score of 18.4 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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