Jawz

Jawz provides live market data and an investment framework for AI assistants. It offers a Model Context Protocol (MCP) server that integrates with AI models like ChatGPT or Claude, delivering up‑to‑date market prices, portfolio analysis tools, and a structured financial framework. Users can access weekly briefs, explore the Jawz Loop, and benefit from transparent, no‑storage handling of personal data. The service emphasizes privacy, real‑time data, and open documentation for developers.

Jawz is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Finance, Market Data, MCP, and Investment.

The Jawz catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Jawz’s developer surface includes changelog, documentation, API reference, getting-started guide, and 14 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

24.7/100 emerging Agent 39/100 agent ready Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API 1 MCP Servers

Artificial Intelligence Finance Market Data MCP Investment

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 24.7/100 · emerging

Contract Quality 5.0 / 21

Developer Ergonomics 4.9 / 17

Access Clarity 2.9 / 17

Operational Transparency 1.6 / 11

Contract Governance 2.2 / 10

Discoverability 5.0 / 9

Regulatory Posture 2.5 / 15

Agent readiness — 39/100 · agent ready

Machine-Readable Contract 18 / 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 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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 Securities & Market Data 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):

Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks Ask about this →

6 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 23.6 — up to +19.1 composite points Ask about this →
Access Clarity scores 17.0 — up to +16.6 composite points Ask about this →
Developer Ergonomics scores 28.6 — up to +14.3 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/jawz-ai/apis.yml: open an issue on github.com/api-evangelist/jawz-ai 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 3

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 (documented)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

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

Jawz API

Jawz API as documented publicly: 6 operations. Contract generated from the documentation by API Evangelist (2026-11-12); not the provider's own document.

MCP Servers 1

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

Jawz MCP Server

Remote MCP server at jawz.ai requiring OAuth.

MCP SERVER

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Jawz Ai Context

8 classes · 24 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Jawz API Rules

38 rules · 36 error-severity 1 warn-severity 1 info-severity

SPECTRAL

JSON Schema 6

Standalone JSON Schema definitions for this provider's data models.

PostApiMcpRequest

4 properties

JSON SCHEMA

PostApiMcpResponse

4 properties

JSON SCHEMA

PostOauthCallbackRequest

7 properties

JSON SCHEMA

PostOauthRegisterRequest

2 properties

JSON SCHEMA

PostOauthTokenRequest

5 properties

JSON SCHEMA

PostOauthTokenResponse

3 properties

JSON SCHEMA

Security Posture 1

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

Jawz Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

WellKnown

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conformance

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Newsroom

Newsroom

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: jawz-ai
name: Jawz
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: unreadable
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://jawz.ai/opengraph-image?50f3294820dc4587
description: Jawz provides live market data and an investment framework for AI assistants. It offers a Model Context Protocol
  (MCP) server that integrates with AI models like ChatGPT or Claude, delivering up‑to‑date market prices, portfolio analysis
  tools, and a structured financial framework. Users can access weekly briefs, explore the Jawz Loop, and benefit from transparent,
  no‑storage handling of personal data. The service emphasizes privacy, real‑time data, and open documentation for developers.
url: https://artifacts.apis.io/jawz-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-12 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-12'
modified: '2026-11-12'
tags:
- Artificial Intelligence
- Finance
- Market Data
- MCP
- Investment
tags_raw:
- AI
- Finance
- Market-Data
- MCP
- Investment
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/jawz-ai-rules.yml
- type: JSONLD
  url: json-ld/jawz-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/jawz-ai-vocabulary.yml
- type: DataModel
  url: data-model/jawz-ai-data-model.yml
- type: ChangeLog
  url: changelog/jawz-ai-changelog.yml
- type: Conformance
  url: conformance/jawz-ai-conformance.yml
- type: MCPServer
  url: mcp/jawz-ai-mcp.yml
- type: WellKnown
  url: well-known/jawz-ai-well-known.yml
- type: Hosts
  url: hosts/jawz-ai-hosts.yml
- type: Vendors
  url: vendors/jawz-ai-vendors.yml
- type: Newsroom
  url: https://jawz.ai/media/jawz-commercial.mp4
- type: DomainSecurity
  url: security/jawz-ai-domain-security.yml
- type: Website
  url: https://jawz.ai/
- type: Documentation
  url: https://jawz.ai/docs/loop-guide
- type: APIReference
  url: https://jawz.ai/docs/mcp
- type: GettingStarted
  url: https://jawz.ai/brief
- type: PrivacyPolicy
  url: https://jawz.ai/privacy
- type: TermsOfService
  url: https://jawz.ai/terms
apis:
- aid: jawz-ai:jawz-ai-api
  name: Jawz API
  description: 'Jawz API as documented publicly: 6 operations. Contract generated from the documentation by API Evangelist
    (2026-11-12); not the provider''s own document.'
  humanURL: https://jawz.ai/whitepaper
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/jawz-ai-openapi-generated.yml
    x-provenance: generated
  - type: JSONSchema
    url: json-schema/jawz-ai-post-oauth-callback-request-schema.json
  - type: JSONSchema
    url: json-schema/jawz-ai-post-oauth-token-request-schema.json
  - type: JSONSchema
    url: json-schema/jawz-ai-post-api-mcp-request-schema.json
  - type: JSONSchema
    url: json-schema/jawz-ai-post-oauth-token-response-schema.json
  - type: JSONSchema
    url: json-schema/jawz-ai-post-oauth-register-request-schema.json
  - type: JSONSchema
    url: json-schema/jawz-ai-post-api-mcp-response-schema.json
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Provider documentation is public HTML but no OpenAPI, AsyncAPI, GraphQL, gRPC, or WSDL contracts were found.
  evidence:
  - url: https://jawz.ai/docs/mcp
    status: 200
  checked: '2026-11-13'
x-enrichment:
  date: '2026-11-12'
  status: enriched
  artifacts_added: 25
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Jawz API — frequently asked questions

Does Jawz have an API?

Yes. APIs.io lists 1 API from Jawz, including Jawz API.

Is there an OpenAPI specification for the Jawz API?

Yes. APIs.io indexes 1 OpenAPI specification for Jawz, each linked for download from this page.

Does Jawz have an MCP server?

Yes. APIs.io lists 1 MCP server for Jawz: Remote MCP server at jawz.ai requiring OAuth.

Is the Jawz API ready for AI agents?

Jawz has a Kin Score of 24.7 out of 100 (emerging) and an Agent Readiness score of 38.9 (agent-ready), scored by API Evangelist on 2026-11-13.

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

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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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