Gambit

Gambit is an AI research desk for Hyperliquid that provides traders with market insights, trade opportunities, and decision support. It watches the market, ranks opportunities, and presents a thesis card with evidence, counterpoint, and potential invalidation conditions. Users can connect via MCP API to propose and confirm trades, leveraging AI tools while retaining final human control. The platform emphasizes transparency, risk awareness, and does not act as a custodian or broker.

Gambit is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Trading, Hyperliquid, and MCP.

Gambit’s developer surface includes documentation and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

9.4/100 minimal Agent 22/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API

Company Artificial Intelligence Trading Hyperliquid MCP

Kin Score

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

Composite quality — 9.4/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 1.6 / 17

Access Clarity 2.9 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.6 / 9

Regulatory Posture 1.8 / 15

Agent readiness — 22/100 · 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 0 / 8

Request/Response Examples 0 / 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 (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/.

Show this score on your site.

It updates itself when the score changes. Paste this where you link to your API docs:

<a href="https://apis.io/providers/gambit-trading/"><img src="https://apis.io/badge/gambit-trading/card.svg" alt="Gambit on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Raise your score.

Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document Ask about this →
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 →

8 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 Ask about this →
Developer Ergonomics scores 9.5 — up to +18.1 composite points Ask about this →
Access Clarity scores 17.0 — up to +16.6 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/gambit-trading/apis.yml: open an issue on github.com/api-evangelist/gambit-trading 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.

Gambit API

Gambit provides AI-driven market insights and trade thesis cards via its MCP API. Documentation is available at the Docs page.

Security Posture 1

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

Gambit Domain Security

TLSv1.3 · HSTS · DNSSEC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: gambit-trading
name: Gambit
description: Gambit is an AI research desk for Hyperliquid that provides traders with market insights, trade opportunities,
  and decision support. It watches the market, ranks opportunities, and presents a thesis card with evidence, counterpoint,
  and potential invalidation conditions. Users can connect via MCP API to propose and confirm trades, leveraging AI tools
  while retaining final human control. The platform emphasizes transparency, risk awareness, and does not act as a custodian
  or broker.
url: https://artifacts.apis.io/gambit-trading/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-09 (modular-v1; was harvest)
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
specificationVersion: '0.20'
created: '2026-11-09'
modified: '2026-11-09'
tags:
- Company
- Artificial Intelligence
- Trading
- Hyperliquid
- MCP
tags_raw:
- Company
- AI
- Trading
- Hyperliquid
- MCP
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: LLMsTxt
  url: llms/gambit-trading-llms.txt
- type: WellKnown
  url: well-known/gambit-trading-well-known.yml
- type: Hosts
  url: hosts/gambit-trading-hosts.yml
- type: Vendors
  url: vendors/gambit-trading-vendors.yml
- type: TermsOfService
  url: https://www.gambit.trading/terms
- type: PrivacyPolicy
  url: https://www.gambit.trading/privacy
- type: Documentation
  url: https://www.gambit.trading/docs
- type: DomainSecurity
  url: security/gambit-trading-domain-security.yml
- type: Website
  url: https://www.gambit.trading/
apis:
- name: Gambit API
  description: Gambit provides AI-driven market insights and trade thesis cards via its MCP API. Documentation is available
    at the Docs page.
  humanURL: https://www.gambit.trading/docs
  baseURL: null
  aid: gambit-trading:gambit-api
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Docs page returns HTML without a machine‑readable OpenAPI or other contract.
  evidence:
  - url: https://www.gambit.trading/docs
    status: 200
  checked: '2026-11-09'
x-enrichment:
  date: '2026-11-09'
  status: enriched
  artifacts_added: 13
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Gambit API — frequently asked questions

Does Gambit have an API?

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

Is the Gambit API ready for AI agents?

Gambit has a Kin Score of 9.4 out of 100 (minimal) and an Agent Readiness score of 21.8 (agent-aware), 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

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
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.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/gambit-trading"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/gambit-trading/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/gambit-trading/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.