Swish Analytics

Swish Analytics is a machine-learning sports analytics company that prices and originates sportsbook markets. Its B2B API delivers hyper-accurate player-prop pricing, pre-match and in-play match/team markets, single and parlay (accumulator) bet-request pricing, and market results across NFL, NBA, MLB, NHL, NCAA basketball and football, ATP and WTA tennis, and soccer. The read-only JSON API is authenticated with an ApiKey header, supports multi-value filtering and incremental delta sync via a modifiedAtGreater timestamp, and is documented at docs.swishanalytics.com. Swish positions itself as a global leader in player-props pricing and odds origination, risk-management and trading software for U.S. sportsbooks.

Swish Analytics publishes 10 API contracts indexed on the APIs.io network, including ATP Tennis API, Bet Request API, MLB API, and 7 more. Tagged areas include Company, Sports, Sports Betting, Sportsbook, and Analytics.

The Swish Analytics catalog on APIs.io includes 1 Spectral governance ruleset.

Swish Analytics’ developer surface includes authentication, documentation, API reference, getting-started guide, support, signup flow, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

17.4/100 emerging ▬ flat Agent 32/100 agent ready Front door AI 1/6 silent saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 published contract 3 Agent Skills

Company Sports Sports Betting Sportsbook Analytics Machine Learning Odds Player Props Data Predictions

Kin Score

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

Composite quality — 17.4/100 · emerging

Contract Quality 3.0 / 21

Developer Ergonomics 2.3 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.5 / 11

Contract Governance 3.4 / 10

Discoverability 6.2 / 9

Regulatory Posture 1.5 / 15

Agent readiness — 32/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 6 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 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 4 / 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 does not apply to this provider. The published contracts declare no write operations, and a read-only API cannot create-or-update. The facet is excluded from this provider's denominator entirely — not scored zero. A reference or data API is not deficient for being unable to upsert.

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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author 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 →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented) Ask about this →

5 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 13.9 — up to +21.5 composite points Ask about this →
Access Clarity scores 0.0 — up to +20.0 composite points Ask about this →
Developer Ergonomics scores 13.7 — up to +17.3 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.

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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/swish-analytics/apis.yml: open an issue on github.com/api-evangelist/swish-analytics 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Sports Betting and iGaming (licensed operators and suppliers)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

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.

OpenAPI

measured — observed by APIs.io (published)

Universal Commerce Protocol (UCP)

measured — observed by APIs.io (wix)

APIs 10

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

Swish Analytics ATP Tennis API

The ATP Tennis API from Swish Analytics — 3 operation(s) for atp tennis.

Swish Analytics Bet Request API

The Bet Request API from Swish Analytics — 3 operation(s) for bet request.

Swish Analytics MLB API

The MLB API from Swish Analytics — 12 operation(s) for mlb.

Swish Analytics NBA API

The NBA API from Swish Analytics — 10 operation(s) for nba.

Swish Analytics NCAA Basketball API

The NCAA Basketball API from Swish Analytics — 4 operation(s) for ncaa basketball.

Swish Analytics NCAA Football API

The NCAA Football API from Swish Analytics — 6 operation(s) for ncaa football.

Swish Analytics NFL API

The NFL API from Swish Analytics — 12 operation(s) for nfl.

Swish Analytics NHL API

The NHL API from Swish Analytics — 5 operation(s) for nhl.

Swish Analytics Soccer API

The Soccer API from Swish Analytics — 8 operation(s) for soccer.

Swish Analytics WTA Tennis API

The WTA Tennis API from Swish Analytics — 3 operation(s) for wta tennis.

Scroll for all 10

Open Collections 10

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Swish Analytics Sportsbook ATP Tennis API

OPEN COLLECTION

Swish Analytics Sportsbook ATP Tennis Bet Request API

OPEN COLLECTION

Swish Analytics Sportsbook ATP Tennis MLB API

OPEN COLLECTION

Swish Analytics Sportsbook ATP Tennis NBA API

OPEN COLLECTION

Swish Analytics Sportsbook ATP Tennis NCAA Basketball API

OPEN COLLECTION

Swish Analytics Sportsbook ATP Tennis NCAA Football API

OPEN COLLECTION

Swish Analytics Sportsbook ATP Tennis NFL API

OPEN COLLECTION

Swish Analytics Sportsbook ATP Tennis NHL API

OPEN COLLECTION

Swish Analytics Sportsbook ATP Tennis Soccer API

OPEN COLLECTION

Swish Analytics Sportsbook ATP Tennis WTA Tennis API

OPEN COLLECTION

Scroll for all 10

Agent Skills 3

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

Poll live player props from Swish Analytics

AGENT SKILL

Load pre-match match/team markets from Swish Analytics

AGENT SKILL

Price a bet or parlay with Swish Analytics

AGENT SKILL

Spectral Rules 1

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

Swish Analytics API Rules

63 rules · 60 error-severity 2 warn-severity 1 info-severity

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Swish Analytics Sportsbook Overlay

2 actions · update · swish-analytics-sportsbook-openapi.yml

DERIVED

Security Posture 2

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

Swish Analytics Authentication

apiKey · 1 scheme

SECURITY

Swish Analytics Domain Security

TLSv1.3 · HSTS

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 4

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

WellKnown

LLMsTxt

AgentSkill

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

Vocabulary

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: swish-analytics
name: Swish Analytics
description: Swish Analytics is a machine-learning sports analytics company that prices and originates sportsbook markets.
  Its B2B API delivers hyper-accurate player-prop pricing, pre-match and in-play match/team markets, single and parlay (accumulator)
  bet-request pricing, and market results across NFL, NBA, MLB, NHL, NCAA basketball and football, ATP and WTA tennis, and
  soccer. The read-only JSON API is authenticated with an ApiKey header, supports multi-value filtering and incremental delta
  sync via a modifiedAtGreater timestamp, and is documented at docs.swishanalytics.com. Swish positions itself as a global
  leader in player-props pricing and odds origination, risk-management and trading software for U.S. sportsbooks.
url: https://raw.githubusercontent.com/api-evangelist/swish-analytics/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bullpen-capital
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - 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: '2026-11-13'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
image: https://swish-assets.s3-us-west-2.amazonaws.com/imgs/spawn/api-logo-2023-full-black.png
tags:
- Company
- Sports
- Sports Betting
- Sportsbook
- Analytics
- Machine Learning
- Odds
- Player Props
- Data
- Predictions
tags_raw:
- Company
- Sports
- Sports Betting
- Sportsbook
- Analytics
- Machine Learning
- Odds
- Player Props
- Data
- Predictions
- Machine-Learning
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- aid: swish-analytics:swish-analytics-atp-tennis-api
  name: Swish Analytics ATP Tennis API
  description: The ATP Tennis API from Swish Analytics — 3 operation(s) for atp tennis.
  humanURL: https://docs.swishanalytics.com
  baseURL: https://api.swishanalytics.com
  tags:
  - ATP Tennis
  properties:
  - type: OpenAPI
    url: openapi/swish-analytics-atp-tennis-api-openapi.yml
- aid: swish-analytics:swish-analytics-bet-request-api
  name: Swish Analytics Bet Request API
  description: The Bet Request API from Swish Analytics — 3 operation(s) for bet request.
  humanURL: https://docs.swishanalytics.com
  baseURL: https://api.swishanalytics.com
  tags:
  - Bet Request
  properties:
  - type: OpenAPI
    url: openapi/swish-analytics-bet-request-api-openapi.yml
- aid: swish-analytics:swish-analytics-mlb-api
  name: Swish Analytics MLB API
  description: The MLB API from Swish Analytics — 12 operation(s) for mlb.
  humanURL: https://docs.swishanalytics.com
  baseURL: https://api.swishanalytics.com
  tags:
  - MLB
  properties:
  - type: OpenAPI
    url: openapi/swish-analytics-mlb-api-openapi.yml
- aid: swish-analytics:swish-analytics-nba-api
  name: Swish Analytics NBA API
  description: The NBA API from Swish Analytics — 10 operation(s) for nba.
  humanURL: https://docs.swishanalytics.com
  baseURL: https://api.swishanalytics.com
  tags:
  - NBA
  properties:
  - type: OpenAPI
    url: openapi/swish-analytics-nba-api-openapi.yml
- aid: swish-analytics:swish-analytics-ncaa-basketball-api
  name: Swish Analytics NCAA Basketball API
  description: The NCAA Basketball API from Swish Analytics — 4 operation(s) for ncaa basketball.
  humanURL: https://docs.swishanalytics.com
  baseURL: https://api.swishanalytics.com
  tags:
  - NCAA Basketball
  properties:
  - type: OpenAPI
    url: openapi/swish-analytics-ncaa-basketball-api-openapi.yml
- aid: swish-analytics:swish-analytics-ncaa-football-api
  name: Swish Analytics NCAA Football API
  description: The NCAA Football API from Swish Analytics — 6 operation(s) for ncaa football.
  humanURL: https://docs.swishanalytics.com
  baseURL: https://api.swishanalytics.com
  tags:
  - NCAA Football
  properties:
  - type: OpenAPI
    url: openapi/swish-analytics-ncaa-football-api-openapi.yml
- aid: swish-analytics:swish-analytics-nfl-api
  name: Swish Analytics NFL API
  description: The NFL API from Swish Analytics — 12 operation(s) for nfl.
  humanURL: https://docs.swishanalytics.com
  baseURL: https://api.swishanalytics.com
  tags:
  - NFL
  properties:
  - type: OpenAPI
    url: openapi/swish-analytics-nfl-api-openapi.yml
- aid: swish-analytics:swish-analytics-nhl-api
  name: Swish Analytics NHL API
  description: The NHL API from Swish Analytics — 5 operation(s) for nhl.
  humanURL: https://docs.swishanalytics.com
  baseURL: https://api.swishanalytics.com
  tags:
  - NHL
  properties:
  - type: OpenAPI
    url: openapi/swish-analytics-nhl-api-openapi.yml
- aid: swish-analytics:swish-analytics-soccer-api
  name: Swish Analytics Soccer API
  description: The Soccer API from Swish Analytics — 8 operation(s) for soccer.
  humanURL: https://docs.swishanalytics.com
  baseURL: https://api.swishanalytics.com
  tags:
  - Soccer
  properties:
  - type: OpenAPI
    url: openapi/swish-analytics-soccer-api-openapi.yml
- aid: swish-analytics:swish-analytics-wta-tennis-api
  name: Swish Analytics WTA Tennis API
  description: The WTA Tennis API from Swish Analytics — 3 operation(s) for wta tennis.
  humanURL: https://docs.swishanalytics.com
  baseURL: https://api.swishanalytics.com
  tags:
  - WTA Tennis
  properties:
  - type: OpenAPI
    url: openapi/swish-analytics-wta-tennis-api-openapi.yml
common:
- type: Overlay
  url: overlays/swish-analytics-sportsbook-overlay.yaml
- type: DomainSecurity
  url: security/swish-analytics-domain-security.yml
- type: Authentication
  url: authentication/swish-analytics-authentication.yml
- type: Conventions
  url: conventions/swish-analytics-conventions.yml
- type: ErrorCatalog
  url: errors/swish-analytics-problem-types.yml
- type: Lifecycle
  url: lifecycle/swish-analytics-lifecycle.yml
- type: Conformance
  url: conformance/swish-analytics-conformance.yml
- type: X-MCPServerCandidate
  url: mcp/swish-analytics-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: DataModel
  url: data-model/swish-analytics-data-model.yml
- type: Vocabulary
  url: vocabulary/swish-analytics-reference.yml
- type: WellKnown
  url: well-known/swish-analytics-well-known.yml
- type: LLMsTxt
  url: llms/swish-analytics-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: DeveloperPortal
  url: https://docs.swishanalytics.com
- type: Documentation
  url: https://docs.swishanalytics.com
- type: APIReference
  url: https://docs.swishanalytics.com/reference
- type: GettingStarted
  url: https://docs.swishanalytics.com/guides
- type: Support
  url: https://docs.swishanalytics.com/faq
- type: SignUp
  url: https://docs.swishanalytics.com/signup
- type: GitHubOrganization
  url: https://github.com/SwishAnalytics
- type: Website
  url: https://swishanalytics.com
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 16
  pass: local-v1

Swish Analytics API — frequently asked questions

Does Swish Analytics have an API?

Yes. APIs.io lists 10 APIs from Swish Analytics, including Swish Analytics ATP Tennis API, Swish Analytics Bet Request API and Swish Analytics MLB API, and 7 more.

Is there an OpenAPI specification for the Swish Analytics API?

Yes. APIs.io indexes 10 OpenAPI specifications for Swish Analytics, each linked for download from this page.

How do I authenticate with the Swish Analytics API?

Swish Analytics uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Swish Analytics Authentication.

Is the Swish Analytics API ready for AI agents?

Swish Analytics has a Kin Score of 17.4 out of 100 (emerging) and an Agent Readiness score of 31.9 (agent-ready), scored by API Evangelist on 2026-11-13.

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