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.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Swish Analytics the way a machine reads it — 23 machine-readable artifacts across 1 API, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Swish Analytics scores 16.5/100 (emerging), with a separate agent-readiness read of 32/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-09-08 · rubric v0.20.0
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title="Swish Analytics on API Evangelist — API profile and Kin Score">
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</a>[](https://providers.apievangelist.com/providers/swish-analytics/)<!-- Kin Score · API Evangelist -->
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title="Swish Analytics on API Evangelist — API profile and Kin Score">
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</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Swish Analytics
Each block below is one kind of artifact we hold for Swish Analytics. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 10
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
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 within the panel for all 10 ·
Open Collections 11
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONSwish Analytics Sportsbook ATP Tennis API
OPEN COLLECTIONSwish Analytics Sportsbook ATP Tennis Bet Request API
OPEN COLLECTIONSwish Analytics Sportsbook ATP Tennis MLB API
OPEN COLLECTIONSwish Analytics Sportsbook ATP Tennis NBA API
OPEN COLLECTIONSwish Analytics Sportsbook ATP Tennis NCAA Basketball API
OPEN COLLECTIONSwish Analytics Sportsbook ATP Tennis NCAA Football API
OPEN COLLECTIONSwish Analytics Sportsbook ATP Tennis NFL API
OPEN COLLECTIONSwish Analytics Sportsbook ATP Tennis NHL API
OPEN COLLECTIONSwish Analytics Sportsbook ATP Tennis Soccer API
OPEN COLLECTIONSwish Analytics Sportsbook ATP Tennis WTA Tennis API
OPEN COLLECTIONScroll within the panel for all 11 ·
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Swish Analytics — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Company 1
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/swish-analytics · machine-readable index on apis.io
This is an independent, third-party profile of Swish Analytics, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.