PandaScore
PandaScore is a Paris-based esports data and odds provider supplying real-time fixtures, live statistics, historical data, and betting markets across 13+ esports titles including League of Legends, Counter-Strike 2, Dota 2, Valorant, Rainbow Six Siege, Overwatch, Call of Duty, Rocket League, EA Sports FC, King of Glory, Wild Rift, StarCraft, and Mobile Legends Bang Bang. The PandaScore REST API at api.pandascore.co plus WebSocket feeds power fantasy platforms, media outlets, predictive analytics, live score apps, and regulated sportsbooks.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles PandaScore the way a machine reads it — 21 machine-readable artifacts across 14 APIs, 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 — PandaScore scores 41.6/100 (thin), with a separate agent-readiness read of 48/100 (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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile PandaScore
Each block below is one kind of artifact we hold for PandaScore. 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 14
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.
PandaScore REST API
Unified REST API for esports fixtures, matches, tournaments, leagues, series, teams, players, and historical statistics across all supported videogames. Bearer-token authenticat...
PandaScore Odds API
Esports betting odds and markets including pre-match and live odds, player props, BetBuilder, and Kill Maker markets across 308+ unique markets for supported titles. Delivered t...
PandaScore Live Data API
Real-time in-game state, frames, and event timelines streamed over WebSocket for supported esports titles. Used for live score apps, live trading, and second-screen experiences.
PandaScore Changes API
The Changes API from PandaScore — 3 operation(s) for changes.
PandaScore Game - CS:GO API
The Game - CS:GO API from PandaScore — 1 operation(s) for game - cs:go.
PandaScore Game - Dota 2 API
The Game - Dota 2 API from PandaScore — 1 operation(s) for game - dota 2.
PandaScore Game - League of Legends API
The Game - League of Legends API from PandaScore — 1 operation(s) for game - league of legends.
PandaScore Game - Valorant API
The Game - Valorant API from PandaScore — 1 operation(s) for game - valorant.
PandaScore Leagues API
The Leagues API from PandaScore — 2 operation(s) for leagues.
PandaScore Matches API
The Matches API from PandaScore — 5 operation(s) for matches.
PandaScore Players API
The Players API from PandaScore — 1 operation(s) for players.
PandaScore Series API
The Series API from PandaScore — 1 operation(s) for series.
PandaScore Teams API
The Teams API from PandaScore — 1 operation(s) for teams.
PandaScore Tournaments API
The Tournaments API from PandaScore — 2 operation(s) for tournaments.
Scroll within the panel for all 14 ·
Open Collections 1
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).
PandaScore API
OPEN COLLECTIONPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Pandascore Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Pandascore Finops
FINOPSSecurity 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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for PandaScore — 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 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/pandascore · machine-readable index on apis.io