Surge AI
Surge AI is a human-data company that provides large-scale, expert-quality labeled data for training and evaluating frontier AI models. The product surface spans RL environments and agents (rich, complex environments that challenge agentic models), rubrics and verifiers (scoring systems for AI outputs), RLHF (preference and reward data), SFT (foundational skill demonstrations), human evaluation, expert professional domains, internationalization across 70+ languages, multimodal (image, audio, video) data, and off-the-shelf datasets. Surge ships an official Python SDK (surge-python) wrapping the Surge API, with API-key authentication, and exposes the dashboard and API reference at app.surgehq.ai. Public datasets published by Surge include the toxicity dataset (the world's largest social-media toxicity dataset).
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Surge AI the way a machine reads it — 44 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 — Surge AI scores 43.0/100 (developing), with a separate agent-readiness read of 31/100 (agent aware). 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 2026-08-17 · rubric v0.11.0
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How we profile Surge AI
Each block below is one kind of artifact we hold for Surge AI. 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.
Surge API
Surge's REST API for managing labeling projects, tasks, and results. Endpoints cover projects (list, retrieve, create, download results, save reports in multiple formats), tasks...
Surge Python SDK
Official Python SDK (surge-api on PyPI) wrapping the Surge API. Requires Python 3.10+, MIT-licensed, and last updated May 2026. Configured via surge.api_key or the SURGE_API_KEY...
Surge RL Environments and Agents
Surge's product surface for delivering complex reinforcement-learning environments and agents that challenge and evaluate agentic models.
Surge Rubrics and Verifiers
Scoring rubrics and automated verifiers for grading AI outputs across domains.
Surge RLHF
Preference and reward data for reinforcement learning from human feedback.
Surge SFT
Foundational-skill demonstration data for supervised fine-tuning.
Surge Human Evaluation
Quality assessment of AI outputs by Surge's expert workforce.
Surge Multimodal Data
Image, audio, and video data collection and labeling.
Surge Internationalization
Multilingual data across 70+ languages for localization, translation, and multilingual model evaluation.
Surge Off-The-Shelf Data
Pre-built datasets ready for licensing and download.
Surge Toxicity Dataset
The world's largest open social-media toxicity dataset, published under MIT license.
Surge AI Projects API
The Projects API from Surge AI — 9 operation(s) for projects.
Surge AI Tasks API
The Tasks API from Surge AI — 5 operation(s) for tasks.
Surge AI Teams API
The Teams API from Surge AI — 1 operation(s) for teams.
Scroll within the panel for all 14 ·
Open Collections 5
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 COLLECTIONSurge AI Projects API
OPEN COLLECTIONSurge AI Projects Tasks API
OPEN COLLECTIONSurge AI Projects Teams API
OPEN COLLECTIONSurge AI 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.
Surge Ai 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.
Surge Ai Finops
FINOPSFeatures 11
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Surge REST API
Endpoints for projects, tasks, and blueprints, with API-key authentication.
Python SDK
Official surge-python SDK on PyPI, MIT-licensed, Python 3.10+.
RL Environments and Agents
Complex environments that challenge agentic models.
Rubrics and Verifiers
Scoring systems for AI outputs across domains.
RLHF and SFT
Preference, reward, and demonstration data for foundation-model training.
Human Evaluation
Expert workforce grades AI output quality.
Expert Professional Domains
Specialized expertise across finance, law, medicine, and more.
70+ Languages
Internationalization coverage spanning more than 70 languages.
Multimodal Data
Image, audio, and video collection and labeling.
Off-The-Shelf Datasets
Pre-built datasets available for licensing.
Open Datasets
Public releases including the world's largest social-media toxicity dataset.
Scroll 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.
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.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Frontier Model RLHF
Preference and reward data for reinforcement learning from human feedback.
Supervised Fine-Tuning
Demonstration data for SFT across professional domains.
Agentic Evals
Benchmark agents in complex RL environments with structured rubrics.
Multilingual Model Evaluation
Evaluate model quality across 70+ languages.
Trust and Safety Research
Use the toxicity dataset and human evaluation pipelines for trust and safety work.
Integrations 3
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Python SDK
Programmatic integration via the official surge-python SDK.
API Key Authentication
Standard API-key auth (SURGE_API_KEY env var or programmatic configuration).
Custom Project Blueprints
Use Surge blueprints as templates for new labeling projects.
Resources
Every other property we hold for Surge AI — 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 1
MCP servers, agent skills, and machine-readable catalogs
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
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/surge-ai · machine-readable index on apis.io
This is an independent, third-party profile of Surge AI, 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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