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).

Surge AI publishes 14 API contracts indexed on the APIs.io network, including Projects API, Tasks API, Teams API, and 11 more. Tagged areas include Human Data, RLHF, SFT, Rubrics, and Verifiers.

The Surge AI catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Surge AI’s developer surface includes authentication, developer portal, documentation, API reference, signup flow, developer console, engineering blog, and 39 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

41.9/100 developing ▬ flat Agent 21/100 agent aware Front door AI 3/6 light Heartbeat 100/100 alive open core · MIT Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessEnterprise

1 published contract 4 Agent Skills 11 Features 5 Use Cases

Human Data RLHF SFT Rubrics VerifiersRL EnvironmentsMulti-Modal Internationalization Labeling

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

AI Model Services

AE-110

ProjectsTasks

Kin Score

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

Composite quality — 41.9/100 · developing

Contract Quality 9.6 / 16

Developer Ergonomics 8.0 / 13

Access Clarity 5.5 / 13

Operational Transparency 2.2 / 8

Contract Governance 1.7 / 8

Discoverability 3.7 / 7

Regulatory Posture 2.8 / 15

Open Source Surface 0.0 / 10

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 21/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 6 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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 0 / 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 0 / 5

Distinct Operations 0 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics 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.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 65 points between them, because both conditional facets apply and carry 35 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 65% 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/surge-ai/"><img src="https://apis.io/badge/surge-ai/card.svg" alt="Surge AI 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):

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 →
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 →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →

9 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 42.6 — up to +11.5 composite points Ask about this →
Contract Quality scores 58.9 — up to +10.3 composite points Ask about this →
Operational Transparency scores 26.2 — up to +9.6 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/surge-ai/apis.yml: open an issue on github.com/api-evangelist/surge-ai 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 1

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)

APIs 14

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 for all 14

Open Collections 4

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

Surge AI Projects API

OPEN COLLECTION

Surge AI Projects Tasks API

OPEN COLLECTION

Surge AI Projects Teams API

OPEN COLLECTION

Surge AI API

OPEN COLLECTION

Agent Skills 4

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

collect-task-responses

AGENT SKILL

create-and-launch-a-labeling-project

AGENT SKILL

manage-project-lifecycle

AGENT SKILL

seed-gold-standards

AGENT SKILL

Surge AI API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Surge AI Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Surge AI Rate Limits

0 limits

RATE LIMITS

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Surge AI

13 quoted statements, read from Surge AI's own page on 2026-11-10.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Surge AI

13 quoted statements, read from Surge AI's own page on 2026-11-10.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

Surge AI

2 quoted statements, read from Surge AI's own page on 2026-11-10.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

Surge AI

1 quoted statement, read from Surge AI's own page on 2026-11-10.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Surge AI

2 quoted statements, read from Surge AI's own page on 2026-11-10.

LICENSE

FinOps 1

Cost, billing, and metering signals for API financial operations.

Surge AI Finops

FINOPS

Features 11

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 for all 11

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Surge Ai Context

6 classes · 10 properties

JSON-LD

Spectral Rules 1

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

Surge AI API Rules

12 rules · 10 error-severity 1 warn-severity 1 info-severity

SPECTRAL

OpenAPI Overlays 3

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.

Surge AI Projects Api Overlay

12 actions · update · surge-ai-projects-api-openapi.yml

GENERATED

Surge AI Tasks Api Overlay

7 actions · update · surge-ai-tasks-api-openapi.yml

GENERATED

Surge AI Teams Api Overlay

2 actions · update · surge-ai-teams-api-openapi.yml

GENERATED

JSON Schema 6

Standalone JSON Schema definitions for this provider's data models.

ProjectCreate

4 properties

JSON SCHEMA

Project

4 properties

JSON SCHEMA

ProjectUpdate

3 properties

JSON SCHEMA

TaskCreate

1 properties

JSON SCHEMA

Task

4 properties

JSON SCHEMA

Team

2 properties

JSON SCHEMA

Security Posture 2

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

Surge AI Authentication

http · 1 scheme

SECURITY

Surge AI Domain Security

TLSv1.3 · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

Surge AI Agentic Access

18 operations · 10 acting

AGENTIC

Use Cases 5

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 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

Get Started 4

Portal, sign-up, and the first successful call

Portal

Portal

Signup

Signup

Console

Console

Login

Documentation 4

Reference material describing how the API behaves

Documentation

APIReference

Guides

AIPreferences

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

AgenticAccess

AgenticAccess

Design & Contract 7

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conventions

Lifecycle

Conformance

Scroll for all 7

Build 5

SDKs, sample code, and the tooling you integrate with

Packages

Packages

SDKs

SDKs

SDKs

SDKs

GitHubOrganization

GitHubOrganization

GitHubRepository

GitHubRepository

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Authentication

Authentication

Operate 4

Status, limits, changes, and where to get help

Deprecation

IssueTracker

Support

StatusPage

Commercial 6

Pricing, plans, and the legal terms of use

FinOps

License

TermsOfService

PrivacyPolicy

UsageTerms

DataLicense

Company 4

The organization behind the API

Website

Website

Blog

Blog

Careers

Careers

LinkedIn

Other 7

Properties that don't map to a standard resource type

CapabilityMap

Overlay

Hosts

Vendors

DataProcessing

Eligibility

Scroll for all 7

Source (apis.yml)

aid: surge-ai
name: Surge AI
description: 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).
type: Index
deliveryModel:
  model: open-core
  license: MIT
  open_source: true
  commercial: true
  callable_host: true
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: low
  probe_state: gated
  source:
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/surge-ai.png
tags:
- Human Data
- RLHF
- SFT
- Rubrics
- Verifiers
- RL Environments
- Multi-Modal
- Internationalization
- Labeling
tags_raw:
- Human Data
- RLHF
- SFT
- Rubrics
- Verifiers
- RL Environments
- Multimodal
- Internationalization
- Labeling
url: https://raw.githubusercontent.com/api-evangelist/surge-ai/refs/heads/main/apis.yml
created: '2026-05-23'
modified: '2026-10-27'
specificationVersion: '0.23'
maintainers:
- FN: Kin Lane
  url: http://apievangelist.com
  email: kin@apievangelist.com
common:
- type: CapabilityMap
  url: capabilities/surge-ai-capability-edges.yml
  name: Surge AI Business Capability Map
- type: Spectral
  url: rules/surge-ai-rules.yml
- type: JSONLD
  url: json-ld/surge-ai-context.jsonld
- type: Vocabulary
  url: vocabulary/surge-ai-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/surge-ai-data-model.yml
- type: Conventions
  url: conventions/surge-ai-conventions.yml
- type: Deprecation
  url: lifecycle/surge-ai-lifecycle.yml
- type: Lifecycle
  url: lifecycle/surge-ai-lifecycle.yml
- type: Conformance
  url: conformance/surge-ai-conformance.yml
- type: Overlay
  url: overlays/surge-ai-projects-api-overlay.yaml
- type: Hosts
  url: hosts/surge-ai-hosts.yml
- type: Vendors
  url: vendors/surge-ai-vendors.yml
- type: Packages
  url: packages/surge-ai-packages.yml
- type: FinOps
  url: finops/surge-ai-finops.yml
- type: Website
  url: https://surgehq.ai/
- type: IssueTracker
  url: https://github.com/surge-ai/surge-python/issues
- type: License
  name: MIT
  url: https://github.com/surge-ai/surge-python/blob/main/LICENSE
- type: AgenticAccess
  url: agentic-access/surge-ai-agentic-access.yml
- type: DomainSecurity
  url: security/surge-ai-domain-security.yml
- type: Authentication
  url: authentication/surge-ai-authentication.yml
- type: Portal
  url: https://www.surgehq.ai
- type: Documentation
  url: https://app.surgehq.ai/docs/api
- type: APIReference
  url: https://app.surgehq.ai/docs/api
- type: Authentication
  url: https://app.surgehq.ai/docs/api
- type: Signup
  url: https://app.surgehq.ai/customers/sign_in
- type: Console
  url: https://app.surgehq.ai
- type: SDKs
  url: https://github.com/surge-ai/surge-python
  name: Surge Python SDK
- type: SDKs
  url: https://pypi.org/project/surge-api/
  name: surge-api on PyPI
- type: GitHubOrganization
  url: https://github.com/surge-ai
- type: GitHubRepository
  url: https://github.com/surge-ai/toxicity
  name: Surge Toxicity Dataset
- type: Blog
  url: https://www.surgehq.ai/blog
- type: Support
  url: https://surgehq.ai/contact
- type: TermsOfService
  url: https://surgehq.ai/terms-of-service
- type: PrivacyPolicy
  url: https://surgehq.ai/privacy-policy
- type: StatusPage
  url: https://status.surgehq.ai/
- type: Guides
  url: https://surgehq.ai/guides
  name: Enterprise Guides
- type: Login
  url: https://app.surgehq.ai/customers/sign_in
- type: Careers
  url: https://surgehq.ai/careers
- type: LinkedIn
  url: https://www.linkedin.com/company/surge-ai/
- type: X
  url: https://x.com/HelloSurgeAI
- type: Features
  data:
  - name: Surge REST API
    description: Endpoints for projects, tasks, and blueprints, with API-key authentication.
  - name: Python SDK
    description: Official surge-python SDK on PyPI, MIT-licensed, Python 3.10+.
  - name: RL Environments and Agents
    description: Complex environments that challenge agentic models.
  - name: Rubrics and Verifiers
    description: Scoring systems for AI outputs across domains.
  - name: RLHF and SFT
    description: Preference, reward, and demonstration data for foundation-model training.
  - name: Human Evaluation
    description: Expert workforce grades AI output quality.
  - name: Expert Professional Domains
    description: Specialized expertise across finance, law, medicine, and more.
  - name: 70+ Languages
    description: Internationalization coverage spanning more than 70 languages.
  - name: Multimodal Data
    description: Image, audio, and video collection and labeling.
  - name: Off-The-Shelf Datasets
    description: Pre-built datasets available for licensing.
  - name: Open Datasets
    description: Public releases including the world's largest social-media toxicity dataset.
- type: UseCases
  data:
  - name: Frontier Model RLHF
    description: Preference and reward data for reinforcement learning from human feedback.
  - name: Supervised Fine-Tuning
    description: Demonstration data for SFT across professional domains.
  - name: Agentic Evals
    description: Benchmark agents in complex RL environments with structured rubrics.
  - name: Multilingual Model Evaluation
    description: Evaluate model quality across 70+ languages.
  - name: Trust and Safety Research
    description: Use the toxicity dataset and human evaluation pipelines for trust and safety work.
- type: Integrations
  data:
  - name: Python SDK
    description: Programmatic integration via the official surge-python SDK.
  - name: API Key Authentication
    description: Standard API-key auth (SURGE_API_KEY env var or programmatic configuration).
  - name: Custom Project Blueprints
    description: Use Surge blueprints as templates for new labeling projects.
- type: UsageTerms
  url: terms/surge-ai-terms-of-service.yml
- type: DataProcessing
  url: privacy/surge-ai-privacy-policy.yml
- type: Eligibility
  url: eligibility/surge-ai-eligibility.yml
- type: AIPreferences
  url: ai-preferences/surge-ai-ai-preferences.yml
- type: DataLicense
  url: data-license/surge-ai-data-license.yml
apis:
- aid: surge-ai:surge-api
  name: Surge API
  description: 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 (create, list, retrieve individual tasks), and blueprints
    (list and use as templates for new projects). Authentication uses an API key sourced from the user's Surge profile, passed
    via the SURGE_API_KEY environment variable or set explicitly on the client. The reference is published in the Surge dashboard
    at app.surgehq.ai/docs/api.
  humanURL: https://app.surgehq.ai/docs/api
  baseURL: https://app.surgehq.ai/api
  tags:
  - REST API
  - Project
  - Task
  - Blueprints
  tags_raw:
  - REST API
  - Projects
  - Tasks
  - Blueprints
  properties:
  - type: Documentation
    url: https://app.surgehq.ai/docs/api
  - type: APIReference
    url: https://app.surgehq.ai/docs/api
  - type: Authentication
    url: https://app.surgehq.ai/docs/api
  - type: SDKs
    url: https://github.com/surge-ai/surge-python
- aid: surge-ai:surge-python-sdk
  name: Surge Python SDK
  description: 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 environment variable.
  humanURL: https://github.com/surge-ai/surge-python
  tags:
  - SDK
  - Python
  - Open Source
  tags_raw:
  - SDK
  - Python
  - Open Source
  - Open-Source
  properties:
  - type: GitHubRepository
    url: https://github.com/surge-ai/surge-python
  - type: SDKs
    url: https://pypi.org/project/surge-api/
- aid: surge-ai:surge-rl-environments
  name: Surge RL Environments and Agents
  description: Surge's product surface for delivering complex reinforcement-learning environments and agents that challenge
    and evaluate agentic models.
  humanURL: https://www.surgehq.ai/products
  tags:
  - RL Environments
  - Agents
  - Evals
  properties:
  - type: Documentation
    url: https://www.surgehq.ai/products
- aid: surge-ai:surge-rubrics-verifiers
  name: Surge Rubrics and Verifiers
  description: Scoring rubrics and automated verifiers for grading AI outputs across domains.
  humanURL: https://www.surgehq.ai/products
  tags:
  - Rubrics
  - Verifiers
  - Evals
  properties:
  - type: Documentation
    url: https://www.surgehq.ai/products
- aid: surge-ai:surge-rlhf
  name: Surge RLHF
  description: Preference and reward data for reinforcement learning from human feedback.
  humanURL: https://www.surgehq.ai/products
  tags:
  - RLHF
  - Preference Data
  properties:
  - type: Documentation
    url: https://www.surgehq.ai/products
- aid: surge-ai:surge-sft
  name: Surge SFT
  description: Foundational-skill demonstration data for supervised fine-tuning.
  humanURL: https://www.surgehq.ai/products
  tags:
  - SFT
  - Fine-Tuning
  properties:
  - type: Documentation
    url: https://www.surgehq.ai/products
- aid: surge-ai:surge-human-evaluation
  name: Surge Human Evaluation
  description: Quality assessment of AI outputs by Surge's expert workforce.
  humanURL: https://www.surgehq.ai/products
  tags:
  - Human Evaluation
  - Quality
  properties:
  - type: Documentation
    url: https://www.surgehq.ai/products
- aid: surge-ai:surge-multimodal
  name: Surge Multimodal Data
  description: Image, audio, and video data collection and labeling.
  humanURL: https://www.surgehq.ai/products
  tags:
  - Multi-Modal
  - Image
  - Audio
  - Video
  tags_raw:
  - Multimodal
  - Image
  - Audio
  - Video
  properties:
  - type: Documentation
    url: https://www.surgehq.ai/products
- aid: surge-ai:surge-internationalization
  name: Surge Internationalization
  description: Multilingual data across 70+ languages for localization, translation, and multilingual model evaluation.
  humanURL: https://www.surgehq.ai/products
  tags:
  - Internationalization
  - Multilingual
  - Translation
  properties:
  - type: Documentation
    url: https://www.surgehq.ai/products
- aid: surge-ai:surge-off-the-shelf-data
  name: Surge Off-The-Shelf Data
  description: Pre-built datasets ready for licensing and download.
  humanURL: https://www.surgehq.ai/products
  tags:
  - Datasets
  - Pre-Built Data
  properties:
  - type: Documentation
    url: https://www.surgehq.ai/products
- aid: surge-ai:surge-toxicity-dataset
  name: Surge Toxicity Dataset
  description: The world's largest open social-media toxicity dataset, published under MIT license.
  humanURL: https://github.com/surge-ai/toxicity
  tags:
  - Datasets
  - Open Data
  - Toxicity
  - Trust and Safety
  tags_raw:
  - Dataset
  - Open Data
  - Toxicity
  - Trust and Safety
  properties:
  - type: GitHubRepository
    url: https://github.com/surge-ai/toxicity
- aid: surge-ai:surge-ai-projects-api
  name: Surge AI Projects API
  description: The Projects API from Surge AI — 9 operation(s) for projects.
  humanURL: https://app.surgehq.ai/docs/api
  baseURL: https://app.surgehq.ai/api
  tags:
  - Project
  tags_raw:
  - Projects
  properties:
  - type: OpenAPI
    url: openapi/surge-ai-projects-api-openapi.yml
  - type: JSONSchema
    url: json-schema/surge-ai-project-create-schema.json
  - type: JSONSchema
    url: json-schema/surge-ai-project-schema.json
  - type: JSONSchema
    url: json-schema/surge-ai-project-update-schema.json
- aid: surge-ai:surge-ai-tasks-api
  name: Surge AI Tasks API
  description: The Tasks API from Surge AI — 5 operation(s) for tasks.
  humanURL: https://app.surgehq.ai/docs/api
  baseURL: https://app.surgehq.ai/api
  tags:
  - Task
  tags_raw:
  - Tasks
  properties:
  - type: OpenAPI
    url: openapi/surge-ai-tasks-api-openapi.yml
  - type: JSONSchema
    url: json-schema/surge-ai-task-schema.json
  - type: JSONSchema
    url: json-schema/surge-ai-task-create-schema.json
- aid: surge-ai:surge-ai-teams-api
  name: Surge AI Teams API
  description: The Teams API from Surge AI — 1 operation(s) for teams.
  humanURL: https://app.surgehq.ai/docs/api
  baseURL: https://app.surgehq.ai/api
  tags:
  - Team
  tags_raw:
  - Teams
  properties:
  - type: OpenAPI
    url: openapi/surge-ai-teams-api-openapi.yml
  - type: JSONSchema
    url: json-schema/surge-ai-team-schema.json
x-coverage:
  state: gated
  reason: customer-only-docs
  detail: Surge's API reference at app.surgehq.ai/docs/api redirects to app.surgehq.ai/customers/sign_in, so the only public
    description of the API is the open-source surge-python SDK.
  evidence:
  - url: https://app.surgehq.ai/docs/api
    status: 200
  - url: https://app.surgehq.ai/openapi.json
    status: 404
  - url: https://app.surgehq.ai/api/openapi.json
    status: 404
  checked: '2026-10-27'
x-enrichment:
  date: '2026-10-27'
  status: nochange
  artifacts_added: 0
  pass: modular-v1
  engine: identity=anthropic,contract=anthropic,surfaces=anthropic,docs=anthropic,regulatory=anthropic

Surge AI API — frequently asked questions

Does Surge AI have an API?

Yes. APIs.io lists 14 APIs from Surge AI, including Surge API, Surge Python SDK and Surge RL Environments and Agents, and 11 more.

Is there an OpenAPI specification for the Surge AI API?

Yes. APIs.io indexes 3 OpenAPI specifications for Surge AI, each linked for download from this page.

How do I authenticate with the Surge AI API?

Surge AI uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Surge AI Authentication.

Is the Surge AI API ready for AI agents?

Surge AI has a Kin Score of 41.9 out of 100 (developing) and an Agent Readiness score of 21.2 (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/surge-ai"

All providers

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

Every operation they expose

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

How their score was established

curl "https://apis.io/api/v1/providers/surge-ai/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.