Mercor

aid: mercor
name: Mercor
description: 'Mercor is an AI-powered talent and human-intelligence marketplace that organizes expert humans to power frontier
  AI work (its site: "organizing human intelligence to power the AI economy"). The platform routes specialized professionals
  (software engineers, finance and investment-banking experts, clinicians, attorneys, generalist consultants) to AI labs and
  enterprises for RLHF data, SFT data, agent training, evals, frontier research, and managed data pipelines. Mercor also publishes
  APEX, a public research and benchmarking suite (AI Productivity Index, APEX-Agents, APEX-SWE and partner leaderboards).
  Mercor maintains guides at mercor.com/docs, an expert-facing help center at talent.docs.mercor.com, and a trust center at
  trust.mercor.com. No public API reference is published: mercor.com/docs/api/ returns a not-found page (checked 2026-10-27).'
type: Index
deliveryModel:
  model: saas
  license_evidence:
    not_product:
    - mercor-io/terminal-bench-3
  open_source: unknown
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: low
  source:
  - pricing
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: low
  probe_state: gated
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/mercor.png
tags:
- Talent Marketplace
- Human Intelligence
- RLHF
- SFT
- AI Evals
- Data Pipeline
- APEX Benchmarks
tags_raw:
- Talent Marketplace
- Human Intelligence
- RLHF
- SFT
- AI Evals
- Data Pipelines
- APEX Benchmarks
url: https://raw.githubusercontent.com/api-evangelist/mercor/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: Conformance
  url: conformance/mercor-conformance.yml
- type: LLMsTxt
  url: llms/mercor-www-llms.txt
- type: LLMsTxt
  url: llms/mercor-llms.txt
- type: AgentCard
  url: a2a/mercor-a2a.yml
- type: WellKnown
  url: well-known/mercor-well-known.yml
- type: Hosts
  url: hosts/mercor-hosts.yml
- type: Vendors
  url: vendors/mercor-vendors.yml
- type: FinOps
  url: finops/mercor-finops.yml
- type: Website
  url: https://www.mercor.com/
- type: DomainSecurity
  url: security/mercor-domain-security.yml
- type: Portal
  url: https://www.mercor.com
- type: Documentation
  url: https://www.mercor.com/docs/
- type: Documentation
  url: https://talent.docs.mercor.com
  name: Mercor Talent Help Center
- type: Blog
  url: https://www.mercor.com/blog/
- type: Careers
  url: https://www.mercor.com/careers/
- type: GitHubOrganization
  url: https://github.com/Mercor-io
- type: Signup
  url: https://www.mercor.com/experts/
  name: Expert Sign-Up
- type: Support
  url: https://talent.docs.mercor.com/
  name: Mercor Help Center
- type: X
  url: https://x.com/mercor
- type: GitHubOrganization
  url: https://github.com/Mercor-Intelligence
  name: Mercor Intelligence
- type: GettingStarted
  url: https://talent.docs.mercor.com/working/getting-started
- type: Login
  url: https://work.mercor.com/login
- type: TermsOfService
  url: https://www.mercor.com/terms-of-service/
- type: PrivacyPolicy
  url: https://www.mercor.com/privacy-notice/
- type: TrustCenter
  url: https://trust.mercor.com/
- type: Newsroom
  url: https://www.mercor.com/newsroom/
- type: Contact
  url: https://www.mercor.com/partner/
- type: LinkedIn
  url: https://www.linkedin.com/company/mercor-ai/
- type: YouTube
  url: https://www.youtube.com/@mercor-ai
- type: Features
  data:
  - name: AI Talent Marketplace
    description: Routes expert humans across software engineering, finance, healthcare, legal, and consulting into AI lab
      and enterprise projects.
  - name: RLHF and SFT Data
    description: Provides preference, reward, and demonstration data for foundation-model training.
  - name: Agent Training Data
    description: Specialist data for training and evaluating AI agents.
  - name: Managed Data Pipelines
    description: End-to-end design and operation of expert-driven labeling and evaluation pipelines.
  - name: APEX Research Suite
    description: Public benchmarks (AI Productivity Index, APEX-Agents, APEX-SWE) measuring real-world AI performance.
  - name: Terminal-Bench
    description: Open-source benchmark and task-submission framework for AI agents on terminal engineering tasks.
- type: UseCases
  data:
  - name: Frontier Model RLHF
    description: Source preference and reward data from domain experts for RLHF.
  - name: Expert SFT Data
    description: Capture demonstrations of expert workflows for supervised fine-tuning.
  - name: AI Agent Evaluation
    description: Benchmark agent performance against expert-graded tasks via APEX and Terminal-Bench.
  - name: Enterprise Data Engineering
    description: Stand up managed labeling and evaluation pipelines for enterprise AI programs.
- type: Integrations
  data:
  - name: Slack
    description: Expert workflows and team coordination run over Slack channels.
  - name: GitHub
    description: Engineering experts integrate with customer GitHub repositories for code-related work.
  - name: Custom Data Pipelines
    description: Mercor designs custom ingest and delivery pipelines per customer engagement.
- type: LlmsText
  url: https://talent.docs.mercor.com/llms.txt
- type: UsageTerms
  url: terms/mercor-terms-of-service.yml
- type: DataProcessing
  url: privacy/mercor-privacy-policy.yml
- type: Attestations
  url: compliance/mercor-compliance.yml
- type: Eligibility
  url: eligibility/mercor-eligibility.yml
- type: AIPreferences
  url: ai-preferences/mercor-ai-preferences.yml
- type: DataLicense
  url: data-license/mercor-data-license.yml
apis:
- aid: mercor:mercor-platform
  name: Mercor Talent Marketplace
  description: The core Mercor platform that matches expert humans to AI lab and enterprise demand for RLHF, SFT, evals, agent
    training, and frontier research projects. Domains covered include software engineering, finance and investment banking,
    healthcare and clinical, legal, and generalist consulting.
  humanURL: https://www.mercor.com
  tags:
  - Talent Marketplace
  - Human Intelligence
  - AI Training Data
  properties:
  - type: Documentation
    url: https://www.mercor.com/docs
  - type: GettingStarted
    url: https://talent.docs.mercor.com/working/getting-started
- aid: mercor:mercor-data-pipelines
  name: Mercor Data Pipelines
  description: Mercor's managed data-pipeline product for designing and operating large, expert-driven labeling and evaluation
    pipelines for AI training data.
  humanURL: https://www.mercor.com/docs/designing-a-data-pipeline/
  tags:
  - Data Pipeline
  - Labeling
  - Managed Service
  tags_raw:
  - Data Pipelines
  - Labeling
  - Managed Service
  properties:
  - type: Documentation
    url: https://www.mercor.com/docs/designing-a-data-pipeline/
- aid: mercor:apex-benchmarks
  name: APEX Benchmarks (AI Productivity Index)
  description: Mercor's public AI productivity benchmark and research surface. APEX measures how well AI models perform real
    expert-grade work.
  humanURL: https://www.mercor.com/apex/
  tags:
  - Benchmarks
  - Research
  - Evals
  properties:
  - type: Documentation
    url: https://www.mercor.com/apex/
- aid: mercor:apex-agents-leaderboard
  name: APEX-Agents Leaderboard
  description: Public leaderboard for AI agent performance run by Mercor's research team.
  humanURL: https://www.mercor.com/apex/apex-agents-leaderboard/
  tags:
  - Leaderboards
  - Agents
  - Evals
  tags_raw:
  - Leaderboard
  - Agents
  - Evals
  properties:
  - type: Documentation
    url: https://www.mercor.com/apex/apex-agents-leaderboard/
- aid: mercor:apex-swe-leaderboard
  name: APEX-SWE Leaderboard
  description: Public leaderboard for AI software-engineering performance run by Mercor's research team.
  humanURL: https://www.mercor.com/apex/apex-swe-leaderboard/
  tags:
  - Leaderboards
  - Software Engineering
  - Evals
  tags_raw:
  - Leaderboard
  - Software Engineering
  - Evals
  properties:
  - type: Documentation
    url: https://www.mercor.com/apex/apex-swe-leaderboard/
  - type: GitHubRepository
    url: https://github.com/Mercor-Intelligence/apex-swe
- aid: mercor:terminal-bench
  name: Terminal-Bench
  description: Public benchmark / task-submission framework published by Mercor (terminal-bench-3 on GitHub) for evaluating
    AI agents on terminal-based engineering tasks.
  humanURL: https://github.com/Mercor-io/terminal-bench-3
  tags:
  - Benchmarks
  - Agents
  - Open Source
  tags_raw:
  - Benchmarks
  - Agents
  - Open Source
  - Open-Source
  properties:
  - type: GitHubRepository
    url: https://github.com/Mercor-io/terminal-bench-3
x-coverage:
  state: gated
  reason: customer-only-docs
  detail: Mercor's Mintlify docs host docs.mercor.com 307-redirects every path, including /openapi.json and /api-reference,
    to /login, and its /mcp answers 401, while the public www.mercor.com/docs/api/ is a soft-404 page.
  evidence:
  - url: https://docs.mercor.com/openapi.json
    status: 307
  - url: https://docs.mercor.com/api-reference
    status: 307
  - url: https://docs.mercor.com/mcp
    status: 401
  - url: https://www.mercor.com/docs/api/
    status: 200
  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