Mercor
Mercor is an AI-powered talent and human-intelligence marketplace that organizes expert humans to power frontier AI work. 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 ships APEX, a public research and benchmarking suite — APEX Benchmarks (AI Productivity Index), APEX-Agents Leaderboard, and APEX-SWE Leaderboard. Mercor maintains documentation hubs at mercor.com/docs and talent.docs.mercor.com (the expert-facing help center), and exposes a developer-facing documentation surface at mercor.com/docs/api. Public API endpoint details are not advertised on the open web at this time; this profile documents the product and documentation surfaces rather than endpoint shapes.
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 Mercor the way a machine reads it — 24 machine-readable artifacts across 7 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 — Mercor scores 24.0/100 (emerging), with a separate agent-readiness read of 7/100 (human only). 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 Mercor
Each block below is one kind of artifact we hold for Mercor. 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 7
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.
Mercor Talent Marketplace
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...
Mercor Data Pipelines
Mercor's managed data-pipeline product for designing and operating large, expert-driven labeling and evaluation pipelines for AI training data.
Mercor API
Mercor's developer-facing API documentation surface. Endpoint shapes and authentication details are not currently published openly; access is via Mercor's enterprise sales process.
APEX Benchmarks (AI Productivity Index)
Mercor's public AI productivity benchmark and research surface. APEX measures how well AI models perform real expert-grade work.
APEX-Agents Leaderboard
Public leaderboard for AI agent performance run by Mercor's research team.
APEX-SWE Leaderboard
Public leaderboard for AI software-engineering performance run by Mercor's research team.
Terminal-Bench
Public benchmark / task-submission framework published by Mercor (terminal-bench-3 on GitHub) for evaluating AI agents on terminal-based engineering tasks.
Scroll within the panel for all 7 ·
Pricing 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.
Mercor Plans Pricing
PLANSRate 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.
Mercor 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.
Mercor Finops
FINOPSFeatures 6
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.
AI Talent Marketplace
Routes expert humans across software engineering, finance, healthcare, legal, and consulting into AI lab and enterprise projects.
RLHF and SFT Data
Provides preference, reward, and demonstration data for foundation-model training.
Agent Training Data
Specialist data for training and evaluating AI agents.
Managed Data Pipelines
End-to-end design and operation of expert-driven labeling and evaluation pipelines.
APEX Research Suite
Public benchmarks (AI Productivity Index, APEX-Agents, APEX-SWE) measuring real-world AI performance.
Terminal-Bench
Open-source benchmark and task-submission framework for AI agents on terminal engineering tasks.
Security Posture 1
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.
Use Cases 4
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
Source preference and reward data from domain experts for RLHF.
Expert SFT Data
Capture demonstrations of expert workflows for supervised fine-tuning.
AI Agent Evaluation
Benchmark agent performance against expert-graded tasks via APEX and Terminal-Bench.
Enterprise Data Engineering
Stand up managed labeling and evaluation pipelines for enterprise AI programs.
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.
Slack
Expert workflows and team coordination run over Slack channels.
GitHub
Engineering experts integrate with customer GitHub repositories for code-related work.
Custom Data Pipelines
Mercor designs custom ingest and delivery pipelines per customer engagement.
Resources
Every other property we hold for Mercor — 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 3
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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