micro1

micro1 is an AI-native talent and human-data company. Its AI recruiter, Zara, runs conversational technical interviews at scale — generating role-specific questions from the skills you want tested, branching in real time, adding an optional coding exercise, and returning a structured report with per-skill AI ratings, CEFR-style soft-skill scores, a proctoring integrity score, transcripts and session recordings. The company also operates an expert-human-data business (Realm reinforcement- learning environments, Cortex agent evaluations, and robotics data collection) that supplies training and evaluation data to frontier AI labs. The micro1 Public API exposes the AI-interview platform: create standard or custom-question interviews, invite candidates, list jobs and job applicants, retrieve completed reports and recordings, and register webhooks so an ATS is notified in real time when interviews start, reports are generated, recordings finish processing, or resume scores land.

micro1 publishes 1 API on the APIs.io network: Public API. Tagged areas include Company, Recruiting, Hiring, AI Interviews, and Talent Assessment.

The micro1 catalog on APIs.io includes 1 event-driven AsyncAPI specification.

micro1’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, signup flow, authentication, and 20 more developer resources.

🌐 Visit website 📡 Source on GitHub

44.8/100 developing ▬ flat Agent 42/100 agent ready Full breakdown ↓
scored 2026-08-25 · rubric v0.14.0

1 APIs 1 MCP Servers

Company Recruiting Hiring AI Interviews Talent Assessment Candidate Screening Applicant Tracking Human Resources Proctoring Webhook agent-native AI Training Data

Kin Score

Kin Score How this is scored →
scored 2026-08-25 · rubric v0.14.0

Composite quality — 44.8/100 · developing

Contract Quality 15.8 / 25

Developer Ergonomics 12.9 / 20

Access Clarity 5.5 / 20

Operational Transparency 1.0 / 13

Contract Governance 2.0 / 12

Discoverability 7.6 / 10

Agent readiness — 42/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 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 Surface 0 / 5

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/micro1: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

WellKnown

MCPServer

AgentSkill

AgenticAccess

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Conventions

Conformance

ErrorCatalog

Lifecycle

DataModel

Webhooks

Build 1

SDKs, sample code, and the tooling you integrate with

ToolCrosswalk

ToolCrosswalk

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

AgentCard

AgentCard

Overlay

Overlay

Source (apis.yml)

aid: micro1
name: micro1
description: 'micro1 is an AI-native talent and human-data company. Its AI recruiter, Zara, runs conversational technical
  interviews at scale — generating role-specific questions from the skills you want tested, branching in real time, adding
  an optional coding exercise, and returning a structured report with per-skill AI ratings, CEFR-style soft-skill scores,
  a proctoring integrity score, transcripts and session recordings. The company also operates an expert-human-data business
  (Realm reinforcement- learning environments, Cortex agent evaluations, and robotics data collection) that supplies training
  and evaluation data to frontier AI labs. The micro1 Public API exposes the AI-interview platform: create standard or custom-question
  interviews, invite candidates, list jobs and job applicants, retrieve completed reports and recordings, and register webhooks
  so an ATS is notified in real time when interviews start, reports are generated, recordings finish processing, or resume
  scores land.'
url: https://raw.githubusercontent.com/api-evangelist/micro1/refs/heads/main/apis.yml
image: https://cdn.prod.website-files.com/6a04bd23eb9d40f76dac1249/6a21b7903ec396493b15c2a1_OG%20(52)%20(1).jpg
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.23'
created: '2026-07-31'
modified: '2026-07-31'
tags:
- Company
- Recruiting
- Hiring
- AI Interviews
- Talent Assessment
- Candidate Screening
- Applicant Tracking
- Human Resources
- Proctoring
- Webhook
- agent-native
- AI Training Data
tags_raw:
- Company
- recruiting
- hiring
- ai-interviews
- talent-assessment
- candidate-screening
- applicant-tracking
- human-resources
- proctoring
- webhooks
- agent-native
- ai-training-data
apis:
- name: micro1 Public API
  description: The micro1 AI Recruiter public REST API. Create conversational AI interviews from a skill list (or from your
    own custom questions), preview the questions the AI will ask, invite candidates by email, list jobs and job applicants,
    pull completed interview reports (per-skill technical ratings, soft skills, coding evaluation, proctoring score and violations,
    full transcript) and interview recordings, and manage webhook subscriptions for the platform's nine event types. Authenticated
    with an `x-api-key` header issued from the micro1 dashboard.
  humanURL: https://ai-recruiter.micro1.ai/api-reference/getting-started/introduction
  baseURL: https://public.api.micro1.ai
  tags:
  - Recruiting
  - Hiring
  - AI Interviews
  - Talent Assessment
  - Candidate Screening
  - Applicant Tracking
  - Proctoring
  - Webhook
  tags_raw:
  - recruiting
  - hiring
  - ai-interviews
  - talent-assessment
  - candidate-screening
  - applicant-tracking
  - proctoring
  - webhooks
  properties:
  - type: OpenAPI
    url: openapi/micro1-ai-recruiter-openapi.yml
  - type: OpenAPI
    url: openapi/_original/micro1-ai-recruiter-openapi-original.json
  - type: Documentation
    url: https://ai-recruiter.micro1.ai/
  - type: APIReference
    url: https://ai-recruiter.micro1.ai/api-reference/getting-started/introduction
  - type: GettingStarted
    url: https://ai-recruiter.micro1.ai/api-reference/getting-started/introduction
  - type: Authentication
    url: authentication/micro1-authentication.yml
  - type: Conventions
    url: conventions/micro1-conventions.yml
  - type: ErrorCatalog
    url: errors/micro1-problem-types.yml
  - type: DataModel
    url: data-model/micro1-data-model.yml
  - type: Webhooks
    url: asyncapi/micro1-webhooks.yml
  - type: Overlay
    url: overlays/micro1-ai-recruiter-overlay.yaml
  - type: MCPServer
    url: mcp/micro1-mcp.yml
  - type: ToolCrosswalk
    url: mcp/micro1-tool-crosswalk.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.micro1.ai/
- type: DeveloperPortal
  url: https://ai-recruiter.micro1.ai/
- type: Documentation
  url: https://ai-recruiter.micro1.ai/
- type: APIReference
  url: https://ai-recruiter.micro1.ai/api-reference/getting-started/introduction
- type: GettingStarted
  url: https://ai-recruiter.micro1.ai/api-reference/getting-started/introduction
- type: Blog
  url: https://www.micro1.ai/blog
- type: Support
  url: mailto:support@micro1.ai
- type: SignUp
  url: https://www.zara.micro1.ai/
- type: Login
  url: https://talent.micro1.ai/login
- type: TermsOfService
  url: https://www.micro1.ai/legal
- type: PrivacyPolicy
  url: https://www.micro1.ai/legal/privacy-policy
- type: LLMsTxt
  url: llms/micro1-llms.txt
- type: WellKnown
  url: well-known/micro1-well-known.yml
- type: AgentCard
  url: a2a/micro1-a2a.yml
- type: MCPServer
  url: mcp/micro1-mcp.yml
- type: ToolCrosswalk
  url: mcp/micro1-tool-crosswalk.yml
- type: AgentSkill
  url: skills/_index.yml
- type: AgenticAccess
  url: agentic-access/micro1-agentic-access.yml
- type: Authentication
  url: authentication/micro1-authentication.yml
- type: Conventions
  url: conventions/micro1-conventions.yml
- type: Conformance
  url: conformance/micro1-conformance.yml
- type: ErrorCatalog
  url: errors/micro1-problem-types.yml
- type: Lifecycle
  url: lifecycle/micro1-lifecycle.yml
- type: DataModel
  url: data-model/micro1-data-model.yml
- type: Webhooks
  url: asyncapi/micro1-webhooks.yml
- type: Overlay
  url: overlays/micro1-ai-recruiter-overlay.yaml
- type: DomainSecurity
  url: security/micro1-domain-security.yml
x-enrichment:
  date: '2026-07-31'
  status: enriched
  artifacts_added: 24
  pass: local-v1

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micro1

Kin Score

APIs 1

micro1 Public API

Open Collections 1

micro1 Public API

MCP Servers 1

micro1 API

Event Specifications 1

Micro1 Webhooks

Security Posture 2

Micro1 Authentication

Micro1 Domain Security

Agentic Access 1

Micro1 Agentic Access

Resources