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
47.9/100 developing ▬ flat Agent 63/100 agent ready Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
1 APIs 1 MCP Servers
Companyrecruitinghiringai-interviewstalent-assessmentcandidate-screeningapplicant-trackinghuman-resourcesproctoringwebhooksagent-nativeai-training-data

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 47.9/100 · developing
Contract Quality 16.5 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 6.8 / 20
Operational Transparency 1.0 / 13
Governance 1.4 / 12
Discoverability 8.7 / 10
Agent readiness — 63/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
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 4 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 8 / 8
Dry-Run / Simulate Mode 0 / 4
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.

micro1 Public API

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...

MCP Servers 1

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

micro1-mcp.yml

MCP SERVER

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Micro1 Webhooks

ASYNCAPI

Security Posture 2

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

Micro1 Authentication

apiKey · 1 scheme

SECURITY

Micro1 Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

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

Micro1 Agentic Access

18 operations · 10 acting

18 operations · 10 acting

AGENTIC

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 SignUp
SignUp
 Login
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
LLMsTxt
 WellKnown
WellKnown
 MCPServer
MCPServer
 AgentSkill
AgentSkill
 AgenticAccess
AgenticAccess

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Conventions
Conventions
 Conformance
Conformance
 ErrorCatalog
ErrorCatalog
 Lifecycle
Lifecycle
 DataModel
DataModel
 Webhooks
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)

apis.yml Raw ↑ 
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: '0.21'
created: '2026-07-31'
modified: '2026-07-31'
tags:
- 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
  - 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