Meteor (usemeteor.ai)

Meteor (usemeteor.ai) provides an AI-driven job application platform that automatically matches users with relevant job openings, tailors resumes, and submits applications through supported job portals. Leveraging large language models, it streamlines the job search process for immigrants and international students, offering a free tier and paid credits for advanced features.

Meteor (usemeteor.ai) is profiled on the APIs.io network. Tagged areas include Artificial Intelligence, Job Search, Automation, Immigration, and Resume.

Meteor (usemeteor.ai)’s developer surface includes pricing, documentation, engineering blog, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

15.6/100 emerging ▼ -6.2 Agent 22/100 agent aware Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFree

0 APIs 1 MCP Servers

Artificial Intelligence Job Search Automation Immigration Resume Company

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 15.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.0 / 17

Access Clarity 7.4 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.0 / 9

Regulatory Posture 2.2 / 15

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) 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.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

8 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 6.0 — up to +18.8 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points

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.

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/usemeteor-ai/apis.yml: open an issue on github.com/api-evangelist/usemeteor-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 3

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

MCP Servers 1

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

Meteor (usemeteor.ai) MCP Server

Remote MCP server at usemeteor.ai requiring OAuth.

MCP SERVER

Meteor (usemeteor.ai) API pricing

Prices published by Meteor (usemeteor.ai). A free plan or tier is listed.

Plan	Price
Free	Free

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Usemeteor Ai Plans Pricing

1 plans

PLANS

Security Posture 1

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

Usemeteor Ai Domain Security

TLSv1.3

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

WellKnown

WellKnown

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

PrivacyPolicy

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: usemeteor-ai
name: Meteor (usemeteor.ai)
accessModel:
  pricing: free
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Free
  confidence: low
  probe_state: unreadable
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://usemeteor.ai/opengraph-image
description: Meteor (usemeteor.ai) provides an AI-driven job application platform that automatically matches users with relevant
  job openings, tailors resumes, and submits applications through supported job portals. Leveraging large language models,
  it streamlines the job search process for immigrants and international students, offering a free tier and paid credits for
  advanced features.
url: https://raw.githubusercontent.com/api-evangelist/usemeteor-ai/refs/heads/main/apis.yml
x-type: company
x-source: harvest:new-submission
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-18 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-17'
modified: '2026-10-17'
tags:
- Artificial Intelligence
- Job Search
- Automation
- Immigration
- Resume
- Company
tags_raw:
- AI
- JobSearch
- Automation
- Immigration
- Resume
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/usemeteor-ai-plans-pricing.yml
- type: LLMsTxt
  url: llms/usemeteor-ai-llms.txt
- type: MCPServer
  url: mcp/usemeteor-ai-mcp.yml
- type: WellKnown
  url: well-known/usemeteor-ai-well-known.yml
- type: Hosts
  url: hosts/usemeteor-ai-hosts.yml
- type: Vendors
  url: vendors/usemeteor-ai-vendors.yml
- type: Pricing
  url: https://usemeteor.ai/pricing
- type: Login
  url: https://usemeteor.ai/signin
- type: DomainSecurity
  url: security/usemeteor-ai-domain-security.yml
- type: Website
  url: https://usemeteor.ai
- type: Documentation
  url: https://usemeteor.ai/connect
- type: Blog
  url: https://usemeteor.ai/blog
- type: PrivacyPolicy
  url: https://usemeteor.ai/privacy
- type: TermsOfService
  url: https://usemeteor.ai/terms
apis: []
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: The provider's documentation at /connect is HTML without a machine‑readable OpenAPI, GraphQL, or other contract.
  evidence:
  - url: https://usemeteor.ai/connect
    status: 200
  checked: '2026-10-18'
x-submission-notes: 'Slug usemeteor-ai: all/meteor is Meteor.js (meteor.com), a different company. AI agent that applies to
  jobs (immigrants/international students). Hosted MCP https://usemeteor.ai/api/mcp (OAuth; requires account, onboarding and
  application credits); setup guide /connect. Founder asked for a free provider/MCP entry.'
x-submission-probe: site + /connect 200; MCP /api/mcp 401 Bearer with RFC 9728 resource_metadata; invented path 404
x-submitted-by: muskan@usemeteor.ai (email, 2026-10-14)
x-enrichment:
  date: '2026-10-18'
  status: enriched
  artifacts_added: 13
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Meteor (usemeteor.ai) API — frequently asked questions

How much does the Meteor (usemeteor.ai) API cost?

APIs.io lists 1 pricing plan for Meteor (usemeteor.ai), with each plan's price, limits and inclusions under Pricing on this page.

Does Meteor (usemeteor.ai) have an MCP server?

Yes. APIs.io lists 1 MCP server for Meteor (usemeteor.ai): Remote MCP server at usemeteor.ai requiring OAuth.

Is the Meteor (usemeteor.ai) API ready for AI agents?

Meteor (usemeteor.ai) has a Kin Score of 15.6 out of 100 (emerging) and an Agent Readiness score of 22.2 (agent-aware), scored by API Evangelist on 2026-11-06.

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.

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