FrontStat

FrontStat provides an AI visibility tracking service for startups, allowing them to see within seconds whether large language models like ChatGPT, Claude, and Gemini recommend their product. The platform aggregates model recommendations, highlights naming discrepancies, and offers actionable fixes to improve AI-driven discoverability.

FrontStat is profiled on the APIs.io network. Tagged areas include Artificial Intelligence, Visibility, Startups, Analytics, and Platform.

FrontStat’s developer surface includes documentation, getting-started guide, pricing, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

19.3/100 emerging Agent 7/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreemium

0 APIs 1 MCP Servers

Artificial Intelligence Visibility Startups Analytics Platform Company

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 19.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 4.7 / 17

Access Clarity 9.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.5 / 15

Agent readiness — 7/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 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 5 / 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 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 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 Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →

11 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 Ask about this →
Developer Ergonomics scores 27.9 — up to +14.4 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/frontstat-com/apis.yml: open an issue on github.com/api-evangelist/frontstat-com 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 1

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)

MCP Servers 1

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

FrontStat MCP Server

Remote MCP server at frontstat.com.

MCP SERVER

FrontStat API pricing

Prices published by FrontStat, read 2026-11-08 from frontstat.com/pricing.

Plan	Price
Free	$0
Lite	$29/month
Pro	$39/month

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

FrontStat Plans Pricing

3 plans

PLANS

Security Posture 1

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

FrontStat Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Login

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

MCPServer

MCPServer

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

PrivacyPolicy

PrivacyPolicy

Pricing

Pricing

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: frontstat-com
name: FrontStat
description: FrontStat provides an AI visibility tracking service for startups, allowing them to see within seconds whether
  large language models like ChatGPT, Claude, and Gemini recommend their product. The platform aggregates model recommendations,
  highlights naming discrepancies, and offers actionable fixes to improve AI-driven discoverability.
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  probe_state: unreadable
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
image: https://frontstat.com/brand/frontstat-mark.svg
url: https://artifacts.apis.io/frontstat-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-08 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-08'
modified: '2026-11-08'
tags:
- Artificial Intelligence
- Visibility
- Startups
- Analytics
- Platform
- Company
tags_raw:
- AI
- Visibility
- Startup
- Analytics
- Platform
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/frontstat-com-plans-pricing.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/frontstat-com-llms.txt
- type: MCPServer
  url: mcp/frontstat-com-mcp.yml
- type: Hosts
  url: hosts/frontstat-com-hosts.yml
- type: Vendors
  url: vendors/frontstat-com-vendors.yml
- type: PrivacyPolicy
  url: https://frontstat.com/privacy
- type: Login
  url: https://frontstat.com/login
- type: DomainSecurity
  url: security/frontstat-com-domain-security.yml
- type: Website
  url: https://frontstat.com/
- type: Documentation
  url: https://frontstat.com/guides
- type: GettingStarted
  url: https://frontstat.com/#get
- type: Pricing
  url: https://frontstat.com/pricing
apis: []
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: The provider's documentation pages are HTML without any published OpenAPI, AsyncAPI, GraphQL, gRPC, or WSDL contracts.
  evidence:
  - url: https://frontstat.com/guides
    status: 200
  checked: '2026-11-09'
x-enrichment:
  date: '2026-11-08'
  status: enriched
  artifacts_added: 12
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

FrontStat API — frequently asked questions

How much does the FrontStat API cost?

FrontStat publishes its prices; its Free plan is $0 as of 2026-11-08. APIs.io lists 3 pricing plans for FrontStat, with each plan's price, limits and inclusions under Pricing on this page.

Does FrontStat have an MCP server?

Yes. APIs.io lists 1 MCP server for FrontStat: Remote MCP server at frontstat.com.

Is the FrontStat API ready for AI agents?

FrontStat has a Kin Score of 19.3 out of 100 (emerging) and an Agent Readiness score of 6.7 (agent-aware), scored by API Evangelist on 2026-11-13.

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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Every operation they expose

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How their score was established

curl "https://apis.io/api/v1/providers/frontstat-com/evidence"

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