Fearn

Fearn is the AI-native patent prosecution firm built for startups. It pairs former Big Law patent attorneys with proprietary, hallucination-resistant AI models built in-house by PhD computer scientists to take an invention from disclosure to a filing-ready provisional or non-provisional patent draft in minutes rather than the 50+ hours typical of traditional firms, at flat-rate pricing with automated labeled-figure generation and a money-back guarantee tied to claim allowance. Fearn self-hosts its entire AI infrastructure and uses no third-party model APIs, keeping invention disclosures confidential and compliant with SOC 2, ISO 27001, ISO 27701, and GDPR. Founded in 2025 and headquartered in San Francisco; backed by Kindred Ventures and a16z speedrun. Fearn is a legal-services company and does not currently publish a public developer API.

Fearn is profiled on the APIs.io network. Tagged areas include Company, Patents, Intellectual Property, Legal Tech, and Patent Prosecution.

Fearn’s developer surface includes pricing, engineering blog, support, signup flow, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

27.0/100 thin ▬ flat Agent 0/100 human only Front door AI 5/6 prominent Heartbeat 69/100 slowing saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

Company Patents Intellectual Property Legal TechPatent ProsecutionArtificial Intelligence Legal Services Startups

Kin Score

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

Composite quality — 27.0/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 14.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 3.3 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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 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 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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
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

13 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 7.1 — up to +18.6 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/fearn/apis.yml: open an issue on github.com/api-evangelist/fearn 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 →

Fearn API pricing

Prices published by Fearn, read 2026-10-07 from fearn.ai/pricing.

Plan	Price
Stage A Landscape	Cost $2,000 per landscape analysis Includes: Competitive landscape and whitespace analysis, covering patent and non-patent literature
Stage A Provisional	Cost $2,500 per provisional filing Includes: Credited in full towards your non-provisional.
Stage B Non-Provisional PCT	Cost $9,000 guaranteed per international application Includes: One filing, 150+ countries; provisional cost credits towards non-provisional
Stage C US National Phase	Cost $7,500 per national-phase entry Includes: National-phase entry, prepared and filed
Stage D Office Action Response	Cost $3,500 per response Includes: A reasoned response to each rejection

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Fearn Plans Pricing

5 plans

PLANS

Security Posture 1

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

Fearn Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 2

Authentication, authorization, and security posture

Compliance

Compliance

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

About

About

Blog

Blog

LinkedIn

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

aid: fearn
name: Fearn
description: Fearn is the AI-native patent prosecution firm built for startups. It pairs former Big Law patent attorneys with
  proprietary, hallucination-resistant AI models built in-house by PhD computer scientists to take an invention from disclosure
  to a filing-ready provisional or non-provisional patent draft in minutes rather than the 50+ hours typical of traditional
  firms, at flat-rate pricing with automated labeled-figure generation and a money-back guarantee tied to claim allowance.
  Fearn self-hosts its entire AI infrastructure and uses no third-party model APIs, keeping invention disclosures confidential
  and compliant with SOC 2, ISO 27001, ISO 27701, and GDPR. Founded in 2025 and headquartered in San Francisco; backed by
  Kindred Ventures and a16z speedrun. Fearn is a legal-services company and does not currently publish a public developer
  API.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://framerusercontent.com/images/ttif87tkoRO6GG5JMASkJkb5To.png
url: https://raw.githubusercontent.com/api-evangelist/fearn/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- kindred-ventures
x-tier: profiled
x-tier-reason: non-api-services-company
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Patents
- Intellectual Property
- Legal Tech
- Patent Prosecution
- Artificial Intelligence
- Legal Services
- Startups
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/fearn-plans-pricing.yml
- type: Website
  url: https://fearn.ai/
- type: About
  url: https://fearn.ai/about
- type: Pricing
  url: https://fearn.ai/pricing
- type: Blog
  url: https://fearn.ai/resources
- type: Support
  url: https://fearn.ai/contact
- type: SignUp
  url: https://app.fearn.ai/signup
- type: Login
  url: https://app.fearn.ai/signin
- type: TermsOfService
  url: https://fearn.ai/legal/terms
- type: PrivacyPolicy
  url: https://fearn.ai/legal/privacy
- type: Compliance
  url: https://fearn.ai/
- type: LinkedIn
  url: https://www.linkedin.com/company/fearn-ai
- type: X
  url: https://x.com/fearn_ai
- type: Conformance
  url: conformance/fearn-conformance.yml
- type: DomainSecurity
  url: security/fearn-domain-security.yml
- type: LLMsTxt
  url: llms/fearn-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Fearn API — frequently asked questions

How much does the Fearn API cost?

Fearn publishes its prices; its Stage A Landscape plan is Cost $2,000 per landscape analysis as of 2026-10-07. APIs.io lists 5 pricing plans for Fearn, with each plan's price, limits and inclusions under Pricing on this page.

Is the Fearn API ready for AI agents?

Fearn has a Kin Score of 27.0 out of 100 (thin) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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