Hyper 4

Hyper (heyhyper.ai) is a Y Combinator-backed startup building "the self-driving company brain" — a knowledge-management platform that assembles a centralized, self-maintaining knowledge graph from a team's emails, Slack, GitHub, calendars, and other work sources, then feeds that context back into AI agents and tools so they act with accurate company memory and require fewer repeated corrections. Founded in 2026 by Shalin Shah and Kanyes Thaker and based in San Francisco, the company was surfaced as a Y Combinator portfolio company and added to the API Evangelist network as an enrichment lead. As of this profile Hyper is very early-stage, publishing only a marketing landing page at heyhyper.ai with no public developer portal, API reference, SDKs, or machine-readable API surface yet available; this record captures verified company identity and will be re-enriched as a developer platform is published.

Hyper 4 is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Agents, Knowledge Management, and Knowledge Graph.

Hyper 4’s developer surface includes pricing, engineering blog, and 3 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

11.6/100 emerging ▬ flat Agent 12/100 agent aware Front door AI 3/6 light Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumFree trial

0 APIs 1 MCP Servers

Company Artificial Intelligence AI Agents Knowledge Management Knowledge Graph Memory Developer Tools Y Combinator

Kin Score

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

Composite quality — 11.6/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 6.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.4 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 12/100 · 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 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 5 / 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
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

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
Developer Ergonomics scores 2.4 — up to +19.5 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/hyper-4/apis.yml: open an issue on github.com/api-evangelist/hyper-4 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 2

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 (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

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

Hyper 4 MCP Server

Remote MCP server at api.heyhyper.ai over HTTP.

MCP SERVER

Hyper 4 API pricing

Prices published by Hyper 4, read 2026-10-07 from heyhyper.ai/pricing.

Plan	Price
Free trial	$0 for 3 days Includes: Unlimited usage. Every product cap lifted for the three-day trial.
Sprint	$30/ seat/ mo Includes: 4M tokens / seat / mo, or roughly 800 30-min meetings; 5,000 documents; 10,000 Slack messages; 8,000
Blitz	$120/ seat/ mo Includes: 20M tokens / seat / mo, or roughly 4,000 30-min meetings; 25,000 documents; 50,000 Slack messages; 4
Enterprise	Custom Includes: Custom limits, tuned to your team volume.
Personal workspace	A fixed 1M tokens/ mo of free usage that is yours to keep. Includes: 1M tokens / mo free

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Hyper 4 Plans Pricing

5 plans

PLANS

Security Posture 1

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

Hyper 4 Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

Company 2

The organization behind the API

Blog

Blog

Website

Website

Source (apis.yml)

aid: hyper-4
name: Hyper 4
description: Hyper (heyhyper.ai) is a Y Combinator-backed startup building "the self-driving company brain" — a knowledge-management
  platform that assembles a centralized, self-maintaining knowledge graph from a team's emails, Slack, GitHub, calendars,
  and other work sources, then feeds that context back into AI agents and tools so they act with accurate company memory and
  require fewer repeated corrections. Founded in 2026 by Shalin Shah and Kanyes Thaker and based in San Francisco, the company
  was surfaced as a Y Combinator portfolio company and added to the API Evangelist network as an enrichment lead. As of this
  profile Hyper is very early-stage, publishing only a marketing landing page at heyhyper.ai with no public developer portal,
  API reference, SDKs, or machine-readable API surface yet available; this record captures verified company identity and will
  be re-enriched as a developer platform is published.
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: true
  try_now: false
  public: false
  label: Freemium (free trial)
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://heyhyper.ai/hyper-app-icon.png
url: https://raw.githubusercontent.com/api-evangelist/hyper-4/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
x-founders:
- Shalin Shah
- Kanyes Thaker
x-location: San Francisco, CA
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Artificial Intelligence
- AI Agents
- Knowledge Management
- Knowledge Graph
- Memory
- Developer Tools
- Y Combinator
tags_raw:
- Company
- Artificial Intelligence
- AI Agents
- Knowledge Management
- Knowledge Graph
- Memory
- Developer Tools
- Y Combinator
- Knowledge-Management
apis: []
common:
- type: Pricing
  url: https://heyhyper.ai/pricing
- type: Plans
  url: plans/hyper-4-plans-pricing.yml
- url: https://heyhyper.ai/blog/
  type: Blog
- type: DomainSecurity
  url: security/hyper-4-domain-security.yml
- type: Website
  url: https://heyhyper.ai
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Hyper 4 API — frequently asked questions

How much does the Hyper 4 API cost?

Hyper 4 publishes its prices; its Free trial plan is $0 for 3 days as of 2026-10-07. APIs.io lists 5 pricing plans for Hyper 4, with each plan's price, limits and inclusions under Pricing on this page.

Does Hyper 4 have an MCP server?

Yes. APIs.io lists 1 MCP server for Hyper 4: Remote MCP server at api.heyhyper.ai over HTTP.

Is the Hyper 4 API ready for AI agents?

Hyper 4 has a Kin Score of 11.6 out of 100 (emerging) and an Agent Readiness score of 12.2 (agent-aware), scored by API Evangelist on 2026-11-06.

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