Hyperprobe

Hyperprobe is a runtime data platform for AI-native software development, built by a San Francisco team in Y Combinator's Summer 2026 batch. It lets developers and coding agents (Cursor, Claude Code, Codex, opencode, Windsurf) set live, non-breaking breakpoints in running production services directly from the IDE — capturing exact variable snapshots, injecting logs, and tracing call stacks without pausing threads, redeploying, or changing source code. Probes are read-only and non-blocking with under 1% overhead, and PII is redacted in-process before any data leaves the container's memory boundary (password, secret, token, authorization, cookie, key, signature, ssn and creditCard patterns are masked by default). Hyperprobe ships in-process SDKs for Node.js (@hyperprobe/node-sdk), Java (a bytecode-instrumentation agent), and Python (hyperprobe-agent), a VS Code extension, and an official Model Context Protocol (MCP) server (@hyperprobe/mcp-server) that lets AI assistants autonomously register conditional probes and read real runtime evidence instead of flat logs. The platform can run fully self-hosted via Docker Compose. Originally added to the API Evangelist network as a Y Combinator portfolio lead, this profile has been enriched from Hyperprobe's public developer surface.

Hyperprobe is profiled on the APIs.io network. Tagged areas include Company, Observability, Debugging, Developer Tools, and Runtime.

Hyperprobe’s developer surface includes pricing, engineering blog, documentation, getting-started guide, signup flow, CLI, and 10 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

26.5/100 thin ▬ flat Agent 0/100 human only Front door AI 3/6 light Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

0 APIs 1 MCP Servers

Company Observability Debugging Developer Tools Runtime Artificial Intelligence MCP SDK Production Debugging

Kin Score

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

Composite quality — 26.5/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 8.1 / 17

Access Clarity 8.5 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 1.5 / 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
Operational Transparency scores 0.0 — up to +13.0 composite points
Developer Ergonomics scores 47.6 — up to +10.5 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/hyperprobe/apis.yml: open an issue on github.com/api-evangelist/hyperprobe 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)

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

MCP Servers 1

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

Hyperprobe MCP Server

Official Hyperprobe MCP server, published to npm as @hyperprobe/mcp-server and run locally over stdio. It lets AI coding agents autonomously debug and trace running production c...

MCP SERVER

Hyperprobe API pricing

Prices published by Hyperprobe, read 2026-10-07 from www.hyperprobe.co/pricing.

Plan	Price
Free	$0 forever Includes: Unlimited probes and captures, 7-day capture history, MCP server, all supported runtimes, default PI
Professional	$99 per service per month Includes: Everything in Free, unlimited services, 30-day capture history, team-level probe policy, RBAC, Googl
Professional (annual)	$79 billed annually · 3 service minimum per service, billed annually, 3 service minimum Includes: Same as Professional
Enterprise	Custom Includes: Everything in Professional, self-hosted or private VPC, data residency, custom retention, org-level

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Hyperprobe Plans Pricing

4 plans

PLANS

Security Posture 1

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

Hyperprobe Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 3

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

Packages

Packages

CLI

CLI

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: hyperprobe
name: Hyperprobe
description: Hyperprobe is a runtime data platform for AI-native software development, built by a San Francisco team in Y
  Combinator's Summer 2026 batch. It lets developers and coding agents (Cursor, Claude Code, Codex, opencode, Windsurf) set
  live, non-breaking breakpoints in running production services directly from the IDE — capturing exact variable snapshots,
  injecting logs, and tracing call stacks without pausing threads, redeploying, or changing source code. Probes are read-only
  and non-blocking with under 1% overhead, and PII is redacted in-process before any data leaves the container's memory boundary
  (password, secret, token, authorization, cookie, key, signature, ssn and creditCard patterns are masked by default). Hyperprobe
  ships in-process SDKs for Node.js (@hyperprobe/node-sdk), Java (a bytecode-instrumentation agent), and Python (hyperprobe-agent),
  a VS Code extension, and an official Model Context Protocol (MCP) server (@hyperprobe/mcp-server) that lets AI assistants
  autonomously register conditional probes and read real runtime evidence instead of flat logs. The platform can run fully
  self-hosted via Docker Compose. Originally added to the API Evangelist network as a Y Combinator portfolio lead, this profile
  has been enriched from Hyperprobe's public developer surface.
url: https://raw.githubusercontent.com/api-evangelist/hyperprobe/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
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: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
image: https://hyperprobe.co/favicon.svg
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
x-docs-hosting: vercel
tags:
- Company
- Observability
- Debugging
- Developer Tools
- Runtime
- Artificial Intelligence
- MCP
- SDK
- Production Debugging
tags_raw:
- Company
- Observability
- Debugging
- Developer Tools
- Runtime
- AI
- MCP
- SDK
- Production Debugging
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Pricing
  url: https://www.hyperprobe.co/pricing
- type: Plans
  url: plans/hyperprobe-plans-pricing.yml
- url: https://www.hyperprobe.co/resources/blog/
  type: Blog
- type: Website
  url: https://hyperprobe.co/
- type: DeveloperPortal
  url: https://docs.hyperprobe.co/
- type: Documentation
  url: https://docs.hyperprobe.co/
- type: GettingStarted
  url: https://docs.hyperprobe.co/quickstart
- type: SignUp
  url: https://app.hyperprobe.co
- type: SDKs
  url: packages/hyperprobe-packages.yml
- type: Packages
  url: packages/hyperprobe-packages.yml
- type: MCPServer
  url: mcp/hyperprobe-mcp.yml
- type: CLI
  url: cli/hyperprobe-cli.yml
- type: LLMsTxt
  url: llms/hyperprobe-llms.txt
- type: WellKnown
  url: well-known/hyperprobe-well-known.yml
- type: Conformance
  url: conformance/hyperprobe-conformance.yml
- type: DomainSecurity
  url: security/hyperprobe-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Hyperprobe API — frequently asked questions

How much does the Hyperprobe API cost?

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

Does Hyperprobe have an MCP server?

Yes. APIs.io lists 1 MCP server for Hyperprobe: Official Hyperprobe MCP server, published to npm as @hyperprobe/mcp-server and run locally over stdio. It lets AI coding agents autonomously debug and trace running production code by dynamically regi

Is the Hyperprobe API ready for AI agents?

Hyperprobe has a Kin Score of 26.5 out of 100 (thin) and an Agent Readiness score of 0.0 (human-only), 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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Call it yourself

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Every operation they expose

curl "https://apis.io/api/v1/providers/hyperprobe/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/hyperprobe/evidence"

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