Pointfive

PointFive is the AI Efficiency Operating System for FinOps, platform, and engineering teams. It detects 500+ types of cloud, Kubernetes, and AI-infrastructure waste that traditional cost dashboards miss, then converts findings into auditable remediation — drafting pull requests and Jira tickets — and tracks realized savings back to actual budget impact. Marquee capabilities include DeepWaste Detection, DeepWaste for AI (model/GPU/data-platform spend), TokenShift (coding-agent token governance), and Agentic Remediation. Its public programmatic surface is an OAuth 2.1 Model Context Protocol (MCP) server that brings cost intelligence into AI tools like Claude, Cursor, and ChatGPT. Surfaced as an Accel / Index Ventures portfolio company and enriched by the API Evangelist pipeline.

Pointfive is profiled on the APIs.io network. Tagged areas include Company, Cloud Saas, FinOps, Cloud Cost Optimization, and Cloud Infrastructure.

Pointfive’s developer surface includes documentation, authentication, engineering blog, support, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

25.5/100 emerging ▬ flat Agent 19/100 agent aware Front door AI 6/6 dominant Heartbeat 94/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessSelf serve

0 APIs 1 MCP Servers

Company Cloud Saas FinOps Cloud Cost Optimization Cloud Infrastructure Kubernetes AI Infrastructure MCP

Kin Score

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

Composite quality — 25.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 4.9 / 17

Access Clarity 6.0 / 17

Operational Transparency 1.7 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 5.1 / 15

Agent readiness — 19/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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
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
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

9 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 28.6 — up to +14.3 composite points
Access Clarity scores 35.5 — up to +12.9 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/pointfive/apis.yml: open an issue on github.com/api-evangelist/pointfive 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
ServiceNow Store (partner apps + ServiceNow Certified App)	standard	40.2	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

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)

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

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.

Pointfive MCP Server

The PointFive MCP Server brings cloud cost optimization intelligence directly into AI development environments (Claude, Cursor, ChatGPT) via the Model Context Protocol. Users on...

MCP SERVER

Security Posture 3

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

Pointfive Authentication

oauth2 · 1 scheme

SECURITY

Pointfive Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Pointfive Trust Center

SOC 2, ISO 27001, ISO 27017, ISO 27018, HIPAA, FedRAMP, GDPR

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Pointfive Scopes

2 scopes · authorizationCode

2 scopes

SCOPES

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

MCPServer

MCPServer

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Conformance

Conformance

Access & Security 5

Authentication, authorization, and security posture

Authentication

OAuthScopes

Compliance

TrustCenter

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

StatusPage

StatusPage

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Source (apis.yml)

aid: pointfive
name: Pointfive
description: PointFive is the AI Efficiency Operating System for FinOps, platform, and engineering teams. It detects 500+
  types of cloud, Kubernetes, and AI-infrastructure waste that traditional cost dashboards miss, then converts findings into
  auditable remediation — drafting pull requests and Jira tickets — and tracks realized savings back to actual budget impact.
  Marquee capabilities include DeepWaste Detection, DeepWaste for AI (model/GPU/data-platform spend), TokenShift (coding-agent
  token governance), and Agentic Remediation. Its public programmatic surface is an OAuth 2.1 Model Context Protocol (MCP)
  server that brings cost intelligence into AI tools like Claude, Cursor, and ChatGPT. Surfaced as an Accel / Index Ventures
  portfolio company and enriched by the API Evangelist pipeline.
url: https://raw.githubusercontent.com/api-evangelist/pointfive/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- accel
- index-ventures
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: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  - scopes
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
image: https://www.pointfive.co/og-image.png
tags:
- Company
- Cloud Saas
- FinOps
- Cloud Cost Optimization
- Cloud Infrastructure
- Kubernetes
- AI Infrastructure
- MCP
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- url: https://www.pointfive.co/rss.xml
  type: BlogRSS
- type: Website
  url: https://www.pointfive.co/
- type: Documentation
  url: https://www.pointfive.co/mcp
- type: MCPServer
  url: mcp/pointfive-mcp.yml
- type: WellKnown
  url: well-known/pointfive-well-known.yml
- type: Authentication
  url: authentication/pointfive-authentication.yml
- type: OAuthScopes
  url: scopes/pointfive-scopes.yml
- type: Lifecycle
  url: lifecycle/pointfive-lifecycle.yml
- type: StatusPage
  url: https://status.pointfive.co/
- type: Conformance
  url: conformance/pointfive-conformance.yml
- type: Compliance
  url: https://trust.pointfive.co/
- type: TrustCenter
  url: security/pointfive-trust-center.yml
- type: DomainSecurity
  url: security/pointfive-domain-security.yml
- type: LLMsTxt
  url: llms/pointfive-llms.txt
- type: Blog
  url: https://www.pointfive.co/blog
- type: Support
  url: https://www.pointfive.co/contact
- type: Login
  url: https://app.pointfive.co/
- type: TermsOfService
  url: https://www.pointfive.co/terms
- type: PrivacyPolicy
  url: https://www.pointfive.co/privacy
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 9
  pass: local-v1

Pointfive API — frequently asked questions

How do I authenticate with the Pointfive API?

Pointfive documents its authentication (oauth2 · 1 scheme). The details are profiled on APIs.io as Pointfive Authentication.

Does Pointfive have an MCP server?

Yes. APIs.io lists 1 MCP server for Pointfive: The PointFive MCP Server brings cloud cost optimization intelligence directly into AI development environments (Claude, Cursor, ChatGPT) via the Model Context Protocol. Users only access data they can

Is the Pointfive API ready for AI agents?

Pointfive has a Kin Score of 25.5 out of 100 (emerging) and an Agent Readiness score of 18.7 (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

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