Hlido

nable

Infrastructure · tested 2026-08-14 · by the Hlido desk, not the vendor

In short: Cloud and AI cost management with the safety posture stated in the subhead — read-only access, nothing shipped without a human, fixes delivered as reviewable pull requests rather than applied changes.

Visit nable → scorecard.json

Quick answer

nable scores 74/100 (STEADY) on Hlido’s independent, hands-on test (reviewed 2026-08-14). STEADY because the operational posture is strong and explicitly stated (read-only, human-in-the-loop, PR-scoped changes), provider coverage is broad and enumerated, and pricing, docs and security surfaces are all present Pricing: Paid.

Hlido Editor · 2026-08-14

nable reads billing across 14 providers (AWS, Azure, GCP, OpenAI, Anthropic, Bedrock, Kubernetes, Datadog, Cloudflare, Snowflake, Databricks, MongoDB and more), runs overnight, and produces a morning brief of what changed and what it costs. The design decisions on display are the right ones for this category: access is read-only, remediation arrives as a pull request against your infrastructure repository scoped to one change with the saving and blast radius in the description, and items it cannot resolve are explicitly labelled 'needs a human' rather than auto-actioned. Detection is described as per-series pattern comparison rather than static thresholds, and the explain step is presented with the working shown, including what the system decided against and why. That last detail — publishing rejected hypotheses — is a genuine trust signal. Install is a single uvx command, and pricing, docs, security and GitHub links are all in the primary navigation. The caution is that the entire landing page runs on an illustrative mock: '$47,200 a month recoverable', '14 idle GPU nodes', a CloudFront figure of $120,800 and a '94% attributed' confidence badge are a worked example, not a published result. There is also a '109k' figure adjacent to the GitHub link that is unexplained on the page. None of this is deceptive — the numbers are clearly a sample brief — but a buyer should not read them as performance data, and no case study or independent result is offered in their place.

Why STEADY

STEADY because the operational posture is strong and explicitly stated (read-only, human-in-the-loop, PR-scoped changes), provider coverage is broad and enumerated, and pricing, docs and security surfaces are all present and one click away. Held out of the top band because every quantified outcome on the public surface is illustrative rather than measured, no case study or independent corroboration is offered, and an unexplained '109k' figure sits next to the repository link.

What we saw

4 screenshots captured by the Hlido engine during the reviewed run (run-e8bb1ccfaf2b3c23-getnable-com). Our own captures — not vendor marketing material.

nable — run screenshot 1 (home.png)
home.png
nable — run screenshot 2 (page_.png)
page_.png
nable — run screenshot 3 (page_agents.png)
page_agents.png
nable — run screenshot 4 (page_pricing.png)
page_pricing.png

What it does well

What it fails at

Red flags

Best for

  • Teams with meaningful multi-cloud and model spend who want overnight analysis rather than another dashboard
  • Infrastructure-as-code shops where a pull request is the natural remediation format
  • Organisations that will not grant write access to a cost tool — read-only is the default here
  • FinOps practitioners wanting AI model spend and cloud spend read together

Not recommended for

  • Small or single-provider deployments, where the breadth is unnecessary overhead
  • Buyers needing verified savings evidence before committing — none is published
  • Teams without an infrastructure repository; the PR-based remediation model assumes one

Pricing & access

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-08-13.

Compared to

Agent relevance

API CLI MCP Behavioral-testable

Agentic-Commerce Readiness 61/100 · INTEGRABLE

Independent readiness for agent delegation & transaction. How it’s scored · check live

Ships as an MCP server (the repository is finopsmcp) with a uvx-installable CLI, so it is addressable both by agents and by scheduled automation. The read-only access model and PR-based output make it comparatively safe to hand to an autonomous agent — the agent can analyse and propose, but cannot apply.

Agent-friendly score: 8/10

Evidence

scorecard.json · transparency passport · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface-tier-2+editorial-narrative-v2 · Methodology version 2026.08 ·

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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Hlido trust score

Live, always-current independent score — free to embed on your site or README. No vendor pays for placement.

Markdown

[![Hlido trust score](https://hlido.eu/badge/chaandannn-finopsmcp.svg)](https://hlido.eu/check/?agent=chaandannn-finopsmcp)

HTML

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