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UrlHum logo

UrlHum

Not Agent-Ready Yet
Agent-Ready SaaS Index · urlhum.com · scored 2026-05-06 · rubric v1.1
Score 29 / 100
URL Shorteners
Public API

UrlHum's pricing URL resolves, but plan structure is not surfaced clearly enough for an agent to enumerate without hand-parsing. No per-unit price was found on the page; an agent has no direct way to estimate the cost of a single task. All advertised paths route to a sales conversation rather than a self-serve checkout. Public API documentation is reachable without an auth wall.

See UrlHum pricing summaryLive pricing page
Pricing
UrlHum pricing
As of 2026-05-09 · urlhum.com/
Pricing — verifying
We’re still verifying UrlHum’s pricing

UrlHum is an open‑source URL shortener with no paid tiers; the page provides no pricing information beyond the free MIT‑licensed offering.

Source of truth: urlhum.com/

Score breakdown · rubric v1.1
How UrlHum scores on the agent-ready dimensions

Public pricing

10 / 15

Usage-based / metered

0 / 25

Self-serve checkout

0 / 15

Public API

15 / 15

Low / no minimum

0 / 10

Unauth automated payment

0 / 10

Bonus (machine-readable pricing)On top of /100 base

0 / 5


Total
29 / 100
Agent purchase simulation
Six-step check: can an agent actually buy from UrlHum?
✓

Discover price

◐

Select a plan

✗

Pay per task

✗

Avoid a sales call

✗

API docs without auth

✗

Estimate cost upfront

Analysis
Pros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-06. Not a review of the product — only of its current pricing posture for agent buyers.
✓ For an AI agent
  • Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
◐ Opportunities for the provider
  • No per-unit price was advertised, so an agent has no way to estimate the cost of a single task.
  • All advertised tiers route to a sales contact form; an agent cannot complete a purchase autonomously.
  • API documentation is gated or absent; an agent cannot inspect the integration surface without authentication.
  • No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
One-line fix
How UrlHum could lift its score

Add a per-unit price (e.g. $X / 1K calls) to the pricing page so an agent can compute its own cost before committing.

pricing_visible

true

headline_phrasing

urlhum/UrlHum — We read every piece of feedback, and take your input very seriously.

tier_count

1

lowest_paid_entry_usd

null

free_tier

false

free_tier_terms

null

per_unit_price

null

annual_required

false

self_serve_paid_tiers

0

sales_only_tiers

1

public_api_docs_url

https://github.com/urlhum/urlhum

api_docs_auth_walled

false

ai_pricing_json_present

false

agents_txt_present

false

anonymous_purchase_path

false

per_unit_classification

null

usage_headline_present

false

custom_tier_present

true

agent_friendly

{"ai_pricing_json":false,"agents_txt":false,"llms_txt":false,"sitemap_xml":false,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false}

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You work at UrlHum?
Claim this scorecard & lift your score.

Get the breakdown of every signal we measured, the one-line fix, and how your peers in URL Shorteners stack up.

Evaluating UrlHum?
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Are you UrlHum? Something off in this listing?
Agent-Ready Spec
UrlHum
Not Agent-Ready Yet

29

/ 100 (rubric v1.1)

Category

URL Shorteners

Pricing model

urlhum/UrlHum — We read every piece of feedback, and take your input very seriously.

Tier count

1

Free tier

No

Lowest paid entry

Sales-led

Self-serve / sales-only tiers

0 / 1


Public API docs

Public

Anonymous purchase path

No

Machine-readable pricing

Not published


Last refreshed

2026-05-06

Actions
Open live pricing page
Verdict reflects Not Agent-Ready Yet status under rubric v1.1. Source observed at https://urlhum.com/.
Agent-friendly features0 of 7 present
Discovery files and protocols
Side-channel signals — informational, not part of the score. Each protocol is independent; adoption signals the publisher is thinking about agent buyers.

ai-pricing.json

agents.txt

llms.txt

sitemap.xml

MCP Server Card

Agent Skills

x402 / MPP

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