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LinearB logo

LinearB

Approaching Agent-Ready
Agent-Ready SaaS Index · linearb.io · scored 2026-05-09 · rubric v2.0
Score 71 / 100
Software Development Analytics Tools
Free tier
Self-serve checkout

LinearB scores 71/100 on xpay's Agent-Ready Index v2: partial pricing visibility; self-serve checkout is available; a public API exists with documentation; usage-based / per-token pricing is published.

See LinearB pricing summaryLive pricing page
Pricing
LinearB pricing
As of 2026-05-09 · linearb.io/pricing/
Billed annually only — no monthly option
Essentials
$29/user/mo
AI impact measurement
AI code reviews
MCP Server
Auto-PR descriptions
Programmable workflows
Enterprise
Sales
$59/user/mo
All Essentials features
Developer productivity insights
Project tracking & forecasting
Resource allocation & investment profile
R&D cost capitalization
Score breakdown · rubric v2.0
How LinearB scores on the agent-ready dimensions

Public pricing visibility

13 / 15

Self-serve checkout

15 / 15

Public API + docs

12 / 20

Usage-based / metered pricing

13 / 20

Free entry path

4 / 7

No sales call required

4 / 7

Card / wallet / x402 payment

5 / 6

Machine-readable bonus (MCP / OpenAPI)

5 / 10


Total
71 / 100
Effective pricing
What it actually costs at typical scale
10 contributors on Essentials, using included credits
$290/mo
· 10 contributors· no extra credit usage
Confidence: high
5 contributors on Enterprise, using included credits
$295/mo
· 5 contributors· no extra credit usage
Confidence: high
Agent purchase verdict
Can an autonomous agent transact here?
Agent-ready
LLM score: 100/100

Can create account

Yes

Can enter payment method

Yes

Can upgrade plan

Yes

Can buy more usage

Yes

Can cancel online

Yes


Payment methods

card
wire
ach

Human approval recommended

No

Pricing transparency

full

Purchase motion

self_serve

Demo required

No

Quote required

Yes


Annual commit required

Yes

Auto-renewal mentioned

Yes

Cancellation policy visible

No

Refund policy visible

No

Minimum term

12 months


Invoice payment available

Yes

Purchase orders supported

Yes

MSA required

Yes

DPA available

Yes

Security review required

No


Trial

45 days (no card)

API readiness
API & developer surface

API-first product

No

Public API docs

docs.linearb.io/api-overview/

Sandbox present

Unknown

Webhooks

Unknown

MCP mentioned

Yes

Enterprise signals
Trust & compliance

Certifications

ISO/IEC 27001
SOC 2 Type II
GDPR

SSO / SAML

Yes

RBAC

Yes

Audit logs

Yes

Competitive intel
Positioning & ecosystem
Headline

“The AI Productivity Platform”

Buyer persona

smb
mid market
enterprise
developer

Integrations mentioned
Slack
Microsoft Teams
Agent purchase simulation
Six-step check: can an agent actually buy from LinearB?
✓

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.
  • Every advertised tier is self-serve; no tier requires scheduling a call.
  • A free tier exists, lowering the bar for an agent builder to prototype before committing budget.
◐ Opportunities for the provider
  • No per-unit price was advertised, so an agent has no way to estimate the cost of a single task.
  • API documentation is gated or absent; an agent cannot inspect the integration surface without authentication.
  • PPU requires account creation and an issued API key; a fully unauthenticated agent purchase is not yet supported.
  • No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
One-line fix
How LinearB 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

at $10.0. Offers Free-forever plan.

tier_count

2

lowest_paid_entry_usd

10

free_tier

true

free_tier_terms

null

per_unit_price

null

annual_required

false

self_serve_paid_tiers

1

sales_only_tiers

0

public_api_docs_url

null

api_docs_auth_walled

null

ai_pricing_json_present

false

agents_txt_present

false

anonymous_purchase_path

false

agent_friendly

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

You work at LinearB?
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Get the breakdown of every signal we measured, the one-line fix, and how your peers in Software Development Analytics Tools stack up.

Evaluating LinearB?
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Are you LinearB? Something off in this listing?
Agent-Ready Spec
LinearB
Approaching Agent-Ready

71

/ 100 (rubric v2.0)

Category

Software Development Analytics Tools

Pricing model

at $10.0. Offers Free-forever plan.

Tier count

2

Free tier

Yes

Lowest paid entry

$10/mo

Self-serve / sales-only tiers

1 / 0


Public API docs

Auth-walled

Anonymous purchase path

No

Machine-readable pricing

Not published


Last refreshed

2026-05-09

Pricing intelligenceInsights extracted from linearb.io/pricing/
Pricing model

Annual-only tier subscription

Agent-purchase verdict
Agent-ready
100/100 · v2.1
Canonical answer

LinearB pricing starts at $29/mo for the Essentials plan; paid plans up to $59/mo. Billed annually.

Cheapest entry

Start free trial

Actions
Open live pricing page
Verdict reflects Approaching Agent-Ready status under rubric v2.0. Source observed at https://linearb.io/pricing/.
Agent-friendly features2 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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The agent-readiness stack for the AI shopping era — helping merchants, publishers and SaaS companies get discovered, cited and transacted with by ChatGPT, Perplexity, Claude, Gemini and the custom shopping agents underneath them.

CompanyAgentically Inc. (d/b/a xpay✦)1875 Mission St, Ste 103San Francisco, CA 94103, United Stateslegal@xpay.sh · privacy@xpay.sh
or ask your AI app
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