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RDash logo

RDash

Not Agent-Ready Yet
Agent-Ready SaaS Index · rdash.ai · scored 2026-05-06 · rubric v1.1
Score 34 / 100
Construction Management
Public API

RDash publishes a pricing page with 2 discoverable plan tier(s). 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 RDash pricing summaryLive pricing page
Pricing
RDash pricing
As of 2026-05-09 · rdash.ai/
Pricing — verifying
We’re still verifying RDash’s pricing

Pricing details are not present in the provided body text; the page appears to direct users to contact sales for pricing. Consequently, most pricing fields are null and the model is marked as unverified.

Source of truth: rdash.ai/

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

Public pricing

15 / 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
34 / 100
Agent purchase simulation
Six-step check: can an agent actually buy from RDash?
✓

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 RDash 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

AI Powered Construction Management Software — 🚀 New Feature Alert : Introducing RDash AI Copilot. Analytics is now just a few clicks away. Check Now

tier_count

2

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://rdash.ai/developers/

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":true,"sitemap_xml":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false}

View raw extracted page text →
Page heading: AI Powered Construction Management Software
CTAs (40): Skip to content · Check Now · User Sign In · Let's Talk · Close Solutions Open Solutions · Project and Design Management · Pre-sales / CRMManage leads, send quotations, convert to project · Activity ScheduleSchedule activities, set deadlines and highlight dependencies · Design Management Version control and contextual collaboration on design files · BOQ & Change OrdersCreate and Share BOQ with clients, Document and approve Chang · DPR/Progress ReportAutomate 360° daily progress reporting - in real time · Site SurveySmart site diligence and technical survey with mobile app
Price tokens (6): $8 · $4.5 · $650 · $200 · $600 · $500
Skip to content 🚀 New Feature Alert : Introducing RDash AI Copilot. Analytics is now just a few clicks away. Check Now User Sign In Let's Talk Solutions Close Solutions Open Solutions Project and Design Management Pre-sales / CRMManage leads, send quotations, convert to project Activity ScheduleSchedule activities, set deadlines and highlight dependencies Design Management Version control and contextual collaboration on design files BOQ & Change OrdersCreate and Share BOQ with clients, Document and approve Changes DPR/Progress ReportAutomate 360° daily progress reporting - in real time Site SurveySmart site diligence and technical survey with mobile app Snag ManagementTag quality snags to supplier orders Procurement and Finance Management Rate ContractsLinked to Element Master, automates procurement workflows Vendor Orders & InvoiceAutomate PO creation, Configure country specific tax rules Material ManagementMaterial GRN and Issuance at site store Bill of materialsBreak scope items into standard materials Installed progress TrackingPrecise cashflow control by measuring installed value of work Site Expanse TrackingCapture and control site expanse via mobile app Purchase RequestsInitiate Material Purchase Requests from site with Approval controls AI and Power Features RDash AI Co-pilotGet advance analytics and get things done with Prompts Task ManagerTurns contexts into collaborative Work Space Approval HierarchyMakes your PO, Invoicing, Payment, and Expanse processes robust E…
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Get the breakdown of every signal we measured, the one-line fix, and how your peers in Construction Management stack up.

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

34

/ 100 (rubric v1.1)

Category

Construction Management

Pricing model

Not advertised

Tier count

2

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://rdash.ai/.
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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