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DQOps logo

DQOps

Not Agent-Ready Yet
Agent-Ready SaaS Index · dqops.com · scored 2026-05-09 · rubric v2.0
Score 15 / 100
Data Quality
Public API

DQOps scores 15/100 on xpay's Agent-Ready Index v2: partial pricing visibility.

See DQOps pricing summaryLive pricing page
Pricing
DQOps pricing
As of 2026-05-09 · dqops.com/pricing/
Billed annually only — no monthly option
Personal
Sales
$600/user/mo
200 monitored tables
unlimited checks per table
up to 200 data source connections
2 concurrent data quality jobs
SaaS custom dashboards
Team
Sales
$2000/user/mo
2000 monitored tables
5 users
unlimited checks per table
up to 2000 data source connections
20 concurrent data quality jobs
Enterprise
Sales
Contact sales
custom pricing
custom monitored tables
custom users
custom data source connections
custom dashboards
Score breakdown · rubric v2.0
How DQOps scores on the agent-ready dimensions

Public pricing visibility

13 / 15

Self-serve checkout

0 / 15

Public API + docs

0 / 20

Usage-based / metered pricing

0 / 20

Free entry path

0 / 7

No sales call required

0 / 7

Card / wallet / x402 payment

2 / 6

Machine-readable bonus (MCP / OpenAPI)

0 / 10

Total
15 / 100
Effective pricing
What it actually costs at typical scale
1 user, Personal plan
$600/mo
· Single user· Billed annually at $600 per month
Confidence: high
5 users, Team plan
$2000/mo
· 5 users· Billed annually at $2,000 per month
Confidence: high
Agent purchase verdict
Can an autonomous agent transact here?
Sales-gated
LLM score: 25/100

Can create account

No

Can enter payment method

No

Can upgrade plan

No

Can buy more usage

No

Can cancel online

No

Payment methods

invoice

Human approval recommended

Yes

Pricing transparency

partial

Purchase motion

sales_led

Demo required

Yes

Quote required

Yes

Annual commit required

Yes

Auto-renewal mentioned

No

Cancellation policy visible

No

Refund policy visible

No

Minimum term

12 months

Invoice payment available

Yes

Purchase orders supported

Unknown

MSA required

Unknown

DPA available

Unknown

Security review required

Unknown

Competitive intel
Positioning & ecosystem
Headline

“Simple pricing built for everyone”

Buyer persona

smb
mid market
enterprise

Agent purchase simulation
Six-step check: can an agent actually buy from DQOps?
✓

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.
◐ 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.
  • No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
One-line fix
How DQOps 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

Pricing — Business intelligence

tier_count

4

lowest_paid_entry_usd

600

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://dqops.com/docs/

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}

View raw extracted page text →
Page heading: Pricing · Simple pricing built for everyone
CTAs (40): Skip to content · A step-by-step guide to improve data quality. Download new eBook ▶ · Product · Solutions · Data Scientists · Data Engineers · BI Developers · Data Operations · DevOps · Data Stewards · Data governance · Business intelligence
Price tokens (2): $600 per month Personal edi · $2
Skip to content A step-by-step guide to improve data quality. Download new eBook ▶ Product Solutions Job Function Data Area JOB FUNCTION Data Scientists Monitor data quality in the data used for machine learning Data Engineers Prevent loading invalid data through your data pipelines BI Developers Detect data quality issues before the business sees incorrect numbers on dashboards Data Operations Detect potential issues with data pipelines DevOps Keep the data quality checks along with the data pipeline code Data Stewards Continuously monitor the quality of the dataDATA AREA Data governance Monitor data quality through unified data quality metrics Business intelligence Let your dashboards always show valid numbers Data Ingestion Ensure that your data sources are pulled correctly Data lake Bring data governance to the data lake Data warehousing Trust all the stages of your data warehouse Data sharing Ensure that the data sharing KPIs are met Integrations Pricing Company About us Our vision on data quality Contact us Book a live demo Professional services Let our team plan your data quality strategy Support Report problems and get help Partnership Offer quality services to your customers • Prove data quality with KPIs • Build custom data quality dashboards • Compare data in migration projectsLearn more > Resources Blog Get the latest from DQOps and everything related to data quality monitoring Documentation Deep dive into product set up, div concepts, user guides and use cases. H…
You work at DQOps?
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Get the breakdown of every signal we measured, the one-line fix, and how your peers in Data Quality stack up.

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

15

/ 100 (rubric v2.0)
Category

Data Quality

Pricing model

Pricing — Business intelligence

Tier count

4

Free tier

No

Lowest paid entry

$600/mo

Self-serve / sales-only tiers

0 / 1

Public API docs

Public

Anonymous purchase path

No

Machine-readable pricing

Not published

Last refreshed

2026-05-09

Pricing intelligenceInsights extracted from dqops.com/pricing/
Pricing model

Annual-only tier subscription

Agent-purchase verdict
Sales-gated
25/100 · v2.1
Canonical answer

DQOps pricing starts at $600 per month for the Personal plan; the Team plan costs $2,000 per month; enterprise pricing is custom. All plans are billed annually.

Cheapest entry

Personal plan ($600) · sales-led

Actions
Open live pricing page
Verdict reflects Not Agent-Ready Yet status under rubric v2.0. Source observed at https://dqops.com/pricing/.
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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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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