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  7. DataEQ

DataEQ logo

DataEQ

Not Agent-Ready Yet
Agent-Ready SaaS Index · dataeq.com · scored 2026-05-06 · rubric v1.1
Score 10 / 100
Social Media Analytics

DataEQ's pricing page did not render numeric tier data on the scoring date. 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. No public API documentation URL was discovered.

See DataEQ pricing summaryLive pricing page
Pricing snapshot
Pricing summary
As of 2026-05-06 · derived from dataeq.com/
Enterprise

Contact sales

Snapshot rendered from xpay's extracted pricing signals. The full tier list lives on the live page — see source link above.
Score breakdown · rubric v1.1
How DataEQ scores on the agent-ready dimensions

Public pricing

0 / 15

Usage-based / metered

0 / 25

Self-serve checkout

0 / 15

Public API

8 / 15

Low / no minimum

0 / 10

Unauth automated payment

0 / 10

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

0 / 5

Total
10 / 100
Agent purchase verdict
Can an autonomous agent transact here?
Sales-gated
LLM score: 10/100

Can create account

No

Can enter payment method

No

Can upgrade plan

No

Can buy more usage

No

Can cancel online

No

Payment methods

Unknown

Human approval recommended

Yes

Pricing transparency

contact_only

Purchase motion

sales_led

Demo required

Yes

Quote required

Yes

Annual commit required

Unknown

Auto-renewal mentioned

No

Cancellation policy visible

No

Refund policy visible

No

Invoice payment available

No

Purchase orders supported

No

MSA required

No

DPA available

No

Security review required

No

Competitive intel
Positioning & ecosystem
Headline

“Turn your unstructured customer data into real-time knowledge your teams can act on”

Buyer persona

enterprise
mid market
smb

Value claims
30hr improvement
Agent purchase simulation
Six-step check: can an agent actually buy from DataEQ?
✓

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.
  • The pricing URL did not render numeric tier data on the scoring date — possibly a router or sales-led landing page.
One-line fix
How DataEQ 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

false

headline_phrasing

Turn your unstructured customer data into real-time knowledge your teams can act on — AI and humans label your data, delivering a structured stream of reliable intelligence so you can detect trends, enrich records, trigger workflows, and stay ahead of risks and opportunities.

tier_count

0

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

null

api_docs_auth_walled

null

ai_pricing_json_present

false

agents_txt_present

false

anonymous_purchase_path

false

per_unit_classification

null

usage_headline_present

false

custom_tier_present

false

agent_friendly

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

View raw extracted page text →
Page heading: Turn your unstructured customer data into real-time knowledge your teams can act on
CTAs (40): Skip to content · About · Solutions · Show submenu for Solutions · Marketing · Risk & Compliance · Customer Experience · Customer Service · Resources · Show submenu for Resources · Reports · Case Studies
Skip to content About Solutions Show submenu for Solutions Marketing Risk & Compliance Customer Experience Customer Service Resources Show submenu for Resources Reports Case Studies News Knowledge Base Consulting Careers Open main navigation Close main navigation About Solutions Show submenu for Solutions Marketing Risk & Compliance Customer Experience Customer Service Resources Show submenu for Resources Reports Case Studies News Knowledge Base Consulting Careers Request a demo Turn your unstructured customer data into real-time knowledge your teams can act on AI and humans label your data, delivering a structured stream of reliable intelligence so you can detect trends, enrich records, trigger workflows, and stay ahead of risks and opportunities. Learn how it works Trusted by leading organisations worldwide EQ Engine How we do it We collect your unstructured customer data and process it through our EQ Engine, combining machine learning, generative AI and human labelling. Context-specific labels are applied, transforming data into actionable knowledge, delivered to the right team for action via our tools or your applications. Every layer of our process, from collection to delivery, is built with a security-first approach. Sentiment Topics Finfluencer Conduct Risk Journey Channels Priority Vulnerability Make data meaningful with context-specific labels Our labels are the backbone of transforming unstructured data into something your teams can act on. Crafted with industry exp…
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Agent-Ready Spec
DataEQ
Not Agent-Ready Yet

10

/ 100 (rubric v1.1)
Category

Social Media Analytics

Pricing model

Not advertised

Tier count

0

Free tier

No

Lowest paid entry

Sales-led

Self-serve / sales-only tiers

0 / 1

Public API docs

Auth-walled

Anonymous purchase path

No

Machine-readable pricing

Not published

Last refreshed

2026-05-06

Pricing intelligenceInsights extracted from dataeq.com/
Pricing model

Sales-led pricing

Agent-purchase verdict
Sales-gated
10/100 · v2.1
Cheapest entry

Request a demo · sales-led

Actions
Open live pricing page
Verdict reflects Not Agent-Ready Yet status under rubric v1.1. Source observed at https://dataeq.com/.
Agent-friendly features1 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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