Data Parrot

Data Parrot AI provides an AI‑powered revenue intelligence platform that transforms CRM data into actionable insights. It helps CEOs and CROs see deal health, pipeline status, sales activity, and customer engagement, enabling faster decision‑making and higher win rates across the organization.

Data Parrot is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Revenue Intelligence, CRM, Sales Analytics, and Data Platform.

Data Parrot’s developer surface includes changelog, signup flow, pricing, engineering blog, getting-started guide, documentation, and 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.6/100 thin Agent 3/100 human only Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

1 API

Artificial Intelligence Revenue Intelligence CRM Sales Analytics Data Platform Company

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 29.6/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 4.0 / 17

Access Clarity 13.0 / 17

Operational Transparency 2.9 / 11

Contract Governance 0.0 / 10

Discoverability 4.9 / 9

Regulatory Posture 2.7 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 23.8 — up to +15.2 composite points
Contract Governance scores 0.0 — up to +12.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/dataparrot-ai/apis.yml: open an issue on github.com/api-evangelist/dataparrot-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Data Parrot API

Public API documentation for Data Parrot AI providing revenue intelligence features.

Data Parrot API pricing

Prices published by Data Parrot, read 2026-11-05 from dataparrot.ai/pricing.

Plan	Price
Starter	$0
Pro	$96/month + $21 per user/month Billed yearly
Max	$200/month + $21 per user/month Billed yearly
Enterprise	Contact us

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Dataparrot Ai Plans Pricing

4 plans

PLANS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Dataparrot Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Dataparrot Ai Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Access & Security 4

Authentication, authorization, and security posture

Security

Security

SecurityTxt

SecurityTxt

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

ChangeLog

ChangeLog

Commercial 4

Pricing, plans, and the legal terms of use

Plans

TermsOfService

PrivacyPolicy

Pricing

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: dataparrot-ai
name: Data Parrot
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  probe_state: unreadable
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://dataparrot.ai/screenshots/deals.png
description: Data Parrot AI provides an AI‑powered revenue intelligence platform that transforms CRM data into actionable
  insights. It helps CEOs and CROs see deal health, pipeline status, sales activity, and customer engagement, enabling faster
  decision‑making and higher win rates across the organization.
url: https://artifacts.apis.io/dataparrot-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-05 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-05'
modified: '2026-11-05'
tags:
- Artificial Intelligence
- Revenue Intelligence
- CRM
- Sales Analytics
- Data Platform
- Company
tags_raw:
- AI
- Revenue Intelligence
- CRM
- Sales Analytics
- Data Platform
- Company
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/dataparrot-ai-plans-pricing.yml
- type: ChangeLog
  url: changelog/dataparrot-ai-changelog.yml
- type: Security
  url: security/dataparrot-ai-vulnerability-disclosure.yml
- type: LLMsTxt
  url: llms/dataparrot-ai-llms.txt
- type: SecurityTxt
  url: well-known/dataparrot-ai-security.txt
- type: WellKnown
  url: well-known/dataparrot-ai-well-known.yml
- type: Hosts
  url: hosts/dataparrot-ai-hosts.yml
- type: Vendors
  url: vendors/dataparrot-ai-vendors.yml
- type: TermsOfService
  url: https://dataparrot.ai/terms-of-use
- type: SignUp
  url: https://dataparrot.ai/signup
- type: PrivacyPolicy
  url: https://dataparrot.ai/privacy-policy
- type: Pricing
  url: https://dataparrot.ai/pricing
- type: ChangeLog
  url: https://dataparrot.ai/docs/changelog
- type: Blog
  url: https://dataparrot.ai/blog
- type: GettingStarted
  url: https://dataparrot.ai/md/docs/getting-started/custom-ai-properties-in-hubspot
- type: Documentation
  url: https://help.dataparrot.ai/
- type: VulnerabilityDisclosure
  url: security/dataparrot-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/dataparrot-ai-domain-security.yml
- type: Website
  url: https://dataparrot.ai/
apis:
- name: Data Parrot API
  description: Public API documentation for Data Parrot AI providing revenue intelligence features.
  humanURL: https://dataparrot.ai/docs
  baseURL: null
  aid: dataparrot-ai:data-parrot-api
x-coverage:
  state: unreadable
  reason: js-rendered-docs
  detail: Docs site https://dataparrot.ai/docs returns a JavaScript challenge preventing static retrieval of API specs.
  evidence:
  - url: https://dataparrot.ai/docs
    status: 403
  checked: '2026-11-05'
x-enrichment:
  date: '2026-11-05'
  status: enriched
  artifacts_added: 14
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Data Parrot API — frequently asked questions

Does Data Parrot have an API?

Yes. APIs.io lists 1 API from Data Parrot, including Data Parrot API.

How much does the Data Parrot API cost?

Data Parrot publishes its prices; its Starter plan is $0 as of 2026-11-05. APIs.io lists 4 pricing plans for Data Parrot, with each plan's price, limits and inclusions under Pricing on this page.

Is the Data Parrot API ready for AI agents?

Data Parrot has a Kin Score of 29.6 out of 100 (thin) and an Agent Readiness score of 2.9 (human-only), scored by API Evangelist on 2026-11-06.

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get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
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apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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