Dreamlit AI

Dreamlit AI provides AI‑driven lifecycle email automation, offering playbooks and expert‑run autopilot services to help businesses recover lost revenue through targeted activation, onboarding and win‑back email campaigns. Built by engineers from Google, Netflix, Stanford and Harmonic AI, the platform combines large‑language‑model agents with proven marketing strategies to run, test and optimise email flows at scale.

Dreamlit AI is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Email, Automation, and Lifecycle.

Dreamlit AI’s developer surface includes pricing, documentation, changelog, engineering blog, getting-started guide, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

31.1/100 thin Agent 25/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 API 1 MCP Servers

Company Artificial Intelligence Email Automation Lifecycle Marketing

Kin Score

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

Composite quality — 31.1/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 4.0 / 17

Access Clarity 13.0 / 17

Operational Transparency 1.7 / 11

Contract Governance 1.9 / 10

Discoverability 4.8 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

7 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
Operational Transparency scores 15.8 — up to +10.9 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/dreamlit-ai/apis.yml: open an issue on github.com/api-evangelist/dreamlit-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 →

Standards implemented 3

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

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

Dreamlit AI API

API for Dreamlit AI email automation platform

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Dreamlit AI MCP Server

Remote MCP server at mcp.dreamlit.ai.

MCP SERVER

Dreamlit AI API pricing

Prices published by Dreamlit AI, read 2026-11-06 from dreamlit.ai/pricing.

Plan	Price
Pro	$20/month
Scale	$99/month
Enterprise	Custom

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Dreamlit Ai Plans Pricing

3 plans

PLANS

Security Posture 1

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

Dreamlit Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Login

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

WellKnown

WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

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: dreamlit-ai
name: Dreamlit AI
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  probe_state: unreadable
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://dreamlit.ai/opengraph-image.png
description: Dreamlit AI provides AI‑driven lifecycle email automation, offering playbooks and expert‑run autopilot services
  to help businesses recover lost revenue through targeted activation, onboarding and win‑back email campaigns. Built by engineers
  from Google, Netflix, Stanford and Harmonic AI, the platform combines large‑language‑model agents with proven marketing
  strategies to run, test and optimise email flows at scale.
url: https://artifacts.apis.io/dreamlit-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-06 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-05'
modified: '2026-11-05'
tags:
- Company
- Artificial Intelligence
- Email
- Automation
- Lifecycle
- Marketing
tags_raw:
- Company
- AI
- Email
- Automation
- Lifecycle
- Marketing
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/dreamlit-ai-plans-pricing.yml
- type: Conformance
  url: conformance/dreamlit-ai-conformance.yml
- type: LLMsTxt
  url: llms/dreamlit-ai-llms.txt
- type: MCPServer
  url: mcp/dreamlit-ai-mcp.yml
- type: WellKnown
  url: well-known/dreamlit-ai-well-known.yml
- type: Hosts
  url: hosts/dreamlit-ai-hosts.yml
- type: Vendors
  url: vendors/dreamlit-ai-vendors.yml
- type: TermsOfService
  url: https://dreamlit.ai/terms-of-service
- type: PrivacyPolicy
  url: https://dreamlit.ai/privacy-policy
- type: Pricing
  url: https://dreamlit.ai/pricing
- type: Login
  url: https://app.dreamlit.ai/login
- type: Documentation
  url: https://dreamlit.ai/docs
- type: ChangeLog
  url: https://dreamlit.ai/changelog
- type: Blog
  url: https://dreamlit.ai/blog
- type: GettingStarted
  url: https://dreamlit.ai/docs/getting-started/introduction
- type: DomainSecurity
  url: security/dreamlit-ai-domain-security.yml
- type: Website
  url: https://dreamlit.ai/
apis:
- name: Dreamlit AI API
  description: API for Dreamlit AI email automation platform
  humanURL: https://dreamlit.ai/docs
  baseURL: null
  aid: dreamlit-ai:dreamlit-ai-api
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: No OpenAPI, AsyncAPI, GraphQL, or other machine‑readable contract was found despite public documentation.
  evidence:
  - url: https://api.dreamlit.ai/openapi.json
    status: null
  checked: '2026-11-06'
x-enrichment:
  date: '2026-11-06'
  status: enriched
  artifacts_added: 19
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Dreamlit AI API — frequently asked questions

Does Dreamlit AI have an API?

Yes. APIs.io lists 1 API from Dreamlit AI, including Dreamlit AI API.

How much does the Dreamlit AI API cost?

Dreamlit AI publishes its prices; its Pro plan is $20/month as of 2026-11-06. APIs.io lists 3 pricing plans for Dreamlit AI, with each plan's price, limits and inclusions under Pricing on this page.

Does Dreamlit AI have an MCP server?

Yes. APIs.io lists 1 MCP server for Dreamlit AI: Remote MCP server at mcp.dreamlit.ai.

Is the Dreamlit AI API ready for AI agents?

Dreamlit AI has a Kin Score of 31.1 out of 100 (thin) and an Agent Readiness score of 25.0 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

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Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
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.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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