CalmLoop

CalmLoop is a calm task manager offering daily focus, a morning email summary, and MCP access for AI assistants. Built by Algoza Solutions OPC Private Limited, it emphasizes distraction‑free productivity, honest pricing with a free month trial, and clear data practices. The platform provides a simple interface for planning, focus zones, and task tracking without push notifications or hidden fees.

CalmLoop is profiled on the APIs.io network. Tagged areas include Company, Task Management, Productivity, Artificial Intelligence, and MCP.

CalmLoop’s developer surface includes support, pricing, and 7 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

13.1/100 emerging Agent 0/100 human only Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

Company Task Management Productivity Artificial Intelligence MCP

Kin Score

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

Composite quality — 13.1/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 7.4 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.4 / 15

Agent readiness — 0/100 · 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 0 / 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

13 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 2.4 — up to +19.5 composite points
Operational Transparency scores 0.0 — up to +13.0 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/calmloop-in/apis.yml: open an issue on github.com/api-evangelist/calmloop-in 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 →

CalmLoop API pricing

Prices published by CalmLoop, read 2026-11-04 from calmloop.in/pricing.

Plan	Price
Monthly	$1/mo
Yearly	$10/yr

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Calmloop In Plans Pricing

2 plans

PLANS

Security Posture 1

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

Calmloop In Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

TermsOfService

PrivacyPolicy

Pricing

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: calmloop-in
name: CalmLoop
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://calmloop.in/calmloop-og.png
description: CalmLoop is a calm task manager offering daily focus, a morning email summary, and MCP access for AI assistants.
  Built by Algoza Solutions OPC Private Limited, it emphasizes distraction‑free productivity, honest pricing with a free month
  trial, and clear data practices. The platform provides a simple interface for planning, focus zones, and task tracking without
  push notifications or hidden fees.
url: https://artifacts.apis.io/calmloop-in/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-04 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-04'
modified: '2026-11-04'
tags:
- Company
- Task Management
- Productivity
- Artificial Intelligence
- MCP
tags_raw:
- Company
- Task-Management
- Productivity
- AI
- MCP
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/calmloop-in-plans-pricing.yml
- type: Hosts
  url: hosts/calmloop-in-hosts.yml
- type: TermsOfService
  url: https://calmloop.in/terms
- type: Support
  url: https://calmloop.in/support
- type: PrivacyPolicy
  url: https://calmloop.in/privacy
- type: Pricing
  url: https://calmloop.in/pricing
- type: Login
  url: https://calmloop.in/login
- type: DomainSecurity
  url: security/calmloop-in-domain-security.yml
- type: Website
  url: https://calmloop.in/
apis: []
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: The provider's website offers product pages but no public API documentation or machine‑readable spec.
  evidence:
  - url: https://calmloop.in/
    status: 200
  checked: '2026-11-04'
x-enrichment:
  date: '2026-11-04'
  status: enriched
  artifacts_added: 10
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

CalmLoop API — frequently asked questions

How much does the CalmLoop API cost?

CalmLoop publishes its prices; its Monthly plan is $1/mo as of 2026-11-04. APIs.io lists 2 pricing plans for CalmLoop, with each plan's price, limits and inclusions under Pricing on this page.

Is the CalmLoop API ready for AI agents?

CalmLoop has a Kin Score of 13.1 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), 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.

https://apis.io/mcp

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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Every operation they expose

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How their score was established

curl "https://apis.io/api/v1/providers/calmloop-in/evidence"

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