Memoir

Memoir, operated by Tachyon Labs, Inc., is an AI-powered marketing automation platform in Y Combinator's Spring 2026 batch, founded in 2026 by Maanav Agrawal and Jason Zhan. It connects to the systems where product work happens — GitHub, Linear and Slack on every plan, plus Jira, Notion, Google Docs, Drive and CRM on higher tiers — and turns shipped product updates into multi-channel marketing content: social posts, blog posts, changelogs, launch pages, ads, demo videos and customer updates generated in the company's brand voice and routed through human approval. The product is organized around "Memory" (Atlas) for building context about a company and "Motion" (market-motion) for producing and distributing content as teams ship features. Published customers include Datost, Smol Machines, TraceRoot and Zatanna. Pricing is published at three tiers — Starter $300/mo, Scale $1,500/mo and a custom Enterprise tier — all sold through a demo conversation rather than self-serve checkout. Memoir is a marketing SaaS product with no developer program: it exposes only a private session- authenticated backend (api.trymemoir.ai answers every path, including /.well-known/*, with HTTP 401 "Not signed in") and publishes no public API, developer portal, API reference, machine-readable specification, SDK, CLI or MCP server.

Memoir is profiled on the APIs.io network. Tagged areas include Company, Marketing, Marketing Automation, Artificial Intelligence, and Content Generation.

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

🌐 Visit website 📡 Profile data on GitHub

19.4/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

Company Marketing Marketing Automation Artificial Intelligence Content GenerationDeveloper MarketingSoftware-as-a-Service Y Combinator

Kin Score

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

Composite quality — 19.4/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 0.8 / 17

Access Clarity 11.8 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.9 / 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 4.8 — up to +19.0 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/memoir/apis.yml: open an issue on github.com/api-evangelist/memoir 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 →

Memoir API pricing

Prices published by Memoir.

Plan	Price
Starter subscription	$300.00 per monthly Subscription / month
Scale subscription	$1500.00 per monthly Subscription / month
Enterprise enterprise	—

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Memoir Plans Pricing

3 plans

PLANS

Security Posture 1

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

Memoir Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

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

Pricing

Plans

TermsOfService

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: memoir
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  probe_state: none
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/memoir.png
name: Memoir
description: 'Memoir, operated by Tachyon Labs, Inc., is an AI-powered marketing automation platform in Y Combinator''s Spring
  2026 batch, founded in 2026 by Maanav Agrawal and Jason Zhan. It connects to the systems where product work happens — GitHub,
  Linear and Slack on every plan, plus Jira, Notion, Google Docs, Drive and CRM on higher tiers — and turns shipped product
  updates into multi-channel marketing content: social posts, blog posts, changelogs, launch pages, ads, demo videos and customer
  updates generated in the company''s brand voice and routed through human approval. The product is organized around "Memory"
  (Atlas) for building context about a company and "Motion" (market-motion) for producing and distributing content as teams
  ship features. Published customers include Datost, Smol Machines, TraceRoot and Zatanna. Pricing is published at three tiers
  — Starter $300/mo, Scale $1,500/mo and a custom Enterprise tier — all sold through a demo conversation rather than self-serve
  checkout. Memoir is a marketing SaaS product with no developer program: it exposes only a private session- authenticated
  backend (api.trymemoir.ai answers every path, including /.well-known/*, with HTTP 401 "Not signed in") and publishes no
  public API, developer portal, API reference, machine-readable specification, SDK, CLI or MCP server.'
url: https://raw.githubusercontent.com/api-evangelist/memoir/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-13'
tags:
- Company
- Marketing
- Marketing Automation
- Artificial Intelligence
- Content Generation
- Developer Marketing
- Software-as-a-Service
- Y Combinator
tags_raw:
- Company
- Marketing
- Marketing Automation
- Artificial Intelligence
- Content Generation
- Developer Marketing
- SaaS
- Y Combinator
apis: []
x-enrichment:
  date: '2026-08-13'
  status: minimal
  artifacts_added: 3
  pass: local-v1
x-coverage:
  state: none
  reason: no-developer-program
  detail: 'Memoir ships an end-user marketing SaaS only — there is no developer surface of any kind: www.trymemoir.ai/developers,
    /docs, /api-docs and /llms.txt all return 404 from the Vercel SPA, and the single backend host api.trymemoir.ai answers
    every path, including /openapi.json, /graphql, /mcp and /.well-known/*, with a blanket HTTP 401 {"detail":"Not signed
    in"}.'
  evidence:
  - url: https://www.trymemoir.ai/developers
    status: 404
  - url: https://www.trymemoir.ai/llms.txt
    status: 404
  - url: https://api.trymemoir.ai/openapi.json
    status: 401
  - url: https://api.trymemoir.ai/.well-known/agent-card.json
    status: 401
  checked: '2026-08-13'
common:
- type: DomainSecurity
  url: security/memoir-domain-security.yml
- type: Website
  url: https://www.trymemoir.ai/
- type: Pricing
  url: https://www.trymemoir.ai/pricing/
- type: Plans
  url: plans/memoir-plans-pricing.yml
- type: LLMsTxt
  url: llms/memoir-llms.txt
- type: Login
  url: https://www.trymemoir.ai/login
- type: TermsOfService
  url: https://www.trymemoir.ai/terms/
- type: PrivacyPolicy
  url: https://www.trymemoir.ai/privacy/
- type: Support
  url: mailto:maanav@trymemoir.ai
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io

Memoir API — frequently asked questions

How much does the Memoir API cost?

Memoir publishes its prices; its Starter plan is $300.00 per monthly Subscription / month as of 2026-08-13. APIs.io lists 3 pricing plans for Memoir, with each plan's price, limits and inclusions under Pricing on this page.

Is the Memoir API ready for AI agents?

Memoir has a Kin Score of 19.4 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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