Forecastr

Forecastr is a startup financial planning and forecasting platform, founded in 2018 in Louisville, Kentucky, that helps founders and finance teams build investor-ready financial models, track cash flow and runway, plan headcount, budget expenses, and run what-if scenario analysis. It pairs cloud-based forecasting software (a spreadsheet-style formula builder, pre-built templates, drag-and-drop dashboards, and shareable live models) with fractional CFO services, and keeps actuals current through accounting integrations with QuickBooks Online and Xero. Forecastr is an API consumer of those accounting platforms rather than a public API provider; it publishes no developer API, OpenAPI specification, or SDKs at this time.

Forecastr is profiled on the APIs.io network. Tagged areas include Company, Financial Forecasting, Financial Modeling, Fintech, and Startups.

Forecastr’s developer surface includes pricing, engineering blog, support, signup flow, and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

16.3/100 emerging ▬ flat Agent 12/100 agent aware Front door AI 3/6 light Heartbeat 75/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

CompanyFinancial ForecastingFinancial Modeling Fintech Startups Fundraising CFO Services Budgeting Cash Flow Software-as-a-Service

Kin Score

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

Composite quality — 16.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 7.6 / 17

Operational Transparency 0.9 / 11

Contract Governance 0.0 / 10

Discoverability 4.4 / 9

Regulatory Posture 2.1 / 15

Agent readiness — 12/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 5 / 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
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
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

11 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 7.1 — up to +18.6 composite points
Operational Transparency scores 7.9 — 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/forecastr/apis.yml: open an issue on github.com/api-evangelist/forecastr 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 2

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 (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

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

Forecastr MCP Server

Remote MCP server at mcp.forecastr.co over HTTP.

MCP SERVER

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Forecastr

SLA

Security Posture 1

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

Forecastr Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: forecastr
name: Forecastr
description: Forecastr is a startup financial planning and forecasting platform, founded in 2018 in Louisville, Kentucky,
  that helps founders and finance teams build investor-ready financial models, track cash flow and runway, plan headcount,
  budget expenses, and run what-if scenario analysis. It pairs cloud-based forecasting software (a spreadsheet-style formula
  builder, pre-built templates, drag-and-drop dashboards, and shareable live models) with fractional CFO services, and keeps
  actuals current through accounting integrations with QuickBooks Online and Xero. Forecastr is an API consumer of those accounting
  platforms rather than a public API provider; it publishes no developer API, OpenAPI specification, or SDKs at this time.
url: https://raw.githubusercontent.com/api-evangelist/forecastr/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
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: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://www.forecastr.co/hubfs/financial-forecasting-software.png
tags:
- Company
- Financial Forecasting
- Financial Modeling
- Fintech
- Startups
- Fundraising
- CFO Services
- Budgeting
- Cash Flow
- Software-as-a-Service
tags_raw:
- Company
- Financial Forecasting
- Financial Modeling
- FinTech
- Startups
- Fundraising
- CFO Services
- Budgeting
- Cash Flow
- SaaS
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.forecastr.co/
- type: Pricing
  url: https://www.forecastr.co/pricing
- type: Blog
  url: https://www.forecastr.co/blog
- type: Support
  url: https://faq.forecastr.co/
- type: TermsOfService
  url: https://www.forecastr.co/terms
- type: PrivacyPolicy
  url: https://www.forecastr.co/privacy
- type: SignUp
  url: https://cta-redirect.hubspot.com/cta/redirect/6073939/d465558f-7fd5-4745-9ba3-dcac75141b87
- type: StatusPage
  url: https://status.forecastr.co/
- type: Lifecycle
  url: lifecycle/forecastr-lifecycle.yml
- type: DomainSecurity
  url: security/forecastr-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Forecastr API — frequently asked questions

Does Forecastr have an MCP server?

Yes. APIs.io lists 1 MCP server for Forecastr: Remote MCP server at mcp.forecastr.co over HTTP.

Is the Forecastr API ready for AI agents?

Forecastr has a Kin Score of 16.3 out of 100 (emerging) and an Agent Readiness score of 12.2 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

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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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