Pecan website screenshot

Pecan

Pecan AI is a predictive analytics platform that lets business teams generate machine-learning predictions without data-science expertise. Users describe a business question in natural language and Pecan builds, trains, and deploys predictive models for outcomes such as customer churn, lifetime value (LTV), lead scoring, demand forecasting, upsell and cross-sell, campaign ROAS, and fraud prevention. Predictions connect back to CRMs, marketing platforms, and BI dashboards through native integrations or an API. The company markets itself as a predictive AI agent built for business outcomes rather than raw models, and runs on AWS with ISO 27001 and SOC 2 Type II security certifications.

Pecan is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Predictive Analytics, Machine-Learning, and Data Science.

Pecan’s developer surface includes documentation, engineering blog, getting-started guide, pricing, support, and 11 more developer resources.

24.8/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyArtificial IntelligencePredictive AnalyticsMachine-LearningData ScienceForecastingBusiness Intelligence

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
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.
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 github.com/api-evangelist/pecan: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 2

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

Pecan Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Pecan Trust Center

ISO 27001, SOC 2 Type II

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: pecan
name: Pecan
description: Pecan AI is a predictive analytics platform that lets business teams generate machine-learning predictions without
  data-science expertise. Users describe a business question in natural language and Pecan builds, trains, and deploys predictive
  models for outcomes such as customer churn, lifetime value (LTV), lead scoring, demand forecasting, upsell and cross-sell,
  campaign ROAS, and fraud prevention. Predictions connect back to CRMs, marketing platforms, and BI dashboards through native
  integrations or an API. The company markets itself as a predictive AI agent built for business outcomes rather than raw
  models, and runs on AWS with ISO 27001 and SOC 2 Type II security certifications.
url: https://raw.githubusercontent.com/api-evangelist/pecan/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- ggv-capital
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: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-08-08'
image: https://d11l08mk9rlgne.cloudfront.net/wp-content/uploads/2026/01/featured-image.png
tags:
- Company
- Artificial Intelligence
- Predictive Analytics
- Machine-Learning
- Data Science
- Forecasting
- Business Intelligence
tags_raw:
- Company
- Ai
- Predictive Analytics
- Machine Learning
- Data Science
- Forecasting
- Business Intelligence
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.pecan.ai/
- type: Documentation
  url: https://help.pecan.ai/en/
- type: HelpCenter
  url: https://help.pecan.ai/en/
- type: Blog
  url: https://www.pecan.ai/blog/
- type: GettingStarted
  url: https://help.pecan.ai/en/collections/3580335-getting-started
- type: GitHubOrganization
  url: https://github.com/pecan-ai
- type: Pricing
  url: https://www.pecan.ai/pricing/
- type: Login
  url: https://pecan.ai/login
- type: TermsOfService
  url: https://www.pecan.ai/license-agreement/
- type: PrivacyPolicy
  url: https://www.pecan.ai/privacy/
- type: LLMsTxt
  url: llms/pecan-llms.txt
- type: Conformance
  url: conformance/pecan-conformance.yml
- type: Compliance
  url: https://www.pecan.ai/platform/data-security/
- type: TrustCenter
  url: security/pecan-trust-center.yml
- type: DomainSecurity
  url: security/pecan-domain-security.yml
- type: Support
  url: https://www.pecan.ai/contact/
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 0
  pass: local-v1
x-merged-from:
- pecan-ai

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