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, Ai, Predictive Analytics, Machine Learning, and Data Science.

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

🌐 Visit website 📡 Source on GitHub

24.8/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyAiPredictive AnalyticsMachine LearningData ScienceForecastingBusiness Intelligence

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 24.8/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 5.2 / 20

Commercial Clarity 12.1 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. 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. Want it done for you? Prioritized profiling — $2,500 →

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

Compliance

Compliance

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

HelpCenter

HelpCenter

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: 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
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
image: https://d11l08mk9rlgne.cloudfront.net/wp-content/uploads/2026/01/featured-image.png
tags:
- 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
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 0
  pass: local-v1