Pecan AI

Pecan AI is a predictive analytics platform that lets business teams build and deploy machine-learning models without data-science expertise. Its AI agents turn a business question into a working predictive model, covering customer churn, customer lifetime value (LTV), lead scoring, demand forecasting, upsell and cross-sell, campaign ROAS, fraud and chargeback prevention, and customer winback. Users connect their data (including Databricks and cloud warehouses), let Pecan generate and evaluate models, and produce predictions for marketing, sales, finance, and operations teams. Pecan is backed by GV and Insight Partners. The company operates a SaaS web application and publishes no public developer API, SDK, or OpenAPI at this time; this profile captures its identity, security posture, and marketing surface.

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

Pecan AI’s developer surface includes documentation, support, engineering blog, pricing, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub

22.6/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyAiPredictive AnalyticsMachine LearningData ScienceForecastingCustomer AnalyticsSaaS

Kin Score

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

Composite quality — 22.6/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 3.0 / 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-ai: 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 1

Portal, sign-up, and the first successful call

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

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: pecan-ai
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/pecan-ai.png
name: Pecan AI
description: Pecan AI is a predictive analytics platform that lets business teams build and deploy machine-learning models
  without data-science expertise. Its AI agents turn a business question into a working predictive model, covering customer
  churn, customer lifetime value (LTV), lead scoring, demand forecasting, upsell and cross-sell, campaign ROAS, fraud and
  chargeback prevention, and customer winback. Users connect their data (including Databricks and cloud warehouses), let Pecan
  generate and evaluate models, and produce predictions for marketing, sales, finance, and operations teams. Pecan is backed
  by GV and Insight Partners. The company operates a SaaS web application and publishes no public developer API, SDK, or OpenAPI
  at this time; this profile captures its identity, security posture, and marketing surface.
url: https://raw.githubusercontent.com/api-evangelist/pecan-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- gv
- insight-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Ai
- Predictive Analytics
- Machine Learning
- Data Science
- Forecasting
- Customer Analytics
- SaaS
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: Support
  url: https://www.pecan.ai/contact/
- type: Blog
  url: https://www.pecan.ai/blog/
- type: Pricing
  url: https://www.pecan.ai/pricing/
- type: Login
  url: https://app.pecan.ai
- type: GitHubOrganization
  url: https://github.com/pecan-ai
- type: PrivacyPolicy
  url: https://www.pecan.ai/privacy/
- type: TermsOfService
  url: https://www.pecan.ai/license-agreement/
- type: Compliance
  url: https://www.pecan.ai/platform/data-security/
- type: TrustCenter
  url: https://www.pecan.ai/platform/data-security/
- type: Conformance
  url: conformance/pecan-ai-conformance.yml
- type: DomainSecurity
  url: security/pecan-ai-domain-security.yml
- type: LLMsTxt
  url: llms/pecan-ai-llms.txt
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 4
  pass: local-v1
  notes: 'Re-run pass: confirmed no public API/OpenAPI/SDK surface (no api./developer./docs. subdomains; all /.well-known/*
    return 404; llms.txt is Pecan''s real published file). Added verified GitHubOrganization pointer (github.com/pecan-ai,
    3 public repos).'