# Pecan

**Canonical:** https://apis.io/providers/pecan/  
**Website:** https://www.pecan.ai/  
**APIs profiled:** 0

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.

## Kin Score — 25.2 / 100 (emerging)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 25.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 12.5 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 26.1 |
| Commercial Clarity | 60.5 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (2)

- **Pecan Domain Security** — TLSv1.3 · HSTS · DMARC
- **Pecan Trust Center** — ISO 27001, SOC 2 Type II

## Tags

Company, Ai, Predictive Analytics, Machine Learning, Data Science, Forecasting, Business Intelligence

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/pecan/). Scores are computed from the provider's own public artifacts under a published rubric.