# Katango

**Canonical:** https://apis.io/providers/katango/  
**APIs profiled:** 0

Katango was a Palo Alto, California mobile software startup whose smartphone app automatically organized a user's phone and social contacts into intelligent groups (circles) using clustering algorithms, so people could share and message the right subset of friends without manually building lists. The company was backed by Kleiner Perkins Caufield & Byers (through its sFund social initiative) and was acquired by Google in November 2011, with the team joining Google to work on the Google+ Circles experience. The standalone product was discontinued after the acquisition. This API Evangelist profile was created as a Kleiner Perkins portfolio lead; enrichment confirms the company is defunct with no public developer surface, API, or documentation. The katango.com domain now resolves to Google-owned infrastructure with no live site.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | 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).

## Tags

Company, Consumer, Mobile, Social, Contacts, Defunct, Acquired, Google, Kleiner Perkins

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