# saka-run

**Canonical:** https://apis.io/providers/saka-run/  
**Website:** https://saka.run/  
**APIs profiled:** 1

Saka-run provides local business prospect lists with source references, enabling agencies and freelancers to build targeted outreach lists. The platform offers industry and location based searches, preview of business details, and paid export of records with contact information. It emphasizes data quality, transparent sourcing, and flexible pricing for various business needs, positioning itself as a comprehensive solution for local market intelligence and prospecting.

## Kin Score — 28.6 / 100 (thin)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 52.4 |
| Access Clarity | 44.7 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 29.4 (matched via fallback).

## Agent readiness — 20.7 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | served |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | unknown |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## APIs (1)

- **Saka Run API** — Saka Run provides a prospecting API for local business data, documented at the developer portal.

## Security (2)

- **Saka Run Authentication** — 1 scheme
- **Saka Run Domain Security** — TLSv1.3

## Tags

Company, Data, Prospecting, Marketing, SaaS

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