# Jala

**Canonical:** https://apis.io/providers/jala/  
**Website:** https://jala.tech  
**APIs profiled:** 0

JALA is an Indonesian aquaculture technology company providing end-to-end solutions for the shrimp farming industry, describing itself as a fully connected system powered by data farmers can trust. It connects farmers, processors, and buyers through the JALA App for real-time pond monitoring and data analytics, the Baruni technology platform, farming supplies (post-larvae, feed, technical assistance), harvest and cold-chain logistics services, and traceable certified supply chains for processors and buyers. Backed by 500 Global, JALA operates a consumer/operator SaaS platform (app.jala.tech) rather than a public developer API program. This profile was surfaced as a portfolio-company lead and enriched by the pipeline.

## Kin Score — 14.6 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 14.6).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 16.7 |
| Commercial Clarity | 27.6 |
| Access Clarity | 27.6 |

## 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).

## Security (1)

- **Jala Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Aquaculture, Agriculture, Shrimp Farming, Supply Chain, Traceability, Indonesia, Data Analytics, IoT

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