# Dayjob

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

Dayjob is an AI-powered scheduling agent built for waste management and skip hire fleets, operated by Gaea Technology Ltd and backed by Y Combinator (Spring 2026). Its autonomous agents analyze millions of potential route combinations to build optimized daily schedules that factor in travel times, skip sizes, driver availability and priority job assignments, then continuously re-optimize in real time as new jobs, driver changes and exceptions arrive. Dayjob integrates with existing ERP and telematics systems (Weighsoft, PurGo, Wastelogics, plus custom report setups) and claims customers see revenue and efficiency gains, tighter time-window hit rates and materially less planning admin. It is a vertical logistics application rather than an API platform - no public developer portal, API reference or SDKs are published at this time. This profile has been enriched from the company's public website.

## Kin Score — 7.1 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 7.1).

| 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 | 10.5 |
| Access Clarity | 10.5 |

## 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)

- **Dayjob Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Logistics, Transportation, Waste Management, Fleet Management, Scheduling, Route Optimization, Artificial Intelligence

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