# Arc Research

**Canonical:** https://apis.io/providers/getarcresearch-com/  
**Website:** https://getarcresearch.com/  
**APIs profiled:** 0

Arc Research provides a platform for commodity market data, research, and analytics. Users can access real‑time price feeds, historical data, and analytical tools across energy, metals, agriculture, and livestock markets. The service includes customizable dashboards, API access for developers, and collaborative research features, aiming to empower traders, analysts, and institutions with comprehensive market intelligence.

## Kin Score — 19.7 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 58.9 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 45.2 |
| Access Clarity | 27.7 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.8 (matched via fallback).

## Agent readiness — 21.6 (agent-aware)

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

## Access

Self-serve signup — onboarding: self-serve, pricing: unknown, trial: no (confidence: low).

## Security (2)

- **Arc Research Authentication** — 1 scheme
- **Arc Research Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Commodity, Data, Analytics, Research, Platform

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