# Atria

**Canonical:** https://apis.io/providers/askatria-ai/  
**Website:** https://askatria.ai/  
**APIs profiled:** 0

Atria provides site intelligence for teams and AI, offering AI‑driven analysis of land acquisition, zoning, permitting, and feasibility studies across the United States. Their platform scores sites, aggregates parcel data, and enables agents to query the Atria MCP server for detailed insights, supporting developers, consultants, and government agencies in making data‑informed decisions.

## Kin Score — 16.2 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: falling (-5.8 from 22.0).

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 3.6 |
| Access Clarity | 53.9 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 14.5 (matched via fallback).

## Agent readiness — 21.8 (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 | no |
| Well Known Catalog | no |
| 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

Freemium — onboarding: unknown, pricing: freemium, trial: no (confidence: low).

## Security (1)

- **Askatria Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Askatria Ai Plans Pricing**

## Tags

Company, Artificial Intelligence, Land-Intelligence, Site Selection, Zoning

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