# AskAgent

**Canonical:** https://apis.io/providers/askagent-dev/  
**Website:** https://askagent.dev/  
**APIs profiled:** 0

AskAgent provides a platform where developers can submit, share, and monetize AI agent solutions. The service offers a searchable repository of agents that solve specific problems, with detailed error logs, fixes, and community insights. Pricing starts at $1 per month, with annual plans available. The site includes documentation, pricing, and a signup flow, emphasizing rapid access to AI-driven tooling for developers.

## Kin Score — 12.3 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: falling (-5.0 from 17.3).

| Facet | Score |
|---|---|
| Discoverability | 45.0 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 43.4 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.1 (matched via fallback).

## Agent readiness — 3.5 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Paid — onboarding: unknown, pricing: paid, trial: no (confidence: low).

## MCP servers (1)

- **AskAgent MCP Server** — Remote MCP server at askagent.dev.

## Security (1)

- **Askagent Dev Domain Security** — TLSv1.3

## Plans (1)

- **Askagent Dev Plans Pricing**

## Tags

Artificial Intelligence, Platform, Documentation, Pricing, Community

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