# AwardCast AI

**Canonical:** https://apis.io/providers/awardcast-ai/  
**Website:** https://awardcast.ai/  
**APIs profiled:** 1

AwardCast AI forecasts the U.S. federal award price range, the competition you should expect, and how agencies have paid before, drawing from millions of real federal awards. The platform helps contractors and agencies make data‑driven bidding decisions.

## Kin Score — 24.0 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-3.7 from 27.7).

| Facet | Score |
|---|---|
| Discoverability | 65.0 |
| Contract Quality | 24.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 6.4 |
| Access Clarity | 47.4 |

Regulatory layer — **Government & Public Sector**: 18.2 (matched via tags).

## Agent readiness — 22.4 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | unknown |
| Well Known Catalog | yes |
| 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 · Open access — onboarding: open, pricing: paid, trial: no (confidence: medium).

## APIs (1)

- **AwardCast AI MCP** — MCP tool list providing search, fetch, and forecasting utilities for US federal contract data.

## MCP servers (1)

- **AwardCast AI MCP Server** — Remote MCP server at awardcast.ai.

## Security (2)

- **Awardcast Ai Authentication** — 0 schemes
- **Awardcast Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Awardcast Ai Plans Pricing**

## Tags

Artificial Intelligence, Forecasting, Government, Contracts, Pricing

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