# Blend AI

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

Blend AI is an AI‑powered advertising platform that helps brands automate budget allocation, audience optimization, and creative testing across Google, Meta, TikTok and Bing. The service promises to boost ROI by using machine learning to manage campaigns, offering a demo booking for interested marketers.

## Kin Score — 16.3 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 8.3 |
| Access Clarity | 40.8 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 11.4 (matched via fallback).

## Agent readiness — 3.1 (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).

## APIs (1)

- **Blend AI API** — Blend AI provides AI‑powered advertising automation APIs as described on the developer portal.

## Security (1)

- **Blend Ai Com Domain Security** — TLSv1.3 · DMARC

## Plans (1)

- **Blend Ai Com Plans Pricing**

## Tags

Company, Advertising, Artificial Intelligence, Marketing, Automation

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