topic-scorer: Taxonomy Scoring over MCP by PixelCove

x402

topic-scorer: Taxonomy Scoring over MCP by PixelCove is a paid API for AI agents from topic-scorer.pixelcove.co, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-11).

Scores a text document against 11,485 public taxonomy categories and returns ranked matches plus missing phrases needed to improve targeting.

Price / call$0.05

Seller volume →—

Success—

StatusUnknown

How this service works

An MCP server that scores a page or draft against 11,485 public taxonomy categories, returns its rank per taxonomy, and gives you the phrases it still needs. $0.05 per call.

Output

Returns a JSON object containing: the number of characters scored, the embedding model used, the target category's rank and relevance score and gap to top, a phrase bank split into used and unused phrases for the target category, and a breakdown of top-ranked categories across the requested taxonomy with their IDs, full paths, ranks, and scores.

Example use cases

Ad targeting category check for landing page

“I just wrote a landing page about home solar panel installation — can you score it against the google_ads_topics taxonomy targeting 'Home & Garden > Home Improvement > Solar Energy' and tell me my rank plus what phrases I'm missing to rank #1?”

IAB content classification for editorial article

“Here's a draft article about machine learning in healthcare. Score it against the iab_content taxonomy targeting 'Technology & Computing > Artificial Intelligence' and show me the top 10 matching categories and the 30 phrases it still needs.”

LinkedIn industry alignment check for B2B copy

“I need to know if my B2B SaaS homepage copy aligns with the 'Information Technology & Services' category in the linkedin_industries taxonomy — can you score it and tell me the rank and gap phrases?”

Technical details

Endpoint

POSThttps://topic-scorer.pixelcove.co/v1/score?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need precise, ranked placement of a piece of content within a named public taxonomy (Google Ads Topics, IAB Content, IAB Audience, IAB Ad Product, Google Merchant, or LinkedIn Industries) and want actionable phrase suggestions to improve category relevance. It is ideal for content optimization workflows, ad targeting validation, and programmatic SEO. Prefer it over generic keyword tools when you need structured taxonomy-level scoring with a gap analysis, not just keyword density or raw similarity.

Side effects

Text exceeds 32,768 character limit — request rejected
Category string does not uniquely match any taxonomy entry — use topic_scorer_find to resolve
Taxonomy enum value not recognized — must be one of the six supported values
Empty or whitespace-only text input — minimum 1 character required
Payment not completed — x402 payment of $0.05 USDC required per call
Text too short to produce meaningful embeddings — low-confidence scores returned

Input

Schema · Request body

Field	Type	Description
per	integer	Rows per taxonomy.
full	boolean	Score the whole text as the mean of 8,192-char chunks instead of only the first 8,192 chars.
text	string	The page or draft text to score, as plain text or HTML (tags are stripped). 1 to 32768 characters. URLs are not fetched; send the content.
phrases	integer	Phrase bank size for the target category (0 skips it).
category	string	Target category id, full path, or a unique path substring within the taxonomy (use topic_scorer_find to look one up).
taxonomy	string	Taxonomy of the target category.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "chars": 5120,
    "model": "gemini-embedding-001",
    "target": {
      "id": "344",
      "path": "Computers & Electronics > Computer Security > Network Security",
      "rank": 1,
      "score": 0.842,
      "gap_to_top": 0
    },
    "phrases": {
      "used": [
        "firewall"
      ],
      "unused": [
        "intrusion detection"
      ]
    },
    "taxonomies": {
      "google_ads_topics": {
        "top": [
          {
            "id": "344",
            "path": "...",
            "rank": 1,
            "score": 0.842
          }
        ],
        "count": 2558,
        "label": "Google Ads Topics"
      }
    },
    "scored_chars": 5120
  }
}

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