## content_analysis/summary

`GET /v1/content_analysis/summary`

Aggregate view of a keyword's mentions: volume, per-source breakdown, sentiment split, category mix, top publishers and top terms — all computed deterministically from the mentions we could reach.

*Keyword mention summary*

| Parameter | Required | Description |
| --- | --- | --- |
| `keyword` | yes | Phrase to summarise mentions of — e.g. `kubernetes` |
| `page_type` | no | all, news, forum, social or discussion — e.g. `all` |
| `positive_connotation_threshold` | no | Score in (0,1] at or above which a mention is positive — e.g. `0.25` |
| `sentiments_connotation_threshold` | no | Score magnitude at or below which a mention is negative — e.g. `0.25` |
| `internal_list_limit` | no | Length of the embedded top-terms / category / publisher lists (max 50) — e.g. `10` |
| `depth` | no | Items fetched PER SOURCE before aggregating (max 100) — e.g. `50` |
| `filters` | no | field:op:value segments joined by ; — see /v1/content_analysis/filters — e.g. `category:eq:reliability_outage` |
| `dry_run` | no | Read a zero-credit estimate without fetching sources, running AI, or reserving credits. Cache status is a snapshot, not a guarantee at execution. — e.g. `1` |

**Cost:** 3 credits at list price per successful uncached response; variable-cost operations may quote or settle a different charge. Confirmed uncharged or refunded failures report zero. Pending reconciliation can report credits_used:null; retain request_id and the original idempotency key.

```bash
curl "https://www.monocrawl.com/v1/content_analysis/summary?keyword=kubernetes" \
  -H "x-api-key: mn_your_key_here"
```

### Response data

Illustrative abbreviated data; documented core fields are optional and may be null. Additional source fields are allowed.

```json
{
  "_warnings": [
    "example"
  ],
  "by_category": [
    {
      "code": "example",
      "mean_score": 0,
      "mentions": 0,
      "name": "example"
    }
  ],
  "by_source": [
    {
      "mentions": 0,
      "sentiment": {
        "max_score": 0,
        "mean_score": 0,
        "median_score": 0,
        "min_score": 0,
        "negative": 0,
        "neutral": 0,
        "positive": 0,
        "total": 0
      },
      "source": "example"
    }
  ],
  "filters_applied": [],
  "first_mention_at": "2026-09-01T12:00:00Z",
  "keyword": "example",
  "last_mention_at": "2026-09-01T12:00:00Z",
  "sentiment": {
    "max_score": 0,
    "mean_score": 0,
    "median_score": 0,
    "min_score": 0,
    "negative": 0,
    "neutral": 0,
    "positive": 0,
    "total": 0
  },
  "sentiment_method": {
    "ai_used": false,
    "kind": "example",
    "known_limits": [
      "example"
    ],
    "lexicon": {
      "diminishers": 0,
      "intensifiers": 0,
      "negative_terms": 0,
      "negators": 0,
      "positive_terms": 0,
      "total_terms": 0
    },
    "modifiers": {
      "diminisher": "example",
      "intensifier": "example",
      "matching": "example",
      "negation": "example"
    },
    "scoring": "example",
    "thresholds": {
      "negative": 0,
      "positive": 0
    }
  },
  "sources": [
    {
      "endpoint": "example",
      "error": "example",
      "kept": 0,
      "ok": false,
      "returned": 0,
      "source": "example",
      "status": 0
    }
  ],
  "sources_unavailable": [
    {
      "reason": "example",
      "source": "example"
    }
  ],
  "top_publishers": [
    {
      "mean_score": 0,
      "mentions": 0,
      "publisher": "example"
    }
  ],
  "top_terms": [
    {
      "mentions": 0,
      "occurrences": 0,
      "term": "example"
    }
  ],
  "uncategorised_mentions": 0,
  "volume": {
    "duplicates_removed": 0,
    "gathered_before_filters": 0,
    "mentions": 0,
    "sources_attempted": 0,
    "sources_succeeded": 0,
    "undated": 0
  }
}
```

[Field reference](https://www.monocrawl.com/docs/endpoints/content_analysis/summary#response) · [JSON Schema for response.data](https://www.monocrawl.com/schemas/content_analysis/summary.json)