diff --git a/README.md b/README.md
index 6cdb1783..bf126ed8 100644
--- a/README.md
+++ b/README.md
@@ -41,6 +41,17 @@ echo "Contact Jan Novák at jan.novak@example.com" | bunx @stll/anonymize-cli
 - NER, coreference handling, and confidence boosting
 - Native, browser, and Vite-compatible entrypoints
 
+## Benchmarks
+
+[`packages/bench`](packages/bench) holds reproducible throughput and
+quality benchmarks for the deterministic pipeline, plus comparison
+runs of Microsoft Presidio and compromise on the same legal-contract
+corpus scored by the same scorer. See
+[`packages/bench/results/RESULTS.md`](packages/bench/results/RESULTS.md)
+for current numbers and
+[`packages/bench/README.md`](packages/bench/README.md) for the
+methodology and its limits.
+
 ## Development
 
 ```bash
@@ -70,3 +81,4 @@ bun run hooks:install
 - [`packages/anonymize`](packages/anonymize)
 - [`packages/data`](packages/data)
 - [`packages/anonymize/wasm`](packages/anonymize/wasm)
+- [`packages/bench`](packages/bench)
diff --git a/bun.lock b/bun.lock
index c4d022c5..638359b2 100644
--- a/bun.lock
+++ b/bun.lock
@@ -64,6 +64,7 @@
       "devDependencies": {
         "@types/node": "^25.9.2",
         "bun-types": "^1.3.14",
+        "compromise": "^14.15.1",
         "typescript": "^6.0.3",
       },
     },
@@ -346,12 +347,16 @@
 
     "cac": ["cac@7.0.0", "", {}, "sha512-tixWYgm5ZoOD+3g6UTea91eow5z6AAHaho3g0V9CNSNb45gM8SmflpAc+GRd1InC4AqN/07Unrgp56Y94N9hJQ=="],
 
+    "compromise": ["compromise@14.15.1", "", { "dependencies": { "efrt": "2.7.0", "grad-school": "0.0.5", "suffix-thumb": "5.0.2" } }, "sha512-9F3UkUaEU1PPz2fgStkE/TI4tk++0wHxS8xfWq9PQWL/v28dy8bEcPVVSLh3dISIRD7PEhJ8YTzHRKF8y9tnLA=="],
+
     "defu": ["defu@6.1.7", "", {}, "sha512-7z22QmUWiQ/2d0KkdYmANbRUVABpZ9SNYyH5vx6PZ+nE5bcC0l7uFvEfHlyld/HcGBFTL536ClDt3DEcSlEJAQ=="],
 
     "detect-libc": ["detect-libc@2.1.2", "", {}, "sha512-Btj2BOOO83o3WyH59e8MgXsxEQVcarkUOpEYrubB0urwnN10yQ364rsiByU11nZlqWYZm05i/of7io4mzihBtQ=="],
 
     "dts-resolver": ["dts-resolver@3.0.0", "", { "peerDependencies": { "oxc-resolver": ">=11.0.0" }, "optionalPeers": ["oxc-resolver"] }, "sha512-1T1f+z+4tl9XD+m+0HBgWoL/nm0bOIffyWaUuUSBlFg/86IWvfx+wjNaO/ybU0AJzG9/Mi5hBUgGV6zCmWEN7Q=="],
 
+    "efrt": ["efrt@2.7.0", "", {}, "sha512-/RInbCy1d4P6Zdfa+TMVsf/ufZVotat5hCw3QXmWtjU+3pFEOvOQ7ibo3aIxyCJw2leIeAMjmPj+1SLJiCpdrQ=="],
+
     "empathic": ["empathic@2.0.1", "", {}, "sha512-YGRs8knHhKHVShLkFET/rWAU8kmHbOV5LwN938RHI0pljAJ1Gf6SzXsSmRaEzcXTtOOmVqJ5+WtQPL5uigY50Q=="],
 
     "estree-walker": ["estree-walker@3.0.3", "", { "dependencies": { "@types/estree": "^1.0.0" } }, "sha512-7RUKfXgSMMkzt6ZuXmqapOurLGPPfgj6l9uRZ7lRGolvk0y2yocc35LdcxKC5PQZdn2DMqioAQ2NoWcrTKmm6g=="],
@@ -362,6 +367,8 @@
 
     "get-tsconfig": ["get-tsconfig@5.0.0-beta.5", "", { "dependencies": { "resolve-pkg-maps": "^1.0.0" } }, "sha512-/6gFNr0N04nob252sTQxyFLi3eKFRqIg1I87YcqAMT1i6SQrSF6KujUEQrtrjMV0H/eejTCltLdDSTEMzHbnsQ=="],
 
+    "grad-school": ["grad-school@0.0.5", "", {}, "sha512-rXunEHF9M9EkMydTBux7+IryYXEZinRk6g8OBOGDBzo/qWJjhTxy86i5q7lQYpCLHN8Sqv1XX3OIOc7ka2gtvQ=="],
+
     "hookable": ["hookable@6.1.1", "", {}, "sha512-U9LYDy1CwhMCnprUfeAZWZGByVbhd54hwepegYTK7Pi5NvqEj63ifz5z+xukznehT7i6NIZRu89Ay1AZmRsLEQ=="],
 
     "import-without-cache": ["import-without-cache@0.4.0", "", {}, "sha512-NkJQA7oZ4YHQhd2+H3BoRFKF3d/XNsiKpHZCQEMH9pDX27hQQLsTyOocyRgaIVtf8gHX3Nt3LPkR4e5EdtPAGQ=="],
@@ -446,6 +453,8 @@
 
     "stopwords-iso": ["stopwords-iso@1.1.0", "", {}, "sha512-I6GPS/E0zyieHehMRPQcqkiBMJKGgLta+1hREixhoLPqEA0AlVFiC43dl8uPpmkkeRdDMzYRWFWk5/l9x7nmNg=="],
 
+    "suffix-thumb": ["suffix-thumb@5.0.2", "", {}, "sha512-I5PWXAFKx3FYnI9a+dQMWNqTxoRt6vdBdb0O+BJ1sxXCWtSoQCusc13E58f+9p4MYx/qCnEMkD5jac6K2j3dgA=="],
+
     "tinyexec": ["tinyexec@1.1.2", "", {}, "sha512-dAqSqE/RabpBKI8+h26GfLq6Vb3JVXs30XYQjdMjaj/c2tS8IYYMbIzP599KtRj7c57/wYApb3QjgRgXmrCukA=="],
 
     "tinyglobby": ["tinyglobby@0.2.16", "", { "dependencies": { "fdir": "^6.5.0", "picomatch": "^4.0.4" } }, "sha512-pn99VhoACYR8nFHhxqix+uvsbXineAasWm5ojXoN8xEwK5Kd3/TrhNn1wByuD52UxWRLy8pu+kRMniEi6Eq9Zg=="],
diff --git a/packages/bench/README.md b/packages/bench/README.md
index 9adaf483..f1c7a674 100644
--- a/packages/bench/README.md
+++ b/packages/bench/README.md
@@ -97,6 +97,65 @@ bun run bench:quality -- --predictions path/to/predictions.json \
 bun run bench:render
 ```
 
+## Comparison runs
+
+Committed results include two external tools run on the same corpus
+and scored by the same scorer. Both runs are restricted (via
+`--labels`) to labels the tool claims to detect, so micro averages
+are not comparable across tools with different filters; compare per
+label.
+
+### Microsoft Presidio
+
+`comparison/presidio/run.py` (pinned deps in `requirements.txt`)
+runs `presidio-analyzer` with its documented spaCy defaults
+(`en_core_web_lg`, `de_core_news_lg`) and writes the interchange
+format. Scored labels: person, organization, email address, phone
+number, date.
+
+Read the numbers with these caveats:
+
+- **Czech is skipped entirely**: Presidio has no Czech language
+  support, so 8 of 13 corpus documents cannot be processed at all.
+- **Organizations are enabled deliberately.** Presidio ignores
+  spaCy `ORG` spans by default because they are noisy; the run
+  enables them because organizations are unavoidable in legal
+  contracts. The resulting false-positive count shows why the
+  default exists.
+- **`DATE_TIME` is broader than the reference `date` label** (it
+  also matches durations and relative time), which depresses
+  Presidio's date precision; this is a label-mapping asymmetry, not
+  purely a detection failure.
+- Labels Presidio has no recognizers for on this corpus
+  (registration numbers, tax identifiers, monetary amounts,
+  addresses as street-level spans) are excluded rather than scored
+  as zero.
+
+Reproduce:
+
+```sh
+python3 -m venv .venv && .venv/bin/pip install -r comparison/presidio/requirements.txt
+.venv/bin/python -m spacy download en_core_web_lg
+.venv/bin/python -m spacy download de_core_news_lg
+.venv/bin/python comparison/presidio/run.py
+bun src/run-quality.ts --predictions results/predictions.presidio.json \
+  --labels "person,organization,email address,phone number,date"
+bun run bench:render
+```
+
+### compromise
+
+`src/run-compromise.ts` runs the compromise NLP library (the
+closest JS-ecosystem baseline that reports spans) on the English
+documents only; scored labels: person, organization.
+
+```sh
+bun src/run-compromise.ts
+bun src/run-quality.ts --predictions results/predictions.compromise.json \
+  --labels "person,organization"
+bun run bench:render
+```
+
 ## Throughput methodology
 
 One-time costs (dictionary load, search automaton preparation) are
diff --git a/packages/bench/comparison/presidio/requirements.txt b/packages/bench/comparison/presidio/requirements.txt
new file mode 100644
index 00000000..85af9f81
--- /dev/null
+++ b/packages/bench/comparison/presidio/requirements.txt
@@ -0,0 +1,5 @@
+presidio-analyzer==2.2.359
+spacy==3.8.13
+# Models (installed via `python -m spacy download <name>`):
+#   en_core_web_lg
+#   de_core_news_lg
diff --git a/packages/bench/comparison/presidio/run.py b/packages/bench/comparison/presidio/run.py
new file mode 100644
index 00000000..727cace2
--- /dev/null
+++ b/packages/bench/comparison/presidio/run.py
@@ -0,0 +1,112 @@
+"""Runs Microsoft Presidio over the bench contract corpus and writes
+predictions in the bench interchange format (packages/bench/README.md).
+
+Czech fixtures are skipped: Presidio has no Czech language support
+(no spaCy model and no Czech recognizers); that absence is reported
+in the results rather than scored as zero.
+
+Offsets are converted from Python code-point indices to UTF-16 code
+units to match the reference annotations.
+
+Usage:
+  python run.py [--out ../../results/predictions.presidio.json]
+"""
+
+import argparse
+import json
+from pathlib import Path
+
+from presidio_analyzer import AnalyzerEngine
+from presidio_analyzer.nlp_engine import NlpEngineProvider
+
+LANGUAGE_MODELS = {"en": "en_core_web_lg", "de": "de_core_news_lg"}
+
+LABEL_MAP = {
+    "PERSON": "person",
+    "ORGANIZATION": "organization",
+    "EMAIL_ADDRESS": "email address",
+    "PHONE_NUMBER": "phone number",
+    "DATE_TIME": "date",
+}
+
+FIXTURES_DIR = (
+    Path(__file__).resolve().parents[3]
+    / "anonymize"
+    / "src"
+    / "__test__"
+    / "fixtures"
+    / "contracts"
+)
+DEFAULT_OUT = (
+    Path(__file__).resolve().parents[2] / "results" / "predictions.presidio.json"
+)
+
+
+def utf16_offsets(text: str) -> list[int]:
+    """Cumulative UTF-16 code-unit offset for each code-point index."""
+    offsets = [0] * (len(text) + 1)
+    for index, char in enumerate(text):
+        offsets[index + 1] = offsets[index] + (2 if ord(char) > 0xFFFF else 1)
+    return offsets
+
+
+def build_analyzer() -> AnalyzerEngine:
+    configuration = {
+        "nlp_engine_name": "spacy",
+        "models": [
+            {"lang_code": lang, "model_name": model}
+            for lang, model in LANGUAGE_MODELS.items()
+        ],
+        # Default Presidio config ignores ORG spans from spaCy; the
+        # comparison needs organizations, so keep only the truly
+        # non-PII tags ignored.
+        "ner_model_configuration": {
+            "labels_to_ignore": ["CARDINAL", "ORDINAL", "QUANTITY", "PERCENT"],
+        },
+    }
+    provider = NlpEngineProvider(nlp_configuration=configuration)
+    return AnalyzerEngine(
+        nlp_engine=provider.create_engine(),
+        supported_languages=list(LANGUAGE_MODELS),
+    )
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--out", type=Path, default=DEFAULT_OUT)
+    args = parser.parse_args()
+
+    analyzer = build_analyzer()
+    docs = []
+    for language_dir in sorted(FIXTURES_DIR.iterdir()):
+        language = language_dir.name
+        if language not in LANGUAGE_MODELS:
+            print(f"skipping {language}: no Presidio language support")
+            continue
+        for fixture in sorted(language_dir.glob("*.txt")):
+            text = fixture.read_text(encoding="utf-8").replace("\r\n", "\n")
+            offsets = utf16_offsets(text)
+            results = analyzer.analyze(
+                text=text, language=language, entities=list(LABEL_MAP)
+            )
+            entities = [
+                {
+                    "start": offsets[result.start],
+                    "end": offsets[result.end],
+                    "label": LABEL_MAP[result.entity_type],
+                }
+                for result in results
+            ]
+            docs.append({"id": f"{language}/{fixture.name}", "entities": entities})
+            print(f"{language}/{fixture.name}: {len(entities)} entities")
+
+    args.out.parent.mkdir(parents=True, exist_ok=True)
+    args.out.write_text(
+        json.dumps({"tool": "presidio", "docs": docs}, indent=2) + "\n",
+        encoding="utf-8",
+    )
+    print(f"written: {args.out}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/packages/bench/package.json b/packages/bench/package.json
index 809f8904..ea67da99 100644
--- a/packages/bench/package.json
+++ b/packages/bench/package.json
@@ -21,6 +21,7 @@
   "devDependencies": {
     "@types/node": "^25.9.2",
     "bun-types": "^1.3.14",
+    "compromise": "^14.15.1",
     "typescript": "^6.0.3"
   }
 }
diff --git a/packages/bench/results/RESULTS.md b/packages/bench/results/RESULTS.md
index 96dcc5ec..1eae3202 100644
--- a/packages/bench/results/RESULTS.md
+++ b/packages/bench/results/RESULTS.md
@@ -83,3 +83,71 @@ The reference annotations derive from reviewed pipeline output, so the anonymize
 | cs       |  207 |    100.0% | 100.0% | 100.0% |
 | de       |   24 |    100.0% | 100.0% | 100.0% |
 | en       |  101 |    100.0% | 100.0% | 100.0% |
+
+### compromise
+
+4 documents, 101 reference entities. Scored labels: person, organization.
+
+Skipped 9 corpus documents (no support for: cs, de).
+
+#### exact match
+
+| Label           | Gold | Precision | Recall |    F1 |
+| --------------- | ---: | --------: | -----: | ----: |
+| organization    |   19 |     12.5% |  15.8% | 14.0% |
+| person          |   19 |     40.0% |  63.2% | 49.0% |
+| **all (micro)** |   38 |     27.8% |  39.5% | 32.6% |
+
+| Language | Gold | Precision | Recall |    F1 |
+| -------- | ---: | --------: | -----: | ----: |
+| en       |   38 |     27.8% |  39.5% | 32.6% |
+
+#### overlap match
+
+| Label           | Gold | Precision | Recall |    F1 |
+| --------------- | ---: | --------: | -----: | ----: |
+| organization    |   19 |     58.3% |  73.7% | 65.1% |
+| person          |   19 |     53.3% |  84.2% | 65.3% |
+| **all (micro)** |   38 |     55.6% |  78.9% | 65.2% |
+
+| Language | Gold | Precision | Recall |    F1 |
+| -------- | ---: | --------: | -----: | ----: |
+| en       |   38 |     55.6% |  78.9% | 65.2% |
+
+### presidio
+
+5 documents, 125 reference entities. Scored labels: person, organization, email address, phone number, date.
+
+Skipped 8 corpus documents (no support for: cs).
+
+#### exact match
+
+| Label           | Gold | Precision | Recall |    F1 |
+| --------------- | ---: | --------: | -----: | ----: |
+| date            |   27 |     14.4% |  51.9% | 22.6% |
+| email address   |    1 |      0.0% |   0.0% |  0.0% |
+| organization    |   23 |      6.9% |  60.9% | 12.4% |
+| person          |   24 |     59.3% |  66.7% | 62.7% |
+| phone number    |    1 |      0.0% |   0.0% |  0.0% |
+| **all (micro)** |   76 |     13.4% |  57.9% | 21.8% |
+
+| Language | Gold | Precision | Recall |    F1 |
+| -------- | ---: | --------: | -----: | ----: |
+| de       |   12 |     30.0% |  25.0% | 27.3% |
+| en       |   64 |     12.9% |  64.1% | 21.5% |
+
+#### overlap match
+
+| Label           | Gold | Precision | Recall |    F1 |
+| --------------- | ---: | --------: | -----: | ----: |
+| date            |   27 |     23.7% |  85.2% | 37.1% |
+| email address   |    1 |      0.0% |   0.0% |  0.0% |
+| organization    |   23 |      9.4% |  82.6% | 16.9% |
+| person          |   24 |     81.5% |  91.7% | 86.3% |
+| phone number    |    1 |     50.0% | 100.0% | 66.7% |
+| **all (micro)** |   76 |     19.8% |  85.5% | 32.2% |
+
+| Language | Gold | Precision | Recall |    F1 |
+| -------- | ---: | --------: | -----: | ----: |
+| de       |   12 |     60.0% |  50.0% | 54.5% |
+| en       |   64 |     18.6% |  92.2% | 30.9% |
diff --git a/packages/bench/results/predictions.compromise.json b/packages/bench/results/predictions.compromise.json
new file mode 100644
index 00000000..a72412aa
--- /dev/null
+++ b/packages/bench/results/predictions.compromise.json
@@ -0,0 +1,295 @@
+{
+  "tool": "compromise",
+  "docs": [
+    {
+      "id": "en/gt-biopharma-employment-amendment.txt",
+      "entities": [
+        {
+          "start": 384,
+          "end": 397,
+          "label": "person"
+        },
+        {
+          "start": 4291,
+          "end": 4306,
+          "label": "person"
+        },
+        {
+          "start": 4565,
+          "end": 4575,
+          "label": "person"
+        },
+        {
+          "start": 4591,
+          "end": 4595,
+          "label": "person"
+        },
+        {
+          "start": 4688,
+          "end": 4701,
+          "label": "person"
+        },
+        {
+          "start": 4717,
+          "end": 4724,
+          "label": "person"
+        },
+        {
+          "start": 328,
+          "end": 333,
+          "label": "organization"
+        },
+        {
+          "start": 1379,
+          "end": 1399,
+          "label": "organization"
+        },
+        {
+          "start": 1895,
+          "end": 1915,
+          "label": "organization"
+        },
+        {
+          "start": 4538,
+          "end": 4543,
+          "label": "organization"
+        }
+      ]
+    },
+    {
+      "id": "en/healthcare-trust-employment-amendment.txt",
+      "entities": [
+        {
+          "start": 129,
+          "end": 146,
+          "label": "person"
+        },
+        {
+          "start": 398,
+          "end": 416,
+          "label": "person"
+        },
+        {
+          "start": 2652,
+          "end": 2665,
+          "label": "person"
+        },
+        {
+          "start": 2679,
+          "end": 2692,
+          "label": "person"
+        },
+        {
+          "start": 2769,
+          "end": 2787,
+          "label": "person"
+        },
+        {
+          "start": 2792,
+          "end": 2810,
+          "label": "person"
+        },
+        {
+          "start": 2898,
+          "end": 2918,
+          "label": "person"
+        },
+        {
+          "start": 3207,
+          "end": 3225,
+          "label": "person"
+        },
+        {
+          "start": 8285,
+          "end": 8298,
+          "label": "person"
+        },
+        {
+          "start": 8510,
+          "end": 8523,
+          "label": "person"
+        },
+        {
+          "start": 8601,
+          "end": 8619,
+          "label": "person"
+        },
+        {
+          "start": 338,
+          "end": 343,
+          "label": "organization"
+        },
+        {
+          "start": 538,
+          "end": 554,
+          "label": "organization"
+        },
+        {
+          "start": 2628,
+          "end": 2632,
+          "label": "organization"
+        },
+        {
+          "start": 3147,
+          "end": 3152,
+          "label": "organization"
+        },
+        {
+          "start": 3346,
+          "end": 3362,
+          "label": "organization"
+        },
+        {
+          "start": 8476,
+          "end": 8480,
+          "label": "organization"
+        }
+      ]
+    },
+    {
+      "id": "en/pra-group-employment-agreement.txt",
+      "entities": [
+        {
+          "start": 2782,
+          "end": 2791,
+          "label": "person"
+        },
+        {
+          "start": 36471,
+          "end": 36479,
+          "label": "person"
+        },
+        {
+          "start": 36496,
+          "end": 36511,
+          "label": "person"
+        },
+        {
+          "start": 39213,
+          "end": 39222,
+          "label": "person"
+        },
+        {
+          "start": 39861,
+          "end": 39870,
+          "label": "person"
+        },
+        {
+          "start": 191,
+          "end": 206,
+          "label": "organization"
+        },
+        {
+          "start": 288,
+          "end": 293,
+          "label": "organization"
+        },
+        {
+          "start": 1859,
+          "end": 1880,
+          "label": "organization"
+        },
+        {
+          "start": 3614,
+          "end": 3636,
+          "label": "organization"
+        },
+        {
+          "start": 20259,
+          "end": 20264,
+          "label": "organization"
+        },
+        {
+          "start": 25424,
+          "end": 25446,
+          "label": "organization"
+        },
+        {
+          "start": 36422,
+          "end": 36437,
+          "label": "organization"
+        },
+        {
+          "start": 39935,
+          "end": 39968,
+          "label": "organization"
+        },
+        {
+          "start": 48165,
+          "end": 48180,
+          "label": "organization"
+        }
+      ]
+    },
+    {
+      "id": "en/software-license-agreement.txt",
+      "entities": [
+        {
+          "start": 162,
+          "end": 180,
+          "label": "person"
+        },
+        {
+          "start": 386,
+          "end": 407,
+          "label": "person"
+        },
+        {
+          "start": 627,
+          "end": 652,
+          "label": "person"
+        },
+        {
+          "start": 756,
+          "end": 770,
+          "label": "person"
+        },
+        {
+          "start": 1013,
+          "end": 1027,
+          "label": "person"
+        },
+        {
+          "start": 1572,
+          "end": 1590,
+          "label": "person"
+        },
+        {
+          "start": 1972,
+          "end": 1990,
+          "label": "person"
+        },
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diff --git a/packages/bench/results/quality.anonymize.json b/packages/bench/results/quality.anonymize.json
index 0821b6ed..56d2584c 100644
--- a/packages/bench/results/quality.anonymize.json
+++ b/packages/bench/results/quality.anonymize.json
@@ -1,6 +1,6 @@
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+  "generatedAt": "2026-06-12T11:44:41.920Z",
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+    "goldEntities": 332,
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diff --git a/packages/bench/results/quality.compromise.json b/packages/bench/results/quality.compromise.json
new file mode 100644
index 00000000..e9ee2cc5
--- /dev/null
+++ b/packages/bench/results/quality.compromise.json
@@ -0,0 +1,109 @@
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diff --git a/packages/bench/results/quality.presidio.json b/packages/bench/results/quality.presidio.json
new file mode 100644
index 00000000..a1283f5a
--- /dev/null
+++ b/packages/bench/results/quality.presidio.json
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+          "truePositives": 3,
+          "falsePositives": 7,
+          "falseNegatives": 9,
+          "goldCount": 12,
+          "precision": 0.3,
+          "recall": 0.25,
+          "f1": 0.2727272727272727
+        },
+        "en": {
+          "truePositives": 41,
+          "falsePositives": 277,
+          "falseNegatives": 23,
+          "goldCount": 64,
+          "precision": 0.1289308176100629,
+          "recall": 0.640625,
+          "f1": 0.21465968586387435
+        }
+      }
+    },
+    "overlap": {
+      "micro": {
+        "truePositives": 65,
+        "falsePositives": 263,
+        "falseNegatives": 11,
+        "goldCount": 76,
+        "precision": 0.19817073170731708,
+        "recall": 0.8552631578947368,
+        "f1": 0.3217821782178218
+      },
+      "perLabel": {
+        "date": {
+          "truePositives": 23,
+          "falsePositives": 74,
+          "falseNegatives": 4,
+          "goldCount": 27,
+          "precision": 0.23711340206185566,
+          "recall": 0.8518518518518519,
+          "f1": 0.3709677419354838
+        },
+        "email address": {
+          "truePositives": 0,
+          "falsePositives": 0,
+          "falseNegatives": 1,
+          "goldCount": 1,
+          "precision": 0,
+          "recall": 0,
+          "f1": 0
+        },
+        "organization": {
+          "truePositives": 19,
+          "falsePositives": 183,
+          "falseNegatives": 4,
+          "goldCount": 23,
+          "precision": 0.09405940594059406,
+          "recall": 0.8260869565217391,
+          "f1": 0.1688888888888889
+        },
+        "person": {
+          "truePositives": 22,
+          "falsePositives": 5,
+          "falseNegatives": 2,
+          "goldCount": 24,
+          "precision": 0.8148148148148148,
+          "recall": 0.9166666666666666,
+          "f1": 0.8627450980392156
+        },
+        "phone number": {
+          "truePositives": 1,
+          "falsePositives": 1,
+          "falseNegatives": 0,
+          "goldCount": 1,
+          "precision": 0.5,
+          "recall": 1,
+          "f1": 0.6666666666666666
+        }
+      },
+      "perLanguage": {
+        "de": {
+          "truePositives": 6,
+          "falsePositives": 4,
+          "falseNegatives": 6,
+          "goldCount": 12,
+          "precision": 0.6,
+          "recall": 0.5,
+          "f1": 0.5454545454545454
+        },
+        "en": {
+          "truePositives": 59,
+          "falsePositives": 259,
+          "falseNegatives": 5,
+          "goldCount": 64,
+          "precision": 0.18553459119496854,
+          "recall": 0.921875,
+          "f1": 0.30890052356020936
+        }
+      }
+    }
+  }
+}
diff --git a/packages/bench/src/render-results.ts b/packages/bench/src/render-results.ts
index 6d6a270c..adf039b7 100644
--- a/packages/bench/src/render-results.ts
+++ b/packages/bench/src/render-results.ts
@@ -31,6 +31,7 @@ type QualityReportJson = {
     docs: number;
     docsPerLanguage: Record<string, number>;
     goldEntities: number;
+    skippedDocs?: string[];
   };
   labelsFilter: string[] | null;
   modes: Record<"exact" | "overlap", ModeReportJson>;
@@ -74,6 +75,16 @@ const renderQuality = (report: QualityReportJson): string[] => {
   lines.push(
     `${report.corpus.docs} documents, ${integer(report.corpus.goldEntities)} reference entities.${filterNote}`,
   );
+  const skipped = report.corpus.skippedDocs ?? [];
+  if (skipped.length > 0) {
+    const languages = [
+      ...new Set(skipped.map((id) => id.split("/").at(0) ?? id)),
+    ].toSorted();
+    lines.push("");
+    lines.push(
+      `Skipped ${skipped.length} corpus documents (no support for: ${languages.join(", ")}).`,
+    );
+  }
   for (const mode of ["exact", "overlap"] as const) {
     const modeReport = report.modes[mode];
     lines.push("");
diff --git a/packages/bench/src/run-compromise.ts b/packages/bench/src/run-compromise.ts
new file mode 100644
index 00000000..cb077509
--- /dev/null
+++ b/packages/bench/src/run-compromise.ts
@@ -0,0 +1,68 @@
+/**
+ * Runs compromise (the closest JS-ecosystem NLP baseline with span
+ * output) over the English corpus documents and writes predictions
+ * in the bench interchange format. compromise targets English, so
+ * other languages are omitted and reported as skipped by the
+ * quality runner.
+ */
+import { mkdirSync, writeFileSync } from "node:fs";
+import { dirname, join } from "node:path";
+import { parseArgs } from "node:util";
+
+import nlp from "compromise";
+
+import { loadGoldDocuments } from "./fixtures";
+import type { BenchSpan, PredictionsFile } from "./types";
+
+type CompromiseMatch = {
+  offset?: { start: number; length: number };
+};
+
+const matchesToSpans = (
+  matches: CompromiseMatch[],
+  label: string,
+): BenchSpan[] => {
+  const spans: BenchSpan[] = [];
+  for (const match of matches) {
+    if (!match.offset) continue;
+    spans.push({
+      start: match.offset.start,
+      end: match.offset.start + match.offset.length,
+      label,
+    });
+  }
+  return spans;
+};
+
+const { values: args } = parseArgs({
+  options: { out: { type: "string" } },
+});
+
+const predictions: PredictionsFile = { tool: "compromise", docs: [] };
+for (const doc of loadGoldDocuments()) {
+  if (doc.language !== "en") continue;
+  const parsed = nlp(doc.text);
+  const entities = [
+    // SAFETY: compromise's .json({ offset: true }) returns match
+    // objects with an offset field; the library ships no types.
+    ...matchesToSpans(
+      parsed.people().json({ offset: true }) as CompromiseMatch[],
+      "person",
+    ),
+    ...matchesToSpans(
+      parsed.organizations().json({ offset: true }) as CompromiseMatch[],
+      "organization",
+    ),
+  ];
+  predictions.docs.push({ id: doc.id, entities });
+  console.log(
+    JSON.stringify({ event: "doc", id: doc.id, entities: entities.length }),
+  );
+}
+
+const outPath =
+  args.out ??
+  join(import.meta.dir, "..", "results", "predictions.compromise.json");
+mkdirSync(dirname(outPath), { recursive: true });
+writeFileSync(outPath, `${JSON.stringify(predictions, null, 2)}\n`);
+console.log(JSON.stringify({ event: "written", path: outPath }));
diff --git a/packages/bench/src/run-quality.ts b/packages/bench/src/run-quality.ts
index 1f93aef7..405b5534 100644
--- a/packages/bench/src/run-quality.ts
+++ b/packages/bench/src/run-quality.ts
@@ -37,6 +37,7 @@ type QualityReport = {
     docs: number;
     docsPerLanguage: Record<string, number>;
     goldEntities: number;
+    skippedDocs: string[];
   };
   labelsFilter: string[] | null;
   modes: Record<MatchMode, ModeReport>;
@@ -52,20 +53,24 @@ const { values: args } = parseArgs({
 
 const labelsFilter = args.labels?.split(",").map((label) => label.trim());
 
-const docs = loadGoldDocuments();
+const allDocs = loadGoldDocuments();
 const predictions: PredictionsFile = args.predictions
   ? // SAFETY: --predictions files are produced by bench adapters with this shape
     (JSON.parse(readFileSync(args.predictions, "utf8")) as PredictionsFile)
-  : await runAnonymizeAdapter(docs);
+  : await runAnonymizeAdapter(allDocs);
 
 const predictionsById = new Map(
   predictions.docs.map((doc) => [doc.id, doc.entities]),
 );
 
-const missingDocs = docs.filter((doc) => !predictionsById.has(doc.id));
-if (missingDocs.length > 0) {
-  const ids = missingDocs.map((doc) => doc.id).join(", ");
-  throw new Error(`predictions missing for: ${ids}`);
+// Tools without support for a corpus language omit those documents;
+// they are reported as skipped instead of scored as zero recall.
+const docs = allDocs.filter((doc) => predictionsById.has(doc.id));
+const skippedDocIds = allDocs
+  .filter((doc) => !predictionsById.has(doc.id))
+  .map((doc) => doc.id);
+if (docs.length === 0) {
+  throw new Error("predictions cover no corpus documents");
 }
 
 const buildModeReport = (mode: MatchMode): ModeReport => {
@@ -109,6 +114,7 @@ const report: QualityReport = {
     docs: docs.length,
     docsPerLanguage,
     goldEntities: docs.reduce((sum, doc) => sum + doc.gold.length, 0),
+    skippedDocs: skippedDocIds,
   },
   labelsFilter: labelsFilter ?? null,
   modes: {