diff --git a/.python-version b/.python-version
index e4fba21..24ee5b1 100644
--- a/.python-version
+++ b/.python-version
@@ -1 +1 @@
-3.12
+3.13
diff --git a/justfile b/justfile
index a9bc911..6fe02d3 100644
--- a/justfile
+++ b/justfile
@@ -493,8 +493,7 @@ python-sync: _ensure-uv
     uv sync --group dev
 
 python-typecheck: python-sync
-    uv run ty check scripts/
-    uv run mypy scripts/archive_changelog.py scripts/bench_compare.py scripts/check_docs_version_sync.py scripts/check_semgrep_fixtures.py scripts/criterion_dim_plot.py scripts/tag_release.py scripts/postprocess_changelog.py scripts/subprocess_utils.py
+    uv run ty check scripts/ --error all
 
 # Repository-owned Semgrep rules for project-specific diagnostics.
 semgrep: _ensure-uv
diff --git a/pyproject.toml b/pyproject.toml
index 9f7fe04..6f9ff45 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,7 @@ name = "la-stack-scripts"
 version = "0.4.2"
 description = "Python utility scripts for the la-stack Rust library"
 readme = "README.md"
-requires-python = ">=3.12"
+requires-python = ">=3.13"
 license = { text = "BSD-3-Clause" }
 authors = [
     { name = "Adam Getchell", email = "adam@adamgetchell.org" },
@@ -20,7 +20,6 @@ classifiers = [
     "License :: OSI Approved :: BSD License",
     "Operating System :: OS Independent",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
     "Topic :: Scientific/Engineering :: Mathematics",
     "Topic :: System :: Benchmarking",
@@ -50,7 +49,7 @@ py-modules = [ "archive_changelog", "bench_compare", "check_docs_version_sync",
 
 [tool.ruff]
 line-length = 160
-target-version = "py312"
+target-version = "py313"
 src = [ "scripts" ]
 
 [tool.ruff.lint]
@@ -122,27 +121,12 @@ python_files = [ "test_*.py", "*_test.py" ]
 python_classes = [ "Test*" ]
 python_functions = [ "test_*" ]
 
-[tool.mypy]
-python_version = "3.12"
-mypy_path = "scripts"
-warn_unused_configs = true
-no_implicit_optional = true
-strict_equality = true
-warn_redundant_casts = true
-warn_no_return = true
-show_error_codes = true
-show_column_numbers = true
-pretty = true
-allow_untyped_calls = true
-allow_incomplete_defs = true
-
 [tool.uv]
 package = true
 
 [dependency-groups]
 dev = [
     "actionlint-py==1.7.12.24",
-    "mypy>=1.19.0",
     "pytest==9.0.3",
     "ruff>=0.15.14",
     "semgrep==1.164.0",
diff --git a/scripts/check_docs_version_sync.py b/scripts/check_docs_version_sync.py
index b459269..95ef260 100644
--- a/scripts/check_docs_version_sync.py
+++ b/scripts/check_docs_version_sync.py
@@ -8,7 +8,7 @@
 import tomllib
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any
+from typing import TypeGuard
 
 SKIP_DIRS = frozenset(
     {
@@ -23,7 +23,22 @@
 )
 
 
-@dataclass(frozen=True)
+type ParsedObject = dict[str, object]
+
+
+def _is_parsed_object(value: object) -> TypeGuard[ParsedObject]:
+    """Return true when a parsed TOML value is an object with string keys."""
+    return isinstance(value, dict) and all(isinstance(key, str) for key in value)
+
+
+def _require_parsed_object(value: object, context: str) -> ParsedObject:
+    if not _is_parsed_object(value):
+        msg = f"{context} is not a TOML object"
+        raise TypeError(msg)
+    return value
+
+
+@dataclass(frozen=True, slots=True)
 class PackageInfo:
     """Cargo package identity used in documented dependency snippets."""
 
@@ -31,7 +46,7 @@ class PackageInfo:
     version: str
 
 
-@dataclass(frozen=True)
+@dataclass(frozen=True, slots=True)
 class DependencySnippet:
     """A documented dependency version snippet for the current package."""
 
@@ -41,7 +56,7 @@ class DependencySnippet:
     text: str
 
 
-@dataclass(frozen=True)
+@dataclass(frozen=True, slots=True)
 class VersionMismatch:
     """A dependency snippet whose version does not match Cargo.toml."""
 
@@ -50,9 +65,10 @@ class VersionMismatch:
 
 
 def _read_cargo_package_info(cargo_toml: Path) -> PackageInfo:
-    data: dict[str, Any] = tomllib.loads(cargo_toml.read_text(encoding="utf-8"))
-    package = data.get("package")
-    if not isinstance(package, dict):
+    data: object = tomllib.loads(cargo_toml.read_text(encoding="utf-8"))
+    cargo = _require_parsed_object(data, str(cargo_toml))
+    package = cargo.get("package")
+    if not _is_parsed_object(package):
         msg = f"{cargo_toml} is missing a [package] table"
         raise TypeError(msg)
 
diff --git a/scripts/check_semgrep_fixtures.py b/scripts/check_semgrep_fixtures.py
index f7570a7..675d51d 100644
--- a/scripts/check_semgrep_fixtures.py
+++ b/scripts/check_semgrep_fixtures.py
@@ -7,12 +7,27 @@
 import os
 import re
 import sys
+from dataclasses import dataclass
 from pathlib import Path
-from typing import Any
+from typing import TypeGuard
 
 RULE_ANNOTATION = re.compile(r"\bruleid:\s*([A-Za-z0-9_.-]+(?:\s*,\s*[A-Za-z0-9_.-]+)*)")
 
 
+type ParsedObject = dict[str, object]
+
+
+@dataclass(frozen=True, slots=True)
+class SemgrepResults:
+    """Validated subset of Semgrep JSON needed by fixture checks."""
+
+    results: tuple[ParsedObject, ...]
+
+
+def _is_parsed_object(value: object) -> TypeGuard[ParsedObject]:
+    return isinstance(value, dict) and all(isinstance(key, str) for key in value)
+
+
 def _path_argument(argv: list[str]) -> Path | None:
     if len(argv) <= 1:
         print("Missing required path argument: sys.argv[1]", file=sys.stderr)
@@ -31,24 +46,40 @@ def _path_argument(argv: list[str]) -> Path | None:
     return path
 
 
-def _semgrep_results() -> dict[str, Any] | None:
+def _semgrep_results() -> SemgrepResults | None:
     semgrep_json = os.environ.get("SEMGREP_JSON")
     if semgrep_json is None:
         print("Missing required SEMGREP_JSON environment variable", file=sys.stderr)
         return None
     try:
-        data = json.loads(semgrep_json)
+        data: object = json.loads(semgrep_json)
     except json.JSONDecodeError as error:
         print(f"Invalid JSON in SEMGREP_JSON: {error}", file=sys.stderr)
         return None
 
-    if not isinstance(data, dict):
+    if not _is_parsed_object(data):
         print("Invalid SEMGREP_JSON shape: expected a JSON object", file=sys.stderr)
         return None
-    if not isinstance(data.get("results"), list):
+    results = data.get("results")
+    if not isinstance(results, list):
         print("Invalid SEMGREP_JSON shape: expected 'results' to be a list", file=sys.stderr)
         return None
-    return data
+
+    parsed_results: list[ParsedObject] = []
+    malformed_results: list[str] = []
+    for index, result in enumerate(results):
+        if _is_parsed_object(result):
+            parsed_results.append(result)
+        else:
+            malformed_results.append(f"result {index} is not an object")
+
+    if malformed_results:
+        print("Invalid SEMGREP_JSON shape:", file=sys.stderr)
+        for malformed in malformed_results:
+            print(f"  {malformed}", file=sys.stderr)
+        return None
+
+    return SemgrepResults(results=tuple(parsed_results))
 
 
 def main() -> int:
@@ -61,18 +92,13 @@ def main() -> int:
         for match in RULE_ANNOTATION.finditer(line):
             expected.update(rule_id.strip() for rule_id in match.group(1).split(",") if rule_id.strip())
 
-    data = _semgrep_results()
-    if data is None:
+    semgrep = _semgrep_results()
+    if semgrep is None:
         return 1
 
-    results = data["results"]
     actual: collections.Counter[str] = collections.Counter()
     malformed_results: list[str] = []
-    for index, result in enumerate(results):
-        if not isinstance(result, dict):
-            malformed_results.append(f"result {index} is not an object")
-            continue
-
+    for index, result in enumerate(semgrep.results):
         check_id = result.get("check_id")
         if not isinstance(check_id, str):
             malformed_results.append(f"result {index} is missing string field 'check_id'")
diff --git a/scripts/criterion_dim_plot.py b/scripts/criterion_dim_plot.py
index 5dfaa9c..b93d82a 100644
--- a/scripts/criterion_dim_plot.py
+++ b/scripts/criterion_dim_plot.py
@@ -16,6 +16,7 @@
 
 import argparse
 import json
+import math
 import re
 import shutil
 import subprocess
@@ -23,7 +24,7 @@
 import tomllib
 from dataclasses import dataclass
 from pathlib import Path
-from typing import Any, Final
+from typing import Final, Protocol, TypeGuard
 
 
 @dataclass(frozen=True, slots=True)
@@ -47,6 +48,22 @@ class PlotRequest:
     log_y: bool
 
 
+@dataclass(frozen=True, slots=True)
+class PlotCliArgs:
+    """Validated command-line options for the plot generator."""
+
+    metric: str
+    stat: str
+    sample: str
+    criterion_dir: str
+    out: str | None
+    csv: str | None
+    log_y: bool
+    no_plot: bool
+    update_readme: bool
+    readme: str
+
+
 @dataclass(frozen=True, slots=True)
 class Row:
     dim: int
@@ -60,6 +77,26 @@ class Row:
     fa_lo: float
     fa_hi: float
 
+    def __post_init__(self) -> None:
+        if self.dim <= 0:
+            msg = f"dimension must be positive: {self.dim}"
+            raise ValueError(msg)
+        for field, value in (
+            ("la_time", self.la_time),
+            ("la_lo", self.la_lo),
+            ("la_hi", self.la_hi),
+            ("na_time", self.na_time),
+            ("na_lo", self.na_lo),
+            ("na_hi", self.na_hi),
+            ("fa_time", self.fa_time),
+            ("fa_lo", self.fa_lo),
+            ("fa_hi", self.fa_hi),
+        ):
+            _require_nonnegative_finite_time(value, field)
+        _require_confidence_interval(self.la_lo, self.la_time, self.la_hi, "la_stack row")
+        _require_confidence_interval(self.na_lo, self.na_time, self.na_hi, "nalgebra row")
+        _require_confidence_interval(self.fa_lo, self.fa_time, self.fa_hi, "faer row")
+
 
 class ReadmeMarkerError(ValueError):
     """Base error for invalid README BENCH_TABLE markers."""
@@ -73,6 +110,31 @@ class MarkerOrderError(ReadmeMarkerError):
     """Raised when README markers are out of order."""
 
 
+class _ReadmeArgs(Protocol):
+    @property
+    def update_readme(self) -> bool: ...
+
+    @property
+    def readme(self) -> str: ...
+
+    @property
+    def metric(self) -> str: ...
+
+    @property
+    def stat(self) -> str: ...
+
+    @property
+    def sample(self) -> str: ...
+
+
+class _RenderArgs(Protocol):
+    @property
+    def no_plot(self) -> bool: ...
+
+
+type ParsedObject = dict[str, object]
+
+
 METRICS: Final[dict[str, Metric]] = {
     "det_via_lu": Metric(
         la_bench="la_stack_det_via_lu",
@@ -137,6 +199,18 @@ def _dim_from_group_dir(name: str) -> int | None:
     return int(match.group(1))
 
 
+def _is_parsed_object(value: object) -> TypeGuard[ParsedObject]:
+    """Return true when a parsed JSON/TOML value is an object with string keys."""
+    return isinstance(value, dict) and all(isinstance(key, str) for key in value)
+
+
+def _require_parsed_object(value: object, context: str) -> ParsedObject:
+    if not _is_parsed_object(value):
+        msg = f"expected object for {context}"
+        raise TypeError(msg)
+    return value
+
+
 def _discover_dims(criterion_dir: Path) -> list[int]:
     dims: list[int] = []
     for child in criterion_dir.iterdir():
@@ -155,7 +229,7 @@ def _read_cargo_package_version(cargo_toml: Path) -> str | None:
 
     data = _read_cargo_toml(cargo_toml)
     package = data.get("package")
-    if isinstance(package, dict):
+    if _is_parsed_object(package):
         version = package.get("version")
         if isinstance(version, str):
             return version
@@ -170,13 +244,13 @@ def _read_cargo_dependency_versions(cargo_toml: Path, names: set[str]) -> dict[s
     versions: dict[str, str] = {}
     for section in ("dependencies", "dev-dependencies", "build-dependencies"):
         table = data.get(section)
-        if not isinstance(table, dict):
+        if not _is_parsed_object(table):
             continue
         for name in names:
             value = table.get(name)
             if isinstance(value, str):
                 versions[name] = value
-            elif isinstance(value, dict):
+            elif _is_parsed_object(value):
                 version = value.get("version")
                 if isinstance(version, str):
                     versions[name] = version
@@ -184,8 +258,9 @@ def _read_cargo_dependency_versions(cargo_toml: Path, names: set[str]) -> dict[s
     return versions
 
 
-def _read_cargo_toml(cargo_toml: Path) -> dict[str, Any]:
-    return tomllib.loads(cargo_toml.read_text(encoding="utf-8"))
+def _read_cargo_toml(cargo_toml: Path) -> ParsedObject:
+    data: object = tomllib.loads(cargo_toml.read_text(encoding="utf-8"))
+    return _require_parsed_object(data, str(cargo_toml))
 
 
 def _detect_versions(root: Path) -> dict[str, str]:
@@ -213,22 +288,75 @@ def _format_legend_label(name: str, version: str) -> str:
 
 
 def _read_estimate(estimates_json: Path, stat: str) -> tuple[float, float, float]:
-    data = json.loads(estimates_json.read_text(encoding="utf-8"))
+    data = _read_json_object(estimates_json)
 
     stat_obj = data.get(stat)
-    if not isinstance(stat_obj, dict):
+    if not _is_parsed_object(stat_obj):
         raise KeyError(f"stat '{stat}' not found in {estimates_json}")
 
-    point = float(stat_obj["point_estimate"])
+    point = _read_numeric_field(stat_obj, "point_estimate", estimates_json, stat)
     ci = stat_obj.get("confidence_interval")
-    if not isinstance(ci, dict):
+    if not _is_parsed_object(ci):
         return (point, point, point)
 
-    lo = float(ci.get("lower_bound", point))
-    hi = float(ci.get("upper_bound", point))
+    lo = _read_numeric_field(ci, "lower_bound", estimates_json, stat, default=point)
+    hi = _read_numeric_field(ci, "upper_bound", estimates_json, stat, default=point)
+    _require_confidence_interval(lo, point, hi, f"{stat}.confidence_interval in {estimates_json}")
     return (point, lo, hi)
 
 
+def _read_json_object(path: Path) -> ParsedObject:
+    try:
+        data: object = json.loads(path.read_text(encoding="utf-8"))
+    except json.JSONDecodeError as err:
+        msg = f"malformed Criterion estimates JSON in {path}: {err}"
+        raise ValueError(msg) from err
+    return _require_parsed_object(data, str(path))
+
+
+def _read_numeric_field(
+    obj: ParsedObject,
+    field: str,
+    estimates_json: Path,
+    stat: str,
+    *,
+    default: float | None = None,
+) -> float:
+    if field not in obj:
+        if default is not None:
+            return default
+        msg = f"field '{field}' for stat '{stat}' not found in {estimates_json}"
+        raise KeyError(msg)
+
+    value = obj[field]
+    if isinstance(value, bool) or not isinstance(value, int | float | str):
+        msg = f"field '{field}' for stat '{stat}' in {estimates_json} is not numeric: {value!r}"
+        raise TypeError(msg)
+
+    try:
+        parsed = float(value)
+    except ValueError as err:
+        msg = f"field '{field}' for stat '{stat}' in {estimates_json} is not numeric: {value!r}"
+        raise ValueError(msg) from err
+    return _require_nonnegative_finite_time(parsed, f"{stat}.{field} in {estimates_json}")
+
+
+def _require_nonnegative_finite_time(value: float, context: str) -> float:
+    if not math.isfinite(value) or value < 0.0:
+        msg = f"{context} must be finite and nonnegative: {value!r}"
+        raise ValueError(msg)
+    return value
+
+
+def _require_confidence_interval(lo: float, point: float, hi: float, context: str) -> None:
+    if lo > hi:
+        msg = f"{context} lower bound must be <= upper bound: {lo!r} > {hi!r}"
+        raise ValueError(msg)
+    if not lo <= point <= hi:
+        msg = f"{context} point estimate must be inside confidence interval: {lo!r} <= {point!r} <= {hi!r}"
+        raise ValueError(msg)
+
+
 def _write_csv(out_csv: Path, rows: list[Row]) -> None:
     out_csv.parent.mkdir(parents=True, exist_ok=True)
     with out_csv.open("w", encoding="utf-8") as f:
@@ -344,7 +472,7 @@ def _render_svg_with_gnuplot(req: PlotRequest) -> None:
     subprocess.run([gnuplot_path], input="\n".join(gp_lines), text=True, check=True)  # noqa: S603
 
 
-def _parse_args(argv: list[str]) -> argparse.Namespace:
+def _parse_args(argv: list[str]) -> PlotCliArgs:
     parser = argparse.ArgumentParser(description="Plot Criterion time vs dimension for la-stack vs nalgebra/faer.")
 
     parser.add_argument(
@@ -401,7 +529,43 @@ def _parse_args(argv: list[str]) -> argparse.Namespace:
         help="Path to README file to update (default: README.md at repo root).",
     )
 
-    return parser.parse_args(argv)
+    args = parser.parse_args(argv)
+    return PlotCliArgs(
+        metric=_required_str_attr(args, "metric"),
+        stat=_required_str_attr(args, "stat"),
+        sample=_required_str_attr(args, "sample"),
+        criterion_dir=_required_str_attr(args, "criterion_dir"),
+        out=_optional_str_attr(args, "out"),
+        csv=_optional_str_attr(args, "csv"),
+        log_y=_required_bool_attr(args, "log_y"),
+        no_plot=_required_bool_attr(args, "no_plot"),
+        update_readme=_required_bool_attr(args, "update_readme"),
+        readme=_required_str_attr(args, "readme"),
+    )
+
+
+def _required_str_attr(args: argparse.Namespace, name: str) -> str:
+    value = getattr(args, name)
+    if not isinstance(value, str):
+        msg = f"argparse returned non-string value for {name}: {value!r}"
+        raise TypeError(msg)
+    return value
+
+
+def _optional_str_attr(args: argparse.Namespace, name: str) -> str | None:
+    value = getattr(args, name)
+    if value is None or isinstance(value, str):
+        return value
+    msg = f"argparse returned non-string value for {name}: {value!r}"
+    raise TypeError(msg)
+
+
+def _required_bool_attr(args: argparse.Namespace, name: str) -> bool:
+    value = getattr(args, name)
+    if not isinstance(value, bool):
+        msg = f"argparse returned non-bool value for {name}: {value!r}"
+        raise TypeError(msg)
+    return value
 
 
 def _resolve_under_root(root: Path, arg: str) -> Path:
@@ -456,7 +620,7 @@ def _collect_rows(criterion_dir: Path, dims: list[int], metric: Metric, stat: st
     return (rows, skipped)
 
 
-def _maybe_update_readme(root: Path, args: argparse.Namespace, rows: list[Row]) -> int:
+def _maybe_update_readme(root: Path, args: _ReadmeArgs, rows: list[Row]) -> int:
     if not args.update_readme:
         return 0
 
@@ -477,7 +641,7 @@ def _maybe_update_readme(root: Path, args: argparse.Namespace, rows: list[Row])
     return 0
 
 
-def _maybe_render_plot(args: argparse.Namespace, req: PlotRequest, skipped: list[str]) -> int:
+def _maybe_render_plot(args: _RenderArgs, req: PlotRequest, skipped: list[str]) -> int:
     if args.no_plot:
         print(f"Wrote CSV: {req.csv_path}")
         return 0
diff --git a/scripts/tests/test_check_semgrep_fixtures.py b/scripts/tests/test_check_semgrep_fixtures.py
new file mode 100644
index 0000000..8246b61
--- /dev/null
+++ b/scripts/tests/test_check_semgrep_fixtures.py
@@ -0,0 +1,70 @@
+from __future__ import annotations
+
+import json
+from typing import TYPE_CHECKING
+
+import check_semgrep_fixtures
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+    import pytest
+
+
+def test_semgrep_results_parses_valid_result_objects(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.setenv(
+        "SEMGREP_JSON",
+        json.dumps({"results": [{"check_id": "rust.foo"}, {"check_id": "rust.bar"}]}),
+    )
+
+    results = check_semgrep_fixtures._semgrep_results()
+
+    assert results is not None
+    assert [result["check_id"] for result in results.results] == ["rust.foo", "rust.bar"]
+
+
+def test_semgrep_results_rejects_malformed_result_objects(monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str]) -> None:
+    monkeypatch.setenv("SEMGREP_JSON", json.dumps({"results": [{"check_id": "rust.foo"}, "bad"]}))
+
+    results = check_semgrep_fixtures._semgrep_results()
+
+    assert results is None
+    assert "result 1 is not an object" in capsys.readouterr().err
+
+
+def test_main_accepts_matching_annotations(monkeypatch: pytest.MonkeyPatch, tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+    fixture = tmp_path / "fixture.rs"
+    fixture.write_text(
+        "\n".join(
+            [
+                "// ruleid: rust.foo, rust.bar",
+                "// ruleid: rust.foo",
+                "",
+            ]
+        ),
+        encoding="utf-8",
+    )
+    monkeypatch.setenv(
+        "SEMGREP_JSON",
+        json.dumps({"results": [{"check_id": "rust.foo"}, {"check_id": "rust.bar"}, {"check_id": "rust.foo"}]}),
+    )
+    monkeypatch.setattr(check_semgrep_fixtures.sys, "argv", ["check_semgrep_fixtures.py", str(fixture)])
+
+    rc = check_semgrep_fixtures.main()
+
+    assert rc == 0
+    captured = capsys.readouterr()
+    assert captured.out == ""
+    assert captured.err == ""
+
+
+def test_main_reports_missing_check_id(monkeypatch: pytest.MonkeyPatch, tmp_path: Path, capsys: pytest.CaptureFixture[str]) -> None:
+    fixture = tmp_path / "fixture.rs"
+    fixture.write_text("// ruleid: rust.foo\n", encoding="utf-8")
+    monkeypatch.setenv("SEMGREP_JSON", json.dumps({"results": [{}]}))
+    monkeypatch.setattr(check_semgrep_fixtures.sys, "argv", ["check_semgrep_fixtures.py", str(fixture)])
+
+    rc = check_semgrep_fixtures.main()
+
+    assert rc == 1
+    assert "missing string field 'check_id'" in capsys.readouterr().err
diff --git a/scripts/tests/test_criterion_dim_plot.py b/scripts/tests/test_criterion_dim_plot.py
index ab64887..0ba6d50 100644
--- a/scripts/tests/test_criterion_dim_plot.py
+++ b/scripts/tests/test_criterion_dim_plot.py
@@ -2,6 +2,7 @@
 
 import argparse
 import json
+import re
 import tomllib
 from typing import TYPE_CHECKING, cast
 
@@ -67,26 +68,26 @@ def test_markdown_table_formats_values_and_pct() -> None:
         criterion_dim_plot.Row(
             dim=2,
             la_time=50.0,
-            la_lo=0.0,
-            la_hi=0.0,
+            la_lo=45.0,
+            la_hi=55.0,
             na_time=100.0,
-            na_lo=0.0,
-            na_hi=0.0,
+            na_lo=90.0,
+            na_hi=110.0,
             fa_time=200.0,
-            fa_lo=0.0,
-            fa_hi=0.0,
+            fa_lo=180.0,
+            fa_hi=220.0,
         ),  # +50.0% vs na, +75.0% vs fa
         criterion_dim_plot.Row(
             dim=64,
             la_time=1_000.0,
-            la_lo=0.0,
-            la_hi=0.0,
+            la_lo=900.0,
+            la_hi=1_100.0,
             na_time=900.0,
-            na_lo=0.0,
-            na_hi=0.0,
+            na_lo=800.0,
+            na_hi=1_000.0,
             fa_time=800.0,
-            fa_lo=0.0,
-            fa_hi=0.0,
+            fa_lo=700.0,
+            fa_hi=900.0,
         ),  # -11.1% vs na, -25.0% vs fa
     ]
 
@@ -104,14 +105,14 @@ def test_markdown_table_handles_zero_nalgebra_time() -> None:
         criterion_dim_plot.Row(
             dim=2,
             la_time=10.0,
-            la_lo=0.0,
-            la_hi=0.0,
+            la_lo=9.0,
+            la_hi=11.0,
             na_time=0.0,
             na_lo=0.0,
             na_hi=0.0,
             fa_time=100.0,
-            fa_lo=0.0,
-            fa_hi=0.0,
+            fa_lo=90.0,
+            fa_hi=110.0,
         ),
     ]
 
@@ -361,6 +362,159 @@ def test_read_estimate_errors_and_success(tmp_path: Path) -> None:
         criterion_dim_plot._read_estimate(estimates, "mean")
 
 
+def test_read_estimate_malformed_json_names_file(tmp_path: Path) -> None:
+    estimates = tmp_path / "estimates.json"
+    estimates.write_text("{not json", encoding="utf-8")
+
+    with pytest.raises(ValueError, match=re.escape(f"malformed Criterion estimates JSON in {estimates}")):
+        criterion_dim_plot._read_estimate(estimates, "median")
+
+
+def test_read_estimate_missing_point_estimate_names_field(tmp_path: Path) -> None:
+    estimates = tmp_path / "estimates.json"
+    estimates.write_text(json.dumps({"median": {}}), encoding="utf-8")
+
+    with pytest.raises(KeyError, match="field 'point_estimate' for stat 'median' not found"):
+        criterion_dim_plot._read_estimate(estimates, "median")
+
+
+def test_read_estimate_non_numeric_ci_bound_names_field(tmp_path: Path) -> None:
+    estimates = tmp_path / "estimates.json"
+    estimates.write_text(
+        json.dumps(
+            {
+                "median": {
+                    "point_estimate": 1.0,
+                    "confidence_interval": {"lower_bound": "fast", "upper_bound": 2.0},
+                }
+            }
+        ),
+        encoding="utf-8",
+    )
+
+    with pytest.raises(ValueError, match=r"field 'lower_bound' for stat 'median'.*not numeric"):
+        criterion_dim_plot._read_estimate(estimates, "median")
+
+
+@pytest.mark.parametrize(
+    ("payload", "field"),
+    [
+        ({"median": {"point_estimate": True}}, "point_estimate"),
+        (
+            {
+                "median": {
+                    "point_estimate": 1.0,
+                    "confidence_interval": {"lower_bound": False, "upper_bound": 2.0},
+                }
+            },
+            "lower_bound",
+        ),
+    ],
+)
+def test_read_estimate_rejects_boolean_numeric_fields(tmp_path: Path, payload: dict[str, object], field: str) -> None:
+    estimates = tmp_path / "estimates.json"
+    estimates.write_text(json.dumps(payload), encoding="utf-8")
+
+    with pytest.raises(TypeError, match=rf"field '{field}' for stat 'median'.*not numeric"):
+        criterion_dim_plot._read_estimate(estimates, "median")
+
+
+def test_read_estimate_rejects_nonfinite_time(tmp_path: Path) -> None:
+    estimates = tmp_path / "estimates.json"
+    estimates.write_text(json.dumps({"median": {"point_estimate": "NaN"}}), encoding="utf-8")
+
+    with pytest.raises(ValueError, match=r"median\.point_estimate.*finite and nonnegative"):
+        criterion_dim_plot._read_estimate(estimates, "median")
+
+
+def test_read_estimate_rejects_negative_time(tmp_path: Path) -> None:
+    estimates = tmp_path / "estimates.json"
+    estimates.write_text(json.dumps({"median": {"point_estimate": -1.0}}), encoding="utf-8")
+
+    with pytest.raises(ValueError, match=r"median\.point_estimate.*finite and nonnegative"):
+        criterion_dim_plot._read_estimate(estimates, "median")
+
+
+def test_read_estimate_rejects_inverted_confidence_interval(tmp_path: Path) -> None:
+    estimates = tmp_path / "estimates.json"
+    estimates.write_text(
+        json.dumps(
+            {
+                "median": {
+                    "point_estimate": 5.0,
+                    "confidence_interval": {"lower_bound": 6.0, "upper_bound": 4.0},
+                }
+            }
+        ),
+        encoding="utf-8",
+    )
+
+    with pytest.raises(ValueError, match="lower bound must be <= upper bound"):
+        criterion_dim_plot._read_estimate(estimates, "median")
+
+
+def test_read_estimate_rejects_point_outside_confidence_interval(tmp_path: Path) -> None:
+    estimates = tmp_path / "estimates.json"
+    estimates.write_text(
+        json.dumps(
+            {
+                "median": {
+                    "point_estimate": 5.0,
+                    "confidence_interval": {"lower_bound": 1.0, "upper_bound": 4.0},
+                }
+            }
+        ),
+        encoding="utf-8",
+    )
+
+    with pytest.raises(ValueError, match="point estimate must be inside confidence interval"):
+        criterion_dim_plot._read_estimate(estimates, "median")
+
+
+def test_row_rejects_invalid_dimension_and_times() -> None:
+    with pytest.raises(ValueError, match="dimension must be positive"):
+        criterion_dim_plot.Row(
+            dim=0,
+            la_time=1.0,
+            la_lo=1.0,
+            la_hi=1.0,
+            na_time=1.0,
+            na_lo=1.0,
+            na_hi=1.0,
+            fa_time=1.0,
+            fa_lo=1.0,
+            fa_hi=1.0,
+        )
+
+    with pytest.raises(ValueError, match="la_time must be finite and nonnegative"):
+        criterion_dim_plot.Row(
+            dim=2,
+            la_time=float("inf"),
+            la_lo=1.0,
+            la_hi=1.0,
+            na_time=1.0,
+            na_lo=1.0,
+            na_hi=1.0,
+            fa_time=1.0,
+            fa_lo=1.0,
+            fa_hi=1.0,
+        )
+
+    with pytest.raises(ValueError, match="point estimate must be inside confidence interval"):
+        criterion_dim_plot.Row(
+            dim=2,
+            la_time=5.0,
+            la_lo=1.0,
+            la_hi=4.0,
+            na_time=1.0,
+            na_lo=1.0,
+            na_hi=1.0,
+            fa_time=1.0,
+            fa_lo=1.0,
+            fa_hi=1.0,
+        )
+
+
 def test_write_csv_and_collect_rows(tmp_path: Path) -> None:
     rows = [
         criterion_dim_plot.Row(
diff --git a/ty.toml b/ty.toml
index 462efe3..e86712f 100644
--- a/ty.toml
+++ b/ty.toml
@@ -8,7 +8,7 @@ include = [ "scripts" ]
 
 [environment]
 # Match the project's minimum supported Python version.
-python-version = "3.12"
+python-version = "3.13"
 
 [terminal]
 # Keep output concise by default.
diff --git a/uv.lock b/uv.lock
index 5a8f9e5..c8f71d0 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,6 +1,6 @@
 version = 1
 revision = 3
-requires-python = ">=3.12"
+requires-python = ">=3.13"
 resolution-markers = [
     "python_full_version >= '3.15'",
     "python_full_version < '3.15'",
@@ -27,53 +27,12 @@ version = "4.13.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "idna" },
-    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
 ]
 
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-version = "0.5.0"
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