Tanod ML

utilpeek: score the sentiment of a text (VADER)

text_sentiment

Read-onlyIdempotent

utilpeek: Analyze the sentiment of an English text. Returns VADER sentiment of an English text: compound (-1 to 1), positive / neutral / negative shares and a label (positive at 0.05 or more, negative at -0.05 or less), optionally per sentence. A lexicon heuristic: it misses sarcasm and domain jargon. Input: text and optional per_sentence. Typically under 1 s. Price: USD 0.001. Free: 10 utilpeek calls per IP per UTC day. Tanod does not log or store the submitted text; it is processed in memory for this answer.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`text`	Yes	The text (at most 200,000 characters).
`per_sentence`	No	Also score each sentence (default false: whole text only).

Output Schema

TableJSON Schema

Name	Required	Description
`error`	No	Only on an error result: an object {code, message}, or the reason string of an x402 PaymentRequired object.
`label`	No
`method`	No
`source`	No
`neutral`	No
`compound`	No
`language`	No
`negative`	No
`positive`	No
`sentences`	No
`input_truncated`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedOct 8, 2026

addedInput schema / properties / per_sentence / description

Added value: +"Also score each sentence (default false: whole text only)."

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "compound": {
+      "type": [
+        "number",
+        "null"
+      ]
+    },
+    "error": {
+      "description": "Only on an error result: an object {code, message}, or the reason string of an x402 PaymentRequired object."
+    },
+    "input_truncated": {
+      "type": [
+        "boolean",
+        "null"
+      ]
+    },
+    "label": {
+      "enum": [
+        "positive",
+        "neutral",
+        "negative",
+        null
+      ],
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "language": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "method": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "negative": {
+      "type": [
+        "number",
+        "null"
+      ]
+    },
+    "neutral": {
+      "type": [
+        "number",
+        "null"
+      ]
+    },
+    "positive": {
+      "type": [
+        "number",
+        "null"
+      ]
+    },
+    "sentences": {
+      "type": [
+        "integer",
+        "array",
+        "null"
+      ]
+    },
+    "source": {
+      "type": [
+        "object",
+        "null"
+      ]
+    }
+  },
+  "type": "object"
+}

First observedOct 8, 2026

TDQS

Score is being calculated.

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