Tanod ML

mlpeek: classify text into your own labels (zero-shot)

classify_zero_shot

Read-onlyIdempotent

mlpeek: Classify a text into 1-10 of your labels. Returns scores of 1-10 caller-supplied labels for an English text with the nli-deberta-v3-xsmall NLI cross-encoder (Apache-2.0): single-label scores sum to 1 (softmax over the labels), multi_label scores each label on its own; sorted best first. Scores are model confidences, not calibrated probabilities. Input: text, labels, optional multi_label and hypothesis_template. English only. Runs an open model pinned by hash on Tanod's own CPU (no LLM, no third-party API); an unavailable model is a 503 (not charged). Typically 0.1-0.2 s for a short text and 5 labels, up to about 5 s at 10 labels. Price: USD 0.001. Free: 5 mlpeek 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	English text, at most 2,000 characters.
`labels`	Yes	1-10 unique candidate labels, each at most 100 characters.
`multi_label`	No	Score each label on its own instead of making them compete.
`hypothesis_template`	No	Must contain {} exactly once.	This example is about {}.

Output Schema

TableJSON Schema

Name	Required	Description
`note`	No
`error`	No	Only on an error result: an object {code, message}, or the reason string of an x402 PaymentRequired object.
`model`	No
`usage`	No
`labels`	No
`truncated`	No
`multi_label`	No
`hypothesis_template`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 8, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "properties": {
+    "error": {
+      "description": "Only on an error result: an object {code, message}, or the reason string of an x402 PaymentRequired object."
+    },
+    "hypothesis_template": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "labels": {
+      "items": {
+        "properties": {
+          "label": {
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "score": {
+            "type": [
+              "number",
+              "null"
+            ]
+          }
+        },
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "type": [
+        "array",
+        "null"
+      ]
+    },
+    "model": {
+      "properties": {
+        "alias": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "id": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "license": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "revision": {
+          "type": [
+            "string",
+            "null"
+          ]
+        },
+        "source": {
+          "type": [
+            "string",
+            "null"
+          ]
+        }
+      },
+      "type": [
+        "object",
+        "null"
+      ]
+    },
+    "multi_label": {
+      "type": [
+        "boolean",
+        "null"
+      ]
+    },
+    "note": {
+      "type": [
+        "string",
+        "null"
+      ]
+    },
+    "truncated": {
+      "type": [
+        "boolean",
+        "null"
+      ]
+    },
+    "usage": {
+      "type": [
+        "object",
+        "null"
+      ]
+    }
+  },
+  "type": "object"
+}

First observedOct 8, 2026

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