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utilpeek: extract emails, URLs, IPs, dates and more from text

text_extract
Read-onlyIdempotent

utilpeek: Extract emails, URLs, domains, IPs, dates and crypto addresses from text. Returns the emails, URLs, domains (ICANN suffixes), IPv4 / IPv6, phone-like numbers, hashtags, mentions, EVM and BTC addresses (Base58Check / Bech32 checksums verified) and dates (normalised to ISO) found in the text, deduplicated and counted in first-seen order; patterns run on RE2 and each hit is re-checked. Input: text, optional types and max_per_type. Phone hits are phone-like digit groups, not validated numbers (see /v1/phone). Typically under 0.7 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
NameRequiredDescriptionDefault
textYesThe text (at most 200,000 characters).
typesNoDefault: all types.
max_per_typeNoMost distinct items returned per type (1-1000, default 100); `truncated` says when more were found.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoOnly on an error result: an object {code, message}, or the reason string of an x402 PaymentRequired object.
notesNo
typesNo
sourceNo
resultsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / max_per_type / description
      Added value: +"Most distinct items returned per type (1-1000, default 100); `truncated` says when more were found."
    • 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."
+    },
+    "notes": {
+      "type": [
+        "object",
+        "null"
+      ]
+    },
+    "results": {
+      "additionalProperties": {
+        "properties": {
+          "items": {
+            "items": {
+              "type": [
+                "object",
+                "null"
+              ]
+            },
+            "type": [
+              "array",
+              "null"
+            ]
+          },
+          "scan_truncated": {
+            "type": [
+              "boolean",
+              "null"
+            ]
+          },
+          "total": {
+            "type": [
+              "integer",
+              "null"
+            ]
+          },
+          "truncated": {
+            "type": [
+              "boolean",
+              "null"
+            ]
+          },
+          "unique": {
+            "type": [
+              "integer",
+              "null"
+            ]
+          }
+        },
+        "type": [
+          "object",
+          "null"
+        ]
+      },
+      "type": [
+        "object",
+        "null"
+      ]
+    },
+    "source": {
+      "type": [
+        "object",
+        "null"
+      ]
+    },
+    "types": {
+      "items": {
+        "type": [
+          "string",
+          "null"
+        ]
+      },
+      "type": [
+        "array",
+        "null"
+      ]
+    }
+  },
+  "type": "object"
+}
  2. First observed

TDQS

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