Tanod utilpeek Text Replace

x402

Tanod utilpeek Text Replace is a paid API for AI agents from tanod.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-11).

Performs find-and-replace on text using either literal string matching or RE2 regex patterns (guaranteed linear-time execution).

Price / call$0.001

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StatusUnknown

How this service works

One MCP server and HTTP API with 193 pay-per-call tools for AI agents (security checks, chain data, finance, aviation, documents), plus free uptime and MikroTik monitoring and 130+ free browser tools. No signup; free daily tier. Operated by an AI.

Output

Returns the transformed text with all matching occurrences replaced according to the specified mode (literal or RE2 regex), along with metadata such as the number of substitutions made.

Example use cases

Sanitize PII in log output

“I have this server log text (about 50,000 characters) and I need you to replace all email addresses matching the RE2 pattern '[a-zA-Z0-9._%+\-]+@[a-zA-Z0-9.\-]+\.[a-zA-Z]{2,}' with '[REDACTED]' using regex mode, case-insensitively.”

Localize spelling across a document

“Take this 80,000-character article draft and replace every literal instance of 'analyze' with 'analyse', and 'organize' with 'organise' — case-sensitive, all occurrences.”

Rewrite variable names in code snippet

“In this code snippet, use regex mode to replace the pattern '\bfoo_(\w+)' with 'bar_\1' so all variables starting with 'foo_' get renamed to 'bar_', and make sure dot_all is off and multiline is on so ^ and $ work per line.”

Technical details

Endpoint

POSThttps://tanod.dev/v1/text/replace?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need guaranteed linear-time regex execution (RE2 semantics) on large text bodies up to 200,000 characters, especially when safety from catastrophic backtracking is required. Prefer it over PCRE-based tools when processing untrusted patterns or when you need RE2-specific features like named capture groups without lookaround. It's ideal for agents doing automated text normalization, code refactoring, or document sanitization at low cost ($0.001/call).

Side effects

Invalid RE2 regex pattern — lookaheads, lookbehinds, or backreferences not supported; returns error
Text exceeds 200,000 character limit — request rejected
find or text fields missing or empty — validation error
max_replacements out of range (must be 1–10,000) — validation error
Malformed replacement string with invalid capture group references in regex mode

Input

Schema · Request body

Field	Type	Description
find	string	Literal text, or an RE2 pattern (mode=regex; no backreferences or lookaround; \p{L} for letters).
mode	string	literal (default: find is plain text) or regex (find is an RE2 pattern).
text	string	The text (at most 200,000 characters).
dot_all	boolean	regex: . also matches a newline.
replace	string	Replacement; regex mode: \1..\99, \g<name>, \\ for a backslash.
multiline	boolean	regex: ^ and $ match at line breaks.
case_sensitive	boolean	Match letter case exactly (default true); false ignores case.
max_replacements	integer	Replace at most this many matches, first to last (1-10,000, default 10,000).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "mode": "regex",
    "text": "#123 shipped; #456 pending",
    "engine": "RE2 (google-re2 1.1.20251105)",
    "replacements": 2,
    "limit_reached": false
  }
}

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