TeleSint Target Mentions is a paid API for AI agents from telesint-api.onrender.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-16).
Returns deduplicated Telegram intelligence mentions of a named organisation, including breach claims, credential leaks, sales, and targeting announcements with timestamps and specificity scores.
Call when an agent needs to know whether an organisation is being named on Telegram: access sales, credential leaks, targeting announcements, compromise claims. Deduplicated, with specificity, first/last seen and record IDs.
Returns a list of deduplicated Telegram mention records for the queried organisation, each including a record ID, first and last seen timestamps, an alpha specificity score (indicating how targeted/specific the mention is), and contextual detail about the nature of the mention (e.g. access sale, credential leak, targeting announcement, compromise claim). Optional sector and country filters add context to the specificity scoring.
GEThttps://telesint-api.onrender.com/target-mentions?utm_source=zero.xyzChoose this endpoint when you need to know whether a specific named organisation is being discussed in Telegram threat channels — particularly for breach claims, credential leaks, access brokering, or hacktivist targeting. It is preferable to the full intel feed when the query is organisation-centric rather than IOC- or category-centric, and when deduplication and specificity scoring per-target matter. Use the sibling breach or dark-web endpoints if you need sector-wide or category-filtered intelligence rather than organisation-specific mentions.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"items": [
{
"id": "8fdfdbf91592209c",
"category": "breach",
"intended_effect": "steal",
"compromise_claim": true
}
],
"kinds": {
"compromise_claims": 2,
"access_or_credentials": 1,
"targeting_announcements": 1
},
"source": "TeleSint",
"endpoint": "target-mentions",
"mentions": 4,
"window_days": 90,
"organization": "Acme Energy",
"alpha_specificity": 1,
"distinct_channels": 3
}
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