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TechCrunch Disrupt 2026 Attendees MCP

Pricing

from $3.00 / 1,000 mcp tool calls

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TechCrunch Disrupt 2026 Attendees MCP

TechCrunch Disrupt 2026 Attendees MCP

Attendee records for TechCrunch Disrupt 2026. Fields include name, org, attendance type, confidence, status, timestamps, and evidence_url when present. Standby MCP. $0.20 per tool call, $4 per export. About 186 records. Not a full badge list. Not an official TechCrunch product.

Pricing

from $3.00 / 1,000 mcp tool calls

Rating

0.0

(0)

Developer

AI Catraz

AI Catraz

Maintained by Community

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0

Bookmarked

1

Total users

0

Monthly active users

13 hours ago

Last modified

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Attendee records for TechCrunch Disrupt 2026 (October 13 to 15, San Francisco).

About 186 records. Each row is one person linked to the event.

Fields

FieldMeaning
record_idId for the person at this event
event_id / event_nameEvent ids
person_nameName
orgOrganization, when present
roleTitle or role, when present
attendance_typeRecord class (example: speaker)
evidence_urlSupporting public URL, when present
confidence0 to 1
statusExample values: active, stale
first_seen / last_seenFirst and latest observation times
snippetShort text excerpt, when present

Tools

MCP: https://aicatraz--tc-disrupt-2026-attendees.apify.actor/mcp

ToolPriceOutput
event_info$0.20Event metadata and dataset scope
list_attendees$0.20Paginated records
get_attendee$0.20One record by record_id
search_attendees$0.20Records matching name, org, or role
export_attendees$4.00JSON or JSONL export

Pay per event on the charges above.

Example

{
"record_id": "tc-disrupt-2026-speaker-example",
"event_id": "tc-disrupt-2026",
"event_name": "TechCrunch Disrupt 2026",
"person_name": "Alex Example",
"org": "Example Co",
"role": "CEO",
"attendance_type": "speaker",
"evidence_url": "https://example.com/speaker-page",
"confidence": 0.95,
"status": "active",
"first_seen": "2026-09-25T00:00:00+00:00",
"last_seen": "2026-09-25T00:00:00+00:00"
}

Updates

Standby serves the current store over MCP. Input mode=refresh rebuilds the store, upserts rows, bumps last_seen, and sets missing rows to status: stale.

Notes

  • Not every attendee at the venue
  • aicatraz dataset, not an official TechCrunch product