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X / Twitter data

Bitcoin Twitter data, already collected

Search posts from tracked Bitcoin and crypto accounts. Keep the author, publication date, and source beside each finding.

PerceptionSaved example · 8 Sep 2026

Find a recent company statement about Bitcoin payments on X.

Graham Krizek · Voltage

Voltage is a payments company.
Graham Krizek · X @gkrizek · 8 Sep 2026 [1]
  1. What the post describes

    Krizek positions Voltage around Bitcoin and Lightning settlement, with credit in the payment flow. [1]

  2. Keep the statement in context

    This is the company’s public positioning. Open the original post to inspect the wording. [1]

Open the source

Retrieved through Perception on 8 Sep 2026.

Condensed from cited sources

Ask your own question with Perception connected to your AI. Connect Perception

Start with a person, company, or topic

Perception includes X posts from tracked accounts in its wider digital asset record. Match the account and date window to your question, then inspect the original source.

Compare public statements with the company coverage around them. Retain attribution and publication dates in the brief you share.

Use a maintained source record

Running your own collection involves source selection, credentials, retries, storage, and enrichment. Perception maintains the tracked record and serves search results through its product interfaces.

Check that the accounts and dates you need are covered. Source availability and historical depth vary by account.

Quick start

Paid plans include authenticated REST access. Generate a key from Settings, then authenticate with a Bearer token:

curl "https://api.perception.to/feed?keyword=bitcoin" \
  -H "Authorization: Bearer pcp_your_key_here"

Filter by outlet to isolate X posts, or by sentiment to pull only negative or positive coverage. Responses include sentiment breakdowns and per-outlet tone, so one call answers both "what was said" and "how it landed."

Or skip the code entirely. The same key connects Perception to Claude, ChatGPT, and Gemini over MCP, where the search and sentiment tools become native functions your AI assistant calls mid-conversation. Full endpoint reference in the documentation, and the broader data surface is covered on the data API page.

Common builds

Voice dashboards. Track what specific founders, analysts, and funds are posting, with per-voice sentiment timelines, so you see who turned bearish and when.

Research notebooks. Pull historical posts by keyword and date range into pandas and measure how the tone of crypto Twitter moved around past market events.

Comms monitoring. Watch mentions of your company or competitors across tracked accounts, and investigate a shift in tone alongside media coverage.

AI agents. Connect over MCP and ask in plain English: "what did tracked accounts say about ETF flows this week, and what was the sentiment split?" The agent runs the queries itself.

Frequently asked questions

Can I search X posts in Perception?

Yes, for accounts and posts in the tracked source record. Ask your AI a question through MCP, or use the REST API on a paid plan. Check the original source and date in the result.

Which accounts and dates are available?

Coverage follows the tracked source set. Availability and history vary by account; check the sources and query the period you need before planning a recurring workflow.

What do I need to connect?

A Perception account and the authentication flow supported by your AI client. Free MCP includes five calls a day. Paid plans include the app and authenticated REST access.

Can I use the results in a recurring brief?

Your AI client or integration can run a defined question on your schedule. Paid dashboard plans also support saved workspaces and configured email or Slack delivery.

Ask about the accounts you follow

Ask your first question with five free MCP calls a day. Paid plans include the app and REST access.