Source: Autobound Signal API · 65 signals tracked for BCG · updated
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What changed at BCG this week? Use Autobound signals for bcg.com.@BCG
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BCG’s 2026 Applied AI Index has found that 42% of companies expect their agents to act autonomously by 2030. However, just 5% of companies have the relevant agent controls in place. Recent events have shown that scaling agentic AI workflows bears a risk. Discover more about the six essential controls that are needed. https://t.co/KhhPl7O6HI
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twitter-company-poststwitter_postGet every X (Twitter) signal for BCG and the companies you sell to, in the tools you already use.
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This page shows a preview. The full twitter-company-posts record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/9dcb47f6-c85d-4965-8e00-0377b1c2da9e returns this record as JSON. POST /v1/companies/enrich returns every signal for bcg.com.
{
"signal_id": "9dcb47f6-c85d-4965-8e00-0377b1c2da9e",
"signal_type": "twitter-company-posts",
"signal_subtype": "twitter_post",
"detected_at": "2026-10-09T05:00:00+00:00",
"company": {
"name": "BCG",
"domain": "bcg.com"
},
"data": {
"tags": [
"Artificial Intelligence",
"Risk",
"Compliance",
"Corporate Strategy"
],
"urls": [
"https://on.bcg.com/4jvKtHA"
],
"summary": "BCG's 2026 Applied AI Index reveals a gap between autonomous agent expectations and control implementation.",
"is_reply": false,
"language": "en",
"post_url": "https://x.com/BCG/status/2108422205235253736",
"tweet_id": "2108422205235253736",
"num_likes": 100,
"num_views": 10247,
"post_text": "BCG’s 2026 Applied AI Index has found that 42% of companies expect their agents to act autonomously by 2030. However, just 5% of companies have the relevant agent controls in place. \n\nRecent events have shown that scaling agentic AI workflows bears a risk. \n\nDiscover more about the six essential controls that are needed. https://t.co/KhhPl7O6HI",
"num_quotes": 9,
"num_replies": 10,
"num_reposts": 35,
"posted_date": "Fri Oct 09 05:00:00 +0000 2026",
"num_bookmarks": 68,
"company_twitter_bio": "Official global account of Boston Consulting Group. Highlights of our work, initiatives, people, partnerships, and more. Also @BCGhenderson & @bcgx_",
"company_twitter_url": "https://x.com/BCG",
"company_twitter_handle": "BCG",
"company_twitter_location": "Global",
"company_twitter_verified": false,
"company_twitter_followers": 504350,
"company_twitter_following": 810,
"company_twitter_total_tweets": 19784,
"company_twitter_account_created": "Fri Feb 24 13:59:03 +0000 2012",
"company_twitter_verification_type": "Business"
}
}
curl https://signals.autobound.ai/v1/signals/9dcb47f6-c85d-4965-8e00-0377b1c2da9e \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"bcg.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.