Prism Answers API
Scrape Prism Answers data with one API call. Fans your question to multiple AI engines in parallel and keeps each answer verbatim, merges + dedupes their citations by normalized URL (with a `cited_by` list), and computes where they agree and disagree: a pairwise `agreement_matrix` + `disputed_claims` (the one labeled LLM step — degrades to null on failure) plus a deterministic `citation_overlap` (Jaccard, hand-verifiable). The second-opinion API for agents — one question, one bounded-cost call. Streams each engine's answer as it settles (SSE). `include=polymarket` adds probabilistic-market grounding. 15cr flat; a strict-majority engine failure refunds half (the raw answers are always the floor value).
Last updated June 2026
Try the Prism Answers API
See real data before writing a single line
Searching 42 platforms in parallel
TikTok·
Instagram·
YouTube·
Facebook·
X·
LinkedIn·
Reddit·
Threads·
Pinterest·
Twitch·
Truth Social·
Snapchat·
Kick·
Bluesky·
Kwai·
Rumble·
Spotify·TikTok Shop·
Amazon Shop·
Google Shopping·
Trustpilot·
TripAdvisor·
Linktree·
Komi·
Pillar·
lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·
Polymarket·
Tavily·
Hacker News·
GitHub·
Perplexity·
Naver·UUtility·
Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal SearchTikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal SearchWhat can you do with the Answers API?
The Answers endpoint gives you structured Prism data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl "https://www.socialcrawl.dev/v1/prism/answers?query=will+the+fed+cut+rates+in+september" \
-H "x-api-key: YOUR_API_KEY"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/prism/answers",
headers={"x-api-key": "YOUR_API_KEY"},
params={"query": "will the fed cut rates in september"},
)
data = response.json()const params = new URLSearchParams({
"query": "will the fed cut rates in september",
});
const response = await fetch(`https://www.socialcrawl.dev/v1/prism/answers?${params}`, {
headers: { "x-api-key": "YOUR_API_KEY" },
});
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| query | Yes | The question, forwarded verbatim to every engine. |
| engines | No | CSV subset of perplexity,grok,tavily (default all three). |
| include | No | CSV of optional grounding legs: `polymarket` adds market probabilities (trimmed). |
How does the Prism Answers API work?
Send a GET request with your API key and get back clean, structured JSON. Every response follows our unified schema with computed fields.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 42 platforms covering 10B+ monthly active users.
One schema, every platform
Query 42 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
Every response includes engagement_rate, estimated_reach, content_category, and language — ready to use.
See your data before you code
Visual Data Explorer — paste any URL, get rich result cards, sortable tables, CSV export.
import requests
response = requests.get(
'https://www.socialcrawl.dev/v1/tiktok/profile',
params={'handle': 'charlidamelio'},
headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
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