Cambrian Crypto Influencer Credibility Rankings API

By Cambrian Network deep42

GET /api/v1/deep42/social-data/influencer-credibility

Influencer Credibility

Overview

Returns cryptocurrency influencers ranked by credibility score, track record, accuracy, and engagement metrics. Analyzes high-quality tweets to identify the most reliable voices in crypto. Track record accuracy is measured using directional price predictions at hourly resolution: a bullish signal is correct if the token price increased, bearish if it decreased.

Business Value

  • Identify Reliable Voices: Find the most credible cryptocurrency influencers based on comprehensive metrics including engagement, reach, and track record accuracy
  • Track Record Analysis: Analyze historical performance with directional price predictions measured at 24h, 7d, and 30d timeframes
  • Performance-Based Filtering: Filter influencers by activity level, token focus, and proven track records to find relevant voices for specific use cases
  • Risk Assessment: Evaluate influencer performance tiers (topPerformer >=70% accuracy, proven >=60%, unproven <60%) for informed decision making
  • Social Intelligence: Access detailed engagement metrics, reach data, and sentiment analysis to understand influencer impact and reliability

Endpoint Details

URL:

https://deep42.cambrian.network/api/v1/deep42/social-data/influencer-credibility

Method: GET Authentication: Required via X-API-KEY header

Query Parameters

Parameter Type Required Default Description
min_tweets integer No 5 Minimum number of high-quality tweets required for inclusion (not follower count). Filters out influencers with insufficient track record. Range: 1-100
limit integer No 25 Maximum number of influencers to return. Range: 1-100
token_focus string No - Filter by specific token symbol (e.g., 'BTC', 'ETH', 'SOL'). Returns influencers who have tweeted about this token. Pattern: ^[A-Z0-9]{1,10}$
sort_by string No credibility Sort results by specified metric. Options: credibility, tweets, engagement, reach, alpha, accuracy
order string No desc Sort direction. Options: asc, desc (highest first)
time_window string No - Filter influencers by recent activity. Returns only influencers who posted within specified time window (e.g., '24h', '48h', '7d', '30d'). Pattern: ^[0-9]+[hd]$

Response Field Descriptions

Response Field Type Description
twitterHandle string Twitter username of the influencer
influenceScore number Influence score measuring reach-weighted engagement. Calculated as: (total_views / 1M) * engagement_rate_percent, where engagement_rate = (likes + retweets) / views * 100. The 1M normalization baseline means an influencer with 1 million total views and 1% engagement rate scores 1.0. Unbounded, typically 0-50. >5 = significant, >20 = major influencer
avgViewsPerTweet number Average views per high-quality tweet in the analysis window
avgEngagementPerTweet number Average engagement actions (likes + retweets + replies) per tweet in the analysis window
credibilityScore number Composite credibility score. Formula: (avg_views/50K)*10 + (avg_alpha/10)*5 + (avg_sentiment/10)*2 + log(tweet_count+1)*2. The 50K normalization baseline means an influencer averaging 50K views per tweet scores 10 points from reach alone. Remaining components weight alpha quality (up to 5 pts), sentiment consistency (up to 2 pts), and publishing activity (logarithmic, ~4.6 pts at 100 tweets). Unbounded, typically 5-300. >10 = credible, >50 = highly credible, >200 = top-tier
tokensCovered integer Number of distinct cryptocurrency tokens discussed in high-quality tweets during the analysis window
totalReach integer Sum of views across all analyzed tweets in the time window
trackRecordSignals integer Total bullish/bearish signals made by this influencer. Only counts tweets with sentiment >=7 (bullish) or <=3 (bearish) that have token price data available (nullable)
trackRecordUniqueTokens integer Number of distinct tokens this influencer has made directional signals about (nullable)
trackRecordActiveDays integer Number of distinct calendar days with at least one signal (nullable)
trackRecordFirstSignalDate string ISO date (YYYY-MM-DD) of earliest tracked signal (nullable)
trackRecordLastSignalDate string ISO date (YYYY-MM-DD) of most recent tracked signal (nullable)
trackRecordAccuracy24h number 24-hour directional prediction accuracy (0-100%). A bullish signal is correct if the token price increased within 24h; bearish if it decreased. Prices compared at hourly resolution, rounded to nearest hour from signal timestamp. Calculated only over signals with available 24h price data (nullable)
trackRecordAccuracy7d number 7-day directional prediction accuracy (0-100%). Same methodology as 24h but comparing price 7 days after the signal (nullable)
trackRecordAccuracy30d number 30-day directional prediction accuracy (0-100%). Same methodology as 24h but comparing price 30 days after the signal. Sample size may be smaller than total signals for recently active influencers (nullable)
trackRecordAvgReturn24h number Average directional return % over 24h. For bullish: (price_24h - price_at_signal) / price_at_signal * 100. For bearish: inverted. Positive = directionally profitable on average (nullable)
trackRecordAvgReturn7d number Average directional return % over 7 days (nullable)
trackRecordAvgReturn30d number Average directional return % over 30 days (nullable)
trackRecordBullishSignals integer Count of bullish signals (sentiment >=7) (nullable)
trackRecordBearishSignals integer Count of bearish signals (sentiment <=3) (nullable)
trackRecordAvgSentiment number Average sentiment score across all signals. Range 0-10 (nullable)
trackRecordAvgAlpha number Average alpha score across all signals. Range 0-10 (nullable)
trackRecordPerformanceTier string Performance tier based on 24h accuracy. 'topPerformer' = >=70%, 'proven' = >=60%, 'unproven' = <60%. Null if no accuracy data (nullable)

Examples

1. Top Crypto Influencers by Credibility

Get the top 5 most credible cryptocurrency influencers based on overall credibility score.

curl -X GET "https://deep42.cambrian.network/api/v1/deep42/social-data/influencer-credibility?limit=5" \
  -H "X-API-KEY: YOUR_API_KEY" \
  -H "Content-Type: application/json"

Response:

[
  {
    "twitterHandle": "cobie",
    "avgViewsPerTweet": 851444.6,
    "avgEngagementPerTweet": 9399.4,
    "credibilityScore": 175.57,
    "influenceScore": 3.96,
    "totalReach": 4257223,
    "tokensCovered": 1,
    "trackRecordSignals": null,
    "trackRecordUniqueTokens": null,
    "trackRecordActiveDays": null,
    "trackRecordFirstSignalDate": null,
    "trackRecordLastSignalDate": null,
    "trackRecordAccuracy24h": null,
    "trackRecordAccuracy7d": null,
    "trackRecordAccuracy30d": null,
    "trackRecordAvgReturn24h": null,
    "trackRecordAvgReturn7d": null,
    "trackRecordAvgReturn30d": null,
    "trackRecordBullishSignals": null,
    "trackRecordBearishSignals": null,
    "trackRecordAvgSentiment": null,
    "trackRecordAvgAlpha": null,
    "trackRecordPerformanceTier": null
  },
  {
    "twitterHandle": "watcherguru",
    "avgViewsPerTweet": 294180.56,
    "avgEngagementPerTweet": 4518.88,
    "credibilityScore": 68.83,
    "influenceScore": 6.73,
    "totalReach": 4706889,
    "tokensCovered": 3,
    "trackRecordSignals": 59,
    "trackRecordUniqueTokens": 21,
    "trackRecordActiveDays": 48,
    "trackRecordFirstSignalDate": "2025-03-03",
    "trackRecordLastSignalDate": "2026-03-06",
    "trackRecordAccuracy24h": 58.1,
    "trackRecordAccuracy7d": 53.4,
    "trackRecordAccuracy30d": 57.1,
    "trackRecordAvgReturn24h": 1.28,
    "trackRecordAvgReturn7d": 12.61,
    "trackRecordAvgReturn30d": 2.31,
    "trackRecordBullishSignals": 52,
    "trackRecordBearishSignals": 7,
    "trackRecordAvgSentiment": 7.03,
    "trackRecordAvgAlpha": 6.93,
    "trackRecordPerformanceTier": "unproven"
  },
  {
    "twitterHandle": "aster_dex",
    "avgViewsPerTweet": 136948.13,
    "avgEngagementPerTweet": 687.13,
    "credibilityScore": 34.02,
    "influenceScore": 0.51,
    "totalReach": 1095585,
    "tokensCovered": 2,
    "trackRecordSignals": 134,
    "trackRecordUniqueTokens": 67,
    "trackRecordActiveDays": 63,
    "trackRecordFirstSignalDate": "2025-12-07",
    "trackRecordLastSignalDate": "2026-03-06",
    "trackRecordAccuracy24h": 44.4,
    "trackRecordAccuracy7d": 31.8,
    "trackRecordAccuracy30d": 25.0,
    "trackRecordAvgReturn24h": -4.42,
    "trackRecordAvgReturn7d": -3.25,
    "trackRecordAvgReturn30d": -6.6,
    "trackRecordBullishSignals": 128,
    "trackRecordBearishSignals": 6,
    "trackRecordAvgSentiment": 7.49,
    "trackRecordAvgAlpha": 7.19,
    "trackRecordPerformanceTier": "unproven"
  },
  {
    "twitterHandle": "vitalikbuterin",
    "avgViewsPerTweet": 115580.09,
    "avgEngagementPerTweet": 1194.82,
    "credibilityScore": 31.49,
    "influenceScore": 1.11,
    "totalReach": 1271381,
    "tokensCovered": 2,
    "trackRecordSignals": 1,
    "trackRecordUniqueTokens": 1,
    "trackRecordActiveDays": 1,
    "trackRecordFirstSignalDate": "2026-02-18",
    "trackRecordLastSignalDate": "2026-02-18",
    "trackRecordAccuracy24h": null,
    "trackRecordAccuracy7d": 100.0,
    "trackRecordAccuracy30d": null,
    "trackRecordAvgReturn24h": null,
    "trackRecordAvgReturn7d": 0.07,
    "trackRecordAvgReturn30d": null,
    "trackRecordBullishSignals": 1,
    "trackRecordBearishSignals": 0,
    "trackRecordAvgSentiment": 9.0,
    "trackRecordAvgAlpha": 7.0,
    "trackRecordPerformanceTier": null
  },
  {
    "twitterHandle": "worldlibertyfi",
    "avgViewsPerTweet": 132681.5,
    "avgEngagementPerTweet": 665.67,
    "credibilityScore": 31.48,
    "influenceScore": 0.33,
    "totalReach": 796089,
    "tokensCovered": 2,
    "trackRecordSignals": 11,
    "trackRecordUniqueTokens": 4,
    "trackRecordActiveDays": 11,
    "trackRecordFirstSignalDate": "2025-06-02",
    "trackRecordLastSignalDate": "2026-03-06",
    "trackRecordAccuracy24h": 71.4,
    "trackRecordAccuracy7d": 63.6,
    "trackRecordAccuracy30d": 0.0,
    "trackRecordAvgReturn24h": 25.89,
    "trackRecordAvgReturn7d": 66.38,
    "trackRecordAvgReturn30d": -8.66,
    "trackRecordBullishSignals": 11,
    "trackRecordBearishSignals": 0,
    "trackRecordAvgSentiment": 7.64,
    "trackRecordAvgAlpha": 6.73,
    "trackRecordPerformanceTier": "topPerformer"
  }
]

This returns the top 5 crypto influencers ranked by credibility score. The response includes cobie with the highest credibility score (175.57) and significant reach (851K avg views per tweet), watcherguru with strong engagement metrics and track record data, and worldlibertyfi showing "topPerformer" tier with 71.4% 24h accuracy.

2. Bitcoin-Focused Influencers

Find influencers who specifically discuss Bitcoin, sorted by credibility.

curl -X GET "https://deep42.cambrian.network/api/v1/deep42/social-data/influencer-credibility?token_focus=BTC&limit=10" \
  -H "X-API-KEY: YOUR_API_KEY" \
  -H "Content-Type: application/json"

Response:

[Similar structure but filtered for Bitcoin-focused influencers]

This filters for influencers who have tweeted about Bitcoin specifically, providing targeted insights for Bitcoin-related investment decisions and market analysis.

API Versioning

This endpoint supports multiple API versions. Use the Accept header to request a specific version.

Available Versions

Version State Default Accept Header
2.0.0 Current Yes application/vnd.cambrian.deep42.social-data.influencer-credibility.v2+json
1.0.0 Current No application/vnd.cambrian.deep42.social-data.influencer-credibility.v1+json

How to Request a Specific Version

curl -X GET "https://deep42.cambrian.network/api/v1/deep42/social-data/influencer-credibility" \
  -H "X-API-KEY: YOUR_API_KEY" \
  -H "Accept: application/vnd.cambrian.deep42.social-data.influencer-credibility.v2+json"

Version Lifecycle

  • Current: Actively maintained and recommended for new integrations
  • Deprecated: Still functional but scheduled for removal (check deprecated_at)
  • Sunset: No longer available (returns 410 Gone)

Note: If no Accept header is specified, the default version (2.0.0) is returned.

Related Endpoints

  • /api/v1/deep42/social-data/alpha-tweet-detection - Identify high-alpha cryptocurrency tweets from verified influencers pi/v1/deep42/social-data/trending-momentum - Track trending cryptocurrencies and momentum shifts/d pi/v1/deep42/social-data/token-analysis - Analyze specific token sentiment and social metrics/d
  • /api/v1/deep42/social-data/sentiment-shifts - Track sentiment changes across cryptocurrency communities
    pi/v1/deep42/social-data/trending-momentum - Track trending cryptocurrencies and momentum shifts/d pi/v1/deep42/social-data/token-analysis - Analyze specific token sentiment and social metrics/d
  • /api/v1/deep42/social-data/token-analysis - Analyze specific token sentiment and social metrics pi/v1/deep42/social-data/trending-momentum - Track trending cryptocurrencies and momentum shifts/d pi/v1/deep42/social-data/token-analysis - Analyze specific token sentiment and social metrics/d
  • /api/v1/deep42/social-data/trending-momentum - Track trending cryptocurrencies and momentum shifts pi/v1/deep42/social-data/trending-momentum - Track trending cryptocurrencies and momentum shifts/d pi/v1/deep42/social-data/token-analysis - Analyze specific token sentiment and social metrics/d