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.

Business Value

  • Credible Voice Discovery: Identify the most reliable cryptocurrency influencers based on comprehensive credibility scoring that considers track record, accuracy, and engagement metrics
  • Risk Mitigation: Filter out unreliable sources by setting minimum quality thresholds (min_tweets) to ensure sufficient track record before inclusion
  • Token-Specific Expertise: Focus on influencers who specialize in specific cryptocurrencies using the token_focus parameter for targeted analysis
  • Performance Analytics: Access detailed track records including accuracy percentages, return metrics, and sentiment analysis to make informed decisions
  • Flexible Sorting: Customize rankings by different metrics (credibility, engagement, reach, alpha generation) to match your specific research or investment strategy

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 false 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 false 25 Maximum number of influencers to return. Range: 1-100
token_focus string false - 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 false credibility Sort results by specified metric. Options: credibility, tweets, engagement, reach, alpha, accuracy
order string false desc Sort direction. Options: asc, desc
time_window string false - Filter influencers by recent activity. Returns only influencers who posted within the specified time window (e.g., '24h', '48h', '7d', '30d'). Pattern: ^[0-9]+[hd]$

Response Field Descriptions

Response Field Type Description
twitterHandle string Twitter username/handle of the influencer
avgViewsPerTweet number Average number of views per tweet
avgEngagementPerTweet number Average engagement (likes, retweets, replies) per tweet
credibilityScore number Overall credibility score combining multiple factors
influenceScore number Numerical score representing overall influence
totalReach number Total reach across all tweets
tokensCovered integer Number of different tokens the influencer has discussed
trackRecordSignals integer Total number of trading signals/predictions made (null if insufficient data)
trackRecordUniqueTokens integer Number of unique tokens in track record (null if insufficient data)
trackRecordActiveDays integer Number of active days with signals (null if insufficient data)
trackRecordFirstSignalDate string Date of first recorded signal (YYYY-MM-DD format, null if insufficient data)
trackRecordLastSignalDate string Date of most recent signal (YYYY-MM-DD format, null if insufficient data)
trackRecordAccuracy24h number Prediction accuracy over 24 hours (percentage, null if insufficient data)
trackRecordAccuracy7d number Prediction accuracy over 7 days (percentage, null if insufficient data)
trackRecordAccuracy30d number Prediction accuracy over 30 days (percentage, null if insufficient data)
trackRecordAvgReturn24h number Average return of predictions over 24 hours (percentage, null if insufficient data)
trackRecordAvgReturn7d number Average return of predictions over 7 days (percentage, null if insufficient data)
trackRecordAvgReturn30d number Average return of predictions over 30 days (percentage, null if insufficient data)
trackRecordBullishSignals integer Number of bullish signals given (null if insufficient data)
trackRecordBearishSignals integer Number of bearish signals given (null if insufficient data)
trackRecordAvgSentiment number Average sentiment score of signals (scale 1-10, null if insufficient data)
trackRecordAvgAlpha number Average alpha generation score (scale 1-10, null if insufficient data)
trackRecordPerformanceTier string Performance tier classification (null if insufficient data)

Examples

1. Top Credible Crypto Influencers

This example demonstrates getting the most credible cryptocurrency influencers with a minimum track record threshold.

curl -X GET "https://deep42.cambrian.network/api/v1/deep42/social-data/influencer-credibility?limit=3&min_tweets=5" \
  -H "X-API-KEY: YOUR_API_KEY" \
  -H "Content-Type: application/json"

Response:

[
  {
    "twitterHandle": "cobie",
    "avgViewsPerTweet": 1102953.43,
    "avgEngagementPerTweet": 11280.0,
    "credibilityScore": 226.39,
    "influenceScore": 7.0,
    "totalReach": 7720674,
    "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": 394270.55,
    "avgEngagementPerTweet": 6012.91,
    "credibilityScore": 87.93,
    "influenceScore": 6.17,
    "totalReach": 4336976,
    "tokensCovered": 3,
    "trackRecordSignals": 59,
    "trackRecordUniqueTokens": 21,
    "trackRecordActiveDays": 48,
    "trackRecordFirstSignalDate": "2025-03-03",
    "trackRecordLastSignalDate": "2026-03-06",
    "trackRecordAccuracy24h": 58.1,
    "trackRecordAccuracy7d": 53.4,
    "trackRecordAccuracy30d": 55.9,
    "trackRecordAvgReturn24h": 1.28,
    "trackRecordAvgReturn7d": 12.61,
    "trackRecordAvgReturn30d": 2.11,
    "trackRecordBullishSignals": 52,
    "trackRecordBearishSignals": 7,
    "trackRecordAvgSentiment": 7.03,
    "trackRecordAvgAlpha": 6.93,
    "trackRecordPerformanceTier": "unproven"
  },
  {
    "twitterHandle": "vitalikbuterin",
    "avgViewsPerTweet": 141308.21,
    "avgEngagementPerTweet": 1316.07,
    "credibilityScore": 37.25,
    "influenceScore": 1.56,
    "totalReach": 1978315,
    "tokensCovered": 3,
    "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
  }
]

The response shows three top-credible crypto influencers. "cobie" leads with the highest credibility score (226.39) and massive reach (over 1.1M average views per tweet). "watcherguru" has a substantial track record with 59 signals and detailed performance metrics. "vitalikbuterin" shows high-quality engagement despite lower volume, with perfect 7-day accuracy (100%).

2. Bitcoin-Focused Influencer Analysis

This example demonstrates filtering for influencers who specifically discuss Bitcoin, sorted by engagement metrics.

curl -X GET "https://deep42.cambrian.network/api/v1/deep42/social-data/influencer-credibility?token_focus=BTC&sort_by=engagement&limit=5&min_tweets=10" \
  -H "X-API-KEY: YOUR_API_KEY" \
  -H "Content-Type: application/json"

Response:

[
  {
    "twitterHandle": "cobie",
    "avgViewsPerTweet": 1102953.43,
    "avgEngagementPerTweet": 11280.0,
    "credibilityScore": 226.39,
    "influenceScore": 7.0,
    "totalReach": 7720674,
    "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": 394270.55,
    "avgEngagementPerTweet": 6012.91,
    "credibilityScore": 87.93,
    "influenceScore": 6.17,
    "totalReach": 4336976,
    "tokensCovered": 3,
    "trackRecordSignals": 59,
    "trackRecordUniqueTokens": 21,
    "trackRecordActiveDays": 48,
    "trackRecordFirstSignalDate": "2025-03-03",
    "trackRecordLastSignalDate": "2026-03-06",
    "trackRecordAccuracy24h": 58.1,
    "trackRecordAccuracy7d": 53.4,
    "trackRecordAccuracy30d": 55.9,
    "trackRecordAvgReturn24h": 1.28,
    "trackRecordAvgReturn7d": 12.61,
    "trackRecordAvgReturn30d": 2.11,
    "trackRecordBullishSignals": 52,
    "trackRecordBearishSignals": 7,
    "trackRecordAvgSentiment": 7.03,
    "trackRecordAvgAlpha": 6.93,
    "trackRecordPerformanceTier": "unproven"
  },
  {
    "twitterHandle": "vitalikbuterin",
    "avgViewsPerTweet": 141308.21,
    "avgEngagementPerTweet": 1316.07,
    "credibilityScore": 37.25,
    "influenceScore": 1.56,
    "totalReach": 1978315,
    "tokensCovered": 3,
    "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
  }
]

This query filters for Bitcoin-focused influencers with established track records (minimum 10 tweets) and ranks them by engagement metrics. The results would show influencers who have specifically discussed Bitcoin, sorted by their average engagement per tweet, helping identify the most engaging voices in the Bitcoin community.## 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.