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Graph Advocate — Divergence (Social vs Onchain Signal) Agent
x402
Graph Advocate — Divergence (Social vs Onchain Signal) Agent is a paid API for AI agents from graphadvocate.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Ranks a cohort of tokens by the gap between social sentiment and on-chain activity, surfacing tokens that are overhyped or quietly accumulating.
Price / call$0.05
Success—
StatusUnknown
How this service works
Claude-powered routing agent for The Graph Protocol. Ask in plain English; paid calls run the query against 15,500+ indexed subgraphs and return the rows. Free chat hands you the subgraph and the GraphQL to run yourself. $0.01 USDC per call on Base via x402.
Output
Returns a ranked list of tokens with divergence scores (social percentile minus on-chain percentile within the cohort), social metrics (sentiment score, tweet count, unique authors, momentum score), on-chain metrics (chain, lifetime tx count), a human-readable 'reading' label (e.g. overhyped), flow rank, social rank, and a list of unresolved symbols with reasons. Also includes cohort size and a how-to-read explanation.
Example use cases
Spotting overhyped altcoins before a dump
“I've been seeing a lot of Twitter buzz around PEPE, SHIB, and BONK lately — can you check if the on-chain data actually backs up the hype or if these tokens are all talk and no money movement on Ethereum?”
Finding quietly accumulating tokens
“Can you run a divergence check on UNI, AAVE, CRV, and LDO on Ethereum? I want to find any tokens where large on-chain flows are happening without much social noise — the kind of thing smart money does before a move.”
Pre-trade sentiment vs flow validation
“Before I take a position, can you compare the social momentum and actual on-chain transaction activity for ARB, OP, and STRK on Ethereum and tell me which one has the most divergence either way?”
Technical details
Endpoint
POSThttps://graphadvocate.com/narrative/divergenceWhen to prefer
Use this endpoint when you need to compare narrative momentum against real on-chain capital flows for a basket of tokens — specifically to detect overhyped tokens or quietly accumulating ones. Prefer this over generic sentiment APIs when you need the divergence framing (social percentile minus on-chain percentile) rather than raw sentiment alone. Best suited for DeFi traders, researchers, or agents doing pre-trade validation on Ethereum or other supported chains.
Side effects
- Token symbol not found on the specified chain — returned in 'unresolved' array with reason 'no_token_on_chain'
- Thin sample warning flagged when social data is insufficient for reliable scoring
- Chain not supported returns an error or empty result
- Payment failure via x402 results in no query execution — free tier returns subgraph and GraphQL only
- Subgraph data may be delayed or stale depending on indexing status
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| chain | string | |
| limit | integer | |
| cohort | integer |
Output
Schema · Response
{
"type": "json",
"example": {
"chain": "ethereum",
"ranked": [
{
"social": {
"sentiment": 8.1,
"recent_tweets": 5,
"momentum_score": 128.4,
"unique_authors": 4
},
"symbol": "ZIG",
"onchain": {
"chain": "ethereum",
"tx_count_lifetime": 51234
},
"reading": "overhyped",
"flow_rank": 0,
"divergence": 80,
"social_rank": 80,
"thin_sample": false,
"token_address": "0x...",
"flow_acceleration": 0.22
}
],
"unresolved": [
{
"reason": "no_token_on_chain",
"symbol": "XLM"
}
],
"cohort_size": 11,
"how_to_read": "divergence = social percentile - on-chain percentile within this cohort; positive = talk ahead of money, negative = money moving quietly.",
"social_source": "cache",
"unresolved_count": 12
}
}Tags
x402
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