Otto AI Token Score is a paid API for AI agents from x402.ottoai.services, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Returns a composite 0-100 market structure score for a Base ERC-20 token, derived from seven weighted factors including liquidity, holder concentration, volume, age, pool breadth, and price stability.
Token score by contract address — one 0-100 composite of a Base token market structure from seven weighted factors: USD liquidity, holder concentration, holder count, 24h volume, market age, pool breadth and price stability. Every sub-score, weight, raw input, source plane and read time comes back with the number, plus the full breakpoint curve, so the score can be recomputed from the response. A factor whose data plane is unavailable is reporte…
Returns a JSON object with: a composite 0-100 score and band label (e.g. 'high'), an array of seven factor objects each containing key, raw input value, sub-score, weight, data plane name, and read timestamp, a formula object with the full breakpoint curves so the score can be independently recomputed, coverage metadata (how many factors were present, total weight coverage), token context fields (FDV, market cap, price, 24h volume, holder count, pool count, top-10 supply percent), caveats, a methodology URL, and a generatedAt timestamp.
GEThttps://x402.ottoai.services/token-scoreUse this endpoint when you need a structured, auditable, multi-factor market quality score for a specific Base ERC-20 token identified by contract address. Prefer it over generic token price endpoints when you need more than price — specifically liquidity depth, holder distribution, pool breadth, and price stability combined into a single comparable number. It is especially valuable when comparing tokens, screening for rug-pull risk, or justifying a position programmatically, because the full breakpoint curves and sub-scores make the composite reproducible and explainable. Use the contract address form (not ticker) to avoid cross-chain resolution ambiguity.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"data": {
"band": "high",
"note": "A single 0-100 read on this toke...",
"score": 74.6,
"token": {
"name": "Brett",
"symbol": "BRETT",
"address": "0x532f27101965dd16442e59d40670fa...",
"network": "base"
},
"caveats": [
{
"code": "token_score_is_market_structure_...",
"plain": "This score measures market struc...",
"affects": [
"score"
]
}
],
"context": {
"fdvUsd": 418200000,
"priceUsd": 0.04182,
"turnover24h": 0.121,
"liquidityUsd": 1115151.5,
"marketCapUsd": 414220000,
"totalHolders": 3420,
"volume24hUsd": 284110.9,
"poolsReturned": 20,
"distinctDexCount": 10,
"matchedPoolCount": 20,
"oldestPoolAgeDays": 118,
"priceChange24hPct": -6.8,
"pooledLiquidityUsd": 2343405.11,
"top10SupplyPercent": 33.4,
"absPriceChange24hPct": 6.8,
"holderChange7dPercent": 1.9
},
"factors": [
{
"key": "liquidity",
"input": 2343405.11,
"plane": "dex-pools-token",
"score": 85.6,
"weight": 0.24,
"present": true,
"measures": "USD liquidity summed across the ...",
"inputUnit": "USD",
"planeReadAt": "2026-09-01T11:58:06.000Z",
"absenceReason": null
}
],
"formula": {
"bands": [
{
"min": 80,
"band": "very-high"
}
],
"method": "weighted-mean-of-piecewise-linea...",
"factors": [
{
"key": "liquidity",
"plane": "dex-pools-token",
"weight": 0.24,
"measures": "USD liquidity summed across the ...",
"inputUnit": "USD",
"inputField": "context.pooledLiquidityUsd",
"breakpoints": [
{
"x": 0,
"score": 0
}
]
}
],
"description": "Each factor maps its raw input o...",
"minWeightCoverage": 0.5
},
"coverage": {
"factorsTotal": 7,
"factorsPresent": 7,
"planesAnswered": [
"dex-price-base"
],
"weightCoverage": 1,
"minWeightCoverage": 0.5,
"planesUnavailable": []
},
"generatedAt": "2026-09-01T12:00:00.000Z",
"methodology": "https://docs.useotto.xyz/acp-swa...",
"scoreWithheldReason": null
},
"meta": {
"degraded": false,
"validUntil": "",
"generatedAt": "",
"stalenessSec": 0
},
"status": "success"
}
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