Chain TVL History is a paid API for AI agents from api.vextorium.com, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-28).
Returns the TVL history of a blockchain including current value, all-time high, distance from ATH, 30d/1y changes, and a sampled time series, sourced from DefiLlama.
558 pay-per-call data APIs for AI agents: Solana and EVM on-chain data, tokenized stocks, DeFi, Hyperliquid, economy and official statistics, FX, validation, web and developer tools. Pay in USDC via x402.
A JSON object containing the chain name, current TVL in USD, historical maximum TVL in USD and its date, percentage distance from ATH, 30-day % change, 1-year % change, a note, and a sampled time series of date/TVL pairs covering the requested look-back window.
POSThttps://api.vextorium.com/v1/chain-tvl-history?utm_source=zero.xyzUse this endpoint when you need historical TVL context for a specific blockchain — especially cycle position (distance from ATH), trend direction (30d/1y changes), and a time series for charting. Prefer this over a simple current-TVL lookup when the user wants to understand momentum, recovery, or where a chain stands relative to its peak. It is more focused than a full cross-chain rankings endpoint and more detailed than a snapshot metric.
| Field | Type | Description |
|---|---|---|
| days | integer | Look-back window in days (30-2000, default 365) |
| chain | string | Chain name, e.g. Ethereum, Base, Solana, Arbitrum |
{
"type": "json",
"example": {
"note": "Chain TVL history. The distance from the peak shows where it is in the cycle. Source: DefiLlama.",
"chain": "Ethereum",
"series": [
{
"date": "2025-10-01",
"tvl_usd": 87979353983
},
{
"date": "2025-10-31",
"tvl_usd": 84255331431
}
],
"max_date": "2021-11-09",
"change_1y_pct": -40.24,
"since_max_pct": -50.84,
"change_30d_pct": 8.32,
"current_tvl_usd": 52830721315,
"historical_max_usd": 107458598469
}
}No reviews yet. Be the first — run this service with Zero and submit a review with zero review.
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"