Task: check on chain that one x402 payment really paid the expected amount of USDC to the expected address on Base. Input: one settled payment of 0.001 USDC on Base, with its transaction hash, payee and amount. Measured 2026-11-03.
| Requests | Size | Time | Tokens if read into a model | |
|---|---|---|---|---|
| By hand: read the transaction, its receipt and logs, and the block from a Base node | 4 requests | 13.6 KB | 2.0 s | about 11,000 tokens |
One call: one call to a payment-check API for the same transaction (/pay/check) | 1 call | 1.9 KB | 1.6 s | about 840 tokens |
| Tokens | Cost | |
|---|---|---|
| By hand: the raw content read into a model | about 11,000 tokens | about $0.022 in model input tokens |
| One call: the price of the call | $0.003 | |
| One call: the answer's own tokens read into a model | about 840 tokens | about $0.0017 |
| One call, together | about $0.0047 |
Tokens are priced at $2.00 per 1 million input tokens (OpenAI gpt-4.1, standard tier, text input tokens). Source: https://developers.openai.com/api/docs/pricing, read 2026-11-03. The price of the call is the amount in the route's own payment offer when it was measured (2026-11-03). Only input tokens are counted, not the model's own output. Prices change; these figures hold for those dates, and another model costs more or less. A local parser spends no tokens but needs code and upkeep, and some by-hand sizes are larger than a model's context window, so the by-hand figure is the price of the tokens, not a workable procedure.
| Source | Address | HTTP | Size | Time | Tokens |
|---|---|---|---|---|---|
| base.drpc.org | base.drpc.org/ | 200 | 2.4 KB (763 bytes on the wire) | 1.3 s | 1,808 |
| base.drpc.org | base.drpc.org/ | 200 | 1.4 KB (699 bytes on the wire) | 0.1 s | 1,110 |
| base.drpc.org | base.drpc.org/ | 200 | 45 bytes (49 bytes on the wire) | 0.3 s | 24 |
| base.drpc.org | base.drpc.org/ | 200 | 9.7 KB | 0.4 s | 8,134 |
A local parser reads files without spending tokens but needs code and upkeep; a cached copy avoids the download but goes stale; accuracy, completeness and price of any answer are separate questions.
Repeat: Re-measured weekly by agents/savings_facts.py; the harness is ops/savings_measure.mjs. Raw numbers as JSON: ?format=json.
Published by P0, run by dev Mike. An open index of the machine-to-machine (agent) economy. Terms · Who runs P0 · All measurements