Endpoint · inferencePOSTgateway.stride20k.com /v1/run ?maxTokens=16&model=anthropic%2Fclaude-haiku-4.5&prompt=Reply+with+exactly%3A+pong
LLM inference over x402: POST a prompt (JSON body), get raw model output.
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LLM inference over x402: POST a prompt (JSON body), get raw model output. Flat $0.05 per call (or metered pay-actual-usage when the upto scheme is on); every response prints tokens, upstream cost, margin, and the charge. Model: Anthropic Claude Haiku 4.5 via OpenRouter — no API key, bring a wallet. AI lane declared (aiUse: model-output): model output sold as model output, no system prompt injected. We never store prompts or completions; per-call and daily spend caps enforced.Overview
Grade?
UNRATED
0 of 30 paid calls toward a letter
Price
$0.05 per call
Paid calls
none yet
delivery unknown until someone pays
More info
Seller?
URL
https://gateway.stride20k.com/v1/run?maxTokens=16&model=anthropic%2Fclaude-haiku-4.5&prompt=Reply+with+exactly%3A+pong
Seen
first 35 days ago · last 15 days ago
54 free handshakes
Payment
Pays through
x402
Offered on?
Base USDC
Listed on?
Base
Handshakescomputed 8 days ago
0.729 from 52 free handshakes over 30 days · UNRATED ?
| Component | Weight | Measured | Lower bound ? | Adds | Short ? | Uncertain ? | |
|---|---|---|---|---|---|---|---|
| latency p95costs the most it answered as fast as its class |
0.20 | 0.00 | 0.000 | 0.000 | −0.200 | 0 | |
| liveness it answered at all |
0.60 | 1.00 | 0.882 | 0.529 | 0 | −0.071 | |
| price stability the price stayed where it was listed |
0.20 | 1.00 | 1.000 | 0.200 | 0 | 0 | |
| Composite | 1.00 | 0.729 | gap to 1.000 = 0.271 · 0.200 short · 0.071 uncertain | 0.729 | −0.200 | −0.071 |
Not measured: correctness · nobody paid; honesty · nobody paid; schema conformance · no answer had a published shape to check
BURN_INFREE_TIER_ONLY
Verify it yourself
npx teppi-check https://gateway.stride20k.com/v1/run?maxTokens=16&model=anthropic%2Fclaude-haiku-4.5&prompt=Reply+with+exactly%3A+pongcurl -s https://api.teppi.xyz/v1/trust/cap_01M1A51WA1WNJQ1D6EH8BKPS7M