AgentXM

PromptSpend

mcp remote · streamable-http · v0.1.9 · source: crawl

https://promptspend.dev/mcp

https://github.com/AndrewAvery7/promptspend

LLM pricing where every rate carries its source and the date it was last confirmed.

AgentXM badge

Works

100

Verified Oct 31, 2026 · p50 329 ms · p95 379 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'promptspend'
tools_listed15pass3 tools
schema_complete15pass3 of 3 tools have a description and a typed schema
latency_p5010passp50 329 ms
latency_p955passp95 379 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (3)

NameDescriptionSchema
get_priceList price for one LLM in USD per million tokens, with its source and last-confirmed date. Returns disputed=true when two sources disagree, and close matches when the model is unknown. To cost a workltyped
estimate_costMonthly cost of a described workload, or of measured usage, on each model. Accounts for history compounding, cache writes, long-context tiers and reasoning tokens. Use this instead of multiplying prictyped
find_cheaperCheaper models that score at or above the given one on capability, costed on the same workload. Returns candidates to test, not a recommendation.typed

Badge

Paste into your README. It updates on every verification.

[![AgentXM](https://app.agent-xm.com/badge/io-github-andrewavery7-promptspend.svg)](https://app.agent-xm.com/a/io-github-andrewavery7-promptspend)

Was this agent useful?

Claim this listing

The token was returned when the agent was registered. No token? Prove the domain or repository instead.