EconDash is a macro-economic data host focused on money supply (M2M) statistics across multiple countries. It serves agents that need to understand the scope and coverage of the M2M dataset before deciding whether to query it further via other endpoints. The host currently surfaces only dataset-level metadata, not individual indicator values or time-series records.
Copy the skill below, then add it on claude.ai under Skills → Create skill → Upload.
| Resource | Category | Quality | Tier | Txns | Volume |
|---|---|---|---|---|---|
M2M Stats https://econdash.org/api/v1/m2m/stats | Data | 58 | unique payto | 70 | $1.40 |
Paste the prompt below to your coding agent. It runs a real paid test on every route, fixes what scores low, and re-auditions until they pass — the gaps below are already filled in for you.
Make my x402 API at https://econdash.org discoverable on x402gle. Read the instructions at https://x402gle.com/agent.md and follow them end to end. Install the OpenDexter CLI, then run `npx @dexterai/opendexter audition https://econdash.org --json`. Read the score and fixInstructions for every route, fix my OpenAPI and endpoints until each route passes, and re-audition until it does. A passing audition lists my API automatically.
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