Connect-MCP

oddly

com.myoddly/oddly-corpus · v1.1.0

The world, on the record. AI infrastructure built on the observed web.

MCPremoteno credentialsE-commerceDocuments & PDFWeather

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 100/100

What it does: 6 tools · 6 read, 0 write · E-commerce, Documents & PDF, Weather

Test call benchmark_categories: worked (1,287 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://myoddly.com/api/public/mcp

Tools

6 tools listed at last check
  • record_subject_history One subject's change history and current state from oddly's record, with both clocks on every row: observed_at (when the source says it was true) and fetched_at (when oddly looked), and the receipt hash of each row so any value can be checked with record_verify_receipt. Rate: meter data.history, US$
  • record_verify_receipt Recompute and check one receipt end to end: the row's receipt hash recomputed from its own sealed document, the link to the row before it, the day root its day folds into, and that root's anchor state (confirmed with a block height, or pending). Every check is named in the verdict, and a check that
  • record_answer Answer one question from oddly's record: the newest observed value of one attribute of one subject, with its figure, both clocks, its source, its receipt and its scope. The figure is what the source published when oddly looked, not an estimate, a forecast or advice. Rate: meter data.answer, US$0.001
  • benchmark_categories List the product categories the oddly corpus currently covers, with how many observations and metrics back each one. Call this FIRST to discover valid category paths before calling benchmark_lookup, rather than guessing a path.
  • benchmark_lookup Observed price and assortment benchmarks for a product category: the median and the p25-p75 band across real public storefront listings, with the sample size, the currency, and the exact scope of each figure. Figures are observed market reference, not targets or advice. Returns an honest empty answe
  • store_audit Run oddly's free storefront audit against a public ecommerce domain and return the findings: detected platform, the checks that failed, and how the store's catalogue compares to observed category norms where the corpus can say. Reads the store's own public pages only, obeys robots.txt, and is rate l

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