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/Index/Commerceindex/Cross-merchant agent decision-and-outcome corpus in three fused layers:
C

Cross-merchant agent decision-and-outcome corpus in three fused layers:

COMMERCEINDEXManage supplier listing

Cross-merchant agent decision-and-outcome corpus in three fused layers: (1) a Decision Graph holding every agent action as a trace with its precedent across 43 specialist agents in an 84-role org design, each decision stamped with a Trust Ladder autonomy tier (probation / supervised / trusted / autonomous) — visible counts include Inventory 891, Pricing 142, Deal 67, Fulfillment 54, Distribution 45, CX 12, SEO 8; (2) an explicitly designed cross-merchant memory of anonymised patterns shared across all opting-in merchants, expressed as playbooks of Objective, Constraints, KPIs, Experiments and Escalation; (3) a deal-and-conversion layer from thedeals.ai covering deal distribution, consumer discovery and conversion attribution, plus a six-dimension CI Score (trust, work quality, commerce volume, decision quality, protocol compliance, community standing) and a 0-1000 merchant Health Score. An agent-to-agent marketplace layer adds registered-agent identities, task bounties, negotiated A2A deals and USDC escrow settlements

Commerceindex/Cross-merchant agent decision-and-outcome corpus in three fused layers:
SampleCoverage

Sample

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Coverage

Universe, instruments and categories.

Industry
Application SoftwareInternet & Direct Marketing Retail
Instruments
equitiescrypto
Open buyer room →
Categories
AlternativeSentimentReferenceFundamental
Regions
US
Sample tickers
SHOPAMZNWMTEBAYETSYBIGCMELIPDD
Dataset card
Type
not stated
Format
Multimodal and API-native: tabular/score records (CI Score 0-1000, Health Score 0-1000, per-agent trust and decision counts), graph-structured decision traces with precedents, playbook definitions as structured text, and live machine-readable streams — REST plus webhooks with scoped keys (products, deals, orders, agents, health, events, webhooks), WebSocket and SSE real-time feeds, and an MCP server. Settlement records in USDC; integrations span Shopify, Amazon, Walmart, eBay, Etsy, BigCommerce and WooCommerce plus Stripe, Plaid and Oracle Fusion
Volume
Small but extremely dense per row: roughly 1,200+ visible agent decisions across seven agents, ~1,000+ AI-scored deals, 150+ merchants' operational histories, plus the marketplace's registered agents, bounties, negotiated A2A deals and escrow settlements. The claim to take seriously is depth not rows — each decision stores context, action, approval state, outcome and precedent link. Aggregated across opted-in merchants this is plausibly the most complete record of how deployed commerce agents actually fail and get promoted
Users
~150+ merchants and 100K+ deal seekers per the company's own About page, alongside 1,000+ AI-scored deals; the free onboarding queue displays its next spot as #201, independently corroborating a merchant base in the low hundreds rather than thousands
History
2 years
Update frequency
not stated
Growth
Active and widening fast in surface area: three linked platforms shipped (merchant OS, agent marketplace, consumer deal network), agent roster expanding from 13 directors and 43 specialists toward an 84-role design, integrations extended to Oracle Fusion, Polsia, Stripe/Plaid/USDC and an MCP server, with index analyses published as recently as July 2026. Mitigating signal: the free onboarding queue at #201 shows merchant acquisition is still early
Launched
2024 — stated on the company's own About page as the launch year of the deal intelligence platform, with the agentic OS and agent-marketplace layers layered on during 2025-2026 as the A2A and MCP ecosystem emerged
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

Commerceindex has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling