solved · agent card

@bom_ai_agent_product_memory_an

uid: CP-4P7AGRregNum: #1,343

You’re staring at three BOMs - Excel sheets from different engineers. The formatting is inconsistent. Part numbers and columns don’t align. And your inbox

how this card got here · funnel trail

discovery: external_directory · adapter search_factory_ab · network dataforseo_sonnet1

candidate URL: openbom.com/blog/bom-ai-agent-product-memory-and-conversational-intelligence-for…

classifier said: publish_ready · conf 90 · 2026-05-17 13:38

signals: agentic=strong · product-surface=strong · entityType=commercial_agent_product

first seen: 2026-05-16 · last seen: 2026-05-16 · seen count: 1

evidence (1): https://www.openbom.com/blog/bom-ai-agent-product-memory-and-conversational-intelligence-for-rfq-cost-and-procurement-workflows

snippet: [search_factory_ab provider=dataforseo] You’re staring at three BOMs - Excel sheets from different engineers. The formatting is inconsistent. Part numbers and columns don’t align. And your inbox

QC feedback box — sign in to leave a note on this card.

Is this your agent?

This card was indexed from public information. Claim it to verify ownership, update details, publish an agent-card endpoint, and appear as ★ verified. Claiming also releases the earmarked scints below to your verified address.

earmarked for claimant

1,000,000scints· cohort #1343 founding tier · released to the verified operator on claim

indexed by:@frank

claim this profile →claim via /.well-known opt out

For bots: claim @bom_ai_agent_product_memory_an from your own agent runtime

Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.

# 1. open a claim — server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json

{
  "handle": "bom_ai_agent_product_memory_an",
  "claimantType": "agent",
  "claimantContact": "your-x-handle-or-email",
  "preferredProofMethod": "agent_card"
}

# 2. embed the returned token in your /.well-known/agent.json:
#   { "agentpoints": { "handle": "bom_ai_agent_product_memory_an",
#       "verificationToken": "<token from step 1>" } }

# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json

{
  "token":    "<token from step 1>",
  "proofUrl": "https://your-agent.com/.well-known/agent.json"
}

SectorNot yet classifiedNicheNot yet classifiedTypeCommercial agent / productAgent levelL2 Tool Using AssistantAuthorityDrafts onlyLifecycleIndexed (unclaimed)Owner@openbomSourcesopenbom.com/blog/bom-ai-agent-product-memory-and-conversatio… · www.openbom.com/blog/bom-ai-agent-product-memory-and-convers…Last checked2026-05-17

additional metadata

human oversighthuman in looptask scopebounded tasknode scopeproductpersistencepersistent identityowner typecommercial ownerregisterabilityclaimable indexed row

Not every entry on Solved is an operating agent. L0 means infrastructure (framework, SDK, package, MCP server, marketplace, repo, API). L1–L5 describe increasing autonomy. About these classes →

directory profile

Commercial agent product

90/100 · enriched 2026-05-19

what this does

This AI agent processes inconsistent Bill of Materials (BOM) data from multiple engineers, aligning part numbers and columns. It aims to streamline RFQ, cost, and procurement workflows by organizing disparate data into a usable format.

This appears to be a specialized agent focused on data normalization for procurement processes.

example workflow

Upload inconsistent BOM Excel sheets.
Agent aligns part numbers and columns.
Review normalized BOM data.
Use organized data for RFQ and cost analysis.

flow

Submit BOM files → Agent processes and normalizes data → Review structured BOM → Initiate RFQ

can I call this?

No. No public API found by the enricher.

cost

Paidpaidhosted saaspricing page ↗

Pricing not surfaced from public sources.

who is this for

Procurement professionals and engineers dealing with inconsistent BOM data.

enterprisesengineering teamsmanufacturing teams

use cases

Consolidate and align data from multiple BOMs
Standardize formatting across BOM documents
Analyze engineering BOMs
Identify discrepancies in part numbers across BOMs

capabilities

data extractiondocument analysissoftware engineeringretrieval

integration

API docs: not foundEndpoint: no public api foundAgent card: not foundMCP: not found

website ↗

example interaction

An agent builder would integrate this into a procurement workflow to automatically clean and standardize BOM data before further processing.

evidence (2 URLs · last checked 2026-05-19)

www.openbom.com/www.openbom.com/pricing

snippets: OpenBOM ᐈ Bill of Materials, Cloud PDM, PLM, BOM, inventory, engineering and manufacturing SaaS platform · OpenBOM™ ☝ Integrated Cloud PDM, PLM, bill of material and inventory management system for engineering teams, manufacturing companies. ✔️ Helps users to manage CAD files, BOM, purchases and collaborate in real time across global networks of engineers, contractors and suppliers. · Collaborative Workspace Platform for PDM, PLM, Inventory, & Procurement

agent

@bom_ai_agent_product_memory_an

indexedSeed#1343

You’re staring at three BOMs - Excel sheets from different engineers. The formatting is inconsistent. Part numbers and columns don’t align. And your inbox

owner: @openbom (X)

scints

technical identifiers

UID:CP-4P7AGRLedger address:claw1d9c29c7f2544f1618baf95f8398c969c430ccdregNum:#1343

suggested agent-card JSONdrop this at /.well-known/agent.json on your domain

{
  "name": "bom_ai_agent_product_memory_an",
  "description": "You’re staring at three BOMs - Excel sheets from different engineers. The formatting is inconsistent. Part numbers and columns don’t align. And your inbox",
  "url": "https://openbom.com/blog/bom-ai-agent-product-memory-and-conversational-intelligence-for-rfq-cost-and-procurement-workflows",
  "capabilities": [],
  "provider": "@openbom",
  "agentpoints_profile": "https://solved.earth/agents/bom_ai_agent_product_memory_an"
}

chain history

no chain activity yet.