Crawler Summary

SheetsData answer-first brief

Instant access to electronic component datasheets — specs, pinouts, package info, and more — extracted from manufacturer PDFs. No uploads needed. SheetsData extracts and structures data from thousands of electronic component datasheets so AI agents can look up any part's specifications in seconds. Instead of downloading PDFs and parsing tables manually, just pass a manufacturer part number (MPN) and get back structured electrical characteristics, pin configurations, absolute maximum ratings, and more. ## What you can do - **Find components** — Search across JLCPCB, Mouser, and DigiKey by part number or keyword, with real-time pricing and stock levels - **Read datasheets** — Access any section of a datasheet as structured text: pinout tables, electrical specs, register maps, timing diagrams, application circuits - **Compare parts** — Side-by-side comparison of up to 5 components with specs, pricing, and availability from multiple distributors - **Validate designs** — Check if a component will work within your operating conditions (voltage, current, temperature) against its absolute maximum ratings - **Find alternatives** — Discover substitute components with similar specs, same package, or compatible pinout when a part is unavailable or too expensive - **Analyze images** — Extract data from datasheet graphs, package drawings, and pin diagrams using vision AI ## Tools | Tool | Cost | Description | |------|------|-------------| | `search_parts` | Free | Search components by part number or keyword across JLCPCB, Mouser, and DigiKey | | `search_datasheets` | Free | Semantic search across extracted datasheets (e.g. "low-noise LDO with PSRR above 70dB") | | `prefetch_datasheets` | Free | Batch warm-up extraction for up to 20 parts (fire-and-forget) | | `check_extraction_status` | Free | Poll extraction progress after prefetch or read_datasheet | | `get_part_details` | 4¢ | Full specs, pricing, stock, and datasheet summary for a specific MPN | | `read_datasheet` | 6¢ | Read datasheet sections or semantic search within a datasheet | | `compare_parts` | 10¢ | Side-by-side comparison of 2–5 components | | `check_design_fit` | 10¢ | Validate operating conditions against datasheet limits | | `analyze_image` | 8¢ | Extract data from datasheet graphs, package drawings, and pin diagrams | | `find_alternative` | 10¢ | Find substitute components with similar specs or compatible pinout | ## Recommended workflow 1. `search_parts` to find candidates by keyword or part number 2. `get_part_details` or `compare_parts` to evaluate options 3. `read_datasheet` for detailed specs — start with `section='summary'` to get an overview and discover available sections, then fetch specific sections as needed 4. `check_design_fit` to validate against your design constraints 5. `read_datasheet` with `mode='search'` for any remaining questions about a specific part 6. `analyze_image` when you need data from a graph, package drawing, or pin diagram ## Tips - Use manufacturer part numbers (MPNs) like `TPS54302` or LCSC numbers like `C2837938` — bare values like "100nF" or "10K" are not part numbers - `search_datasheets` is best for broad spec-based discovery (e.g. "LDO with dropout below 200mV and quiescent current under 1uA") - `search_parts` is best for finding a specific part or browsing a category with pricing and stock - First extraction for a new part takes 10–20s as the PDF is downloaded and processed; subsequent calls are cached - Use `prefetch_datasheets` to warm up a batch of parts (e.g. from a BOM) before reading them individually - Prefer requesting specific sections from `read_datasheet` rather than reading everything at once to keep responses focused Instant access to electronic component datasheets — specs, pinouts, package info, and more — extracted from manufacturer PDFs. No uploads needed. SheetsData extracts and structures data from thousands of electronic component datasheets so AI agents can look up any part's specifications in seconds. Instead of downloading PDFs and parsing tables manually, just pass a manufacturer part number (MPN) and get back structur Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

SheetsData is best for general automation workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, Smithery, runtime-metrics, public facts pack

Claim this agent
Agent DossierSmitherySafety: 86/100

SheetsData

Instant access to electronic component datasheets — specs, pinouts, package info, and more — extracted from manufacturer PDFs. No uploads needed. SheetsData extracts and structures data from thousands of electronic component datasheets so AI agents can look up any part's specifications in seconds. Instead of downloading PDFs and parsing tables manually, just pass a manufacturer part number (MPN) and get back structured electrical characteristics, pin configurations, absolute maximum ratings, and more. ## What you can do - **Find components** — Search across JLCPCB, Mouser, and DigiKey by part number or keyword, with real-time pricing and stock levels - **Read datasheets** — Access any section of a datasheet as structured text: pinout tables, electrical specs, register maps, timing diagrams, application circuits - **Compare parts** — Side-by-side comparison of up to 5 components with specs, pricing, and availability from multiple distributors - **Validate designs** — Check if a component will work within your operating conditions (voltage, current, temperature) against its absolute maximum ratings - **Find alternatives** — Discover substitute components with similar specs, same package, or compatible pinout when a part is unavailable or too expensive - **Analyze images** — Extract data from datasheet graphs, package drawings, and pin diagrams using vision AI ## Tools | Tool | Cost | Description | |------|------|-------------| | `search_parts` | Free | Search components by part number or keyword across JLCPCB, Mouser, and DigiKey | | `search_datasheets` | Free | Semantic search across extracted datasheets (e.g. "low-noise LDO with PSRR above 70dB") | | `prefetch_datasheets` | Free | Batch warm-up extraction for up to 20 parts (fire-and-forget) | | `check_extraction_status` | Free | Poll extraction progress after prefetch or read_datasheet | | `get_part_details` | 4¢ | Full specs, pricing, stock, and datasheet summary for a specific MPN | | `read_datasheet` | 6¢ | Read datasheet sections or semantic search within a datasheet | | `compare_parts` | 10¢ | Side-by-side comparison of 2–5 components | | `check_design_fit` | 10¢ | Validate operating conditions against datasheet limits | | `analyze_image` | 8¢ | Extract data from datasheet graphs, package drawings, and pin diagrams | | `find_alternative` | 10¢ | Find substitute components with similar specs or compatible pinout | ## Recommended workflow 1. `search_parts` to find candidates by keyword or part number 2. `get_part_details` or `compare_parts` to evaluate options 3. `read_datasheet` for detailed specs — start with `section='summary'` to get an overview and discover available sections, then fetch specific sections as needed 4. `check_design_fit` to validate against your design constraints 5. `read_datasheet` with `mode='search'` for any remaining questions about a specific part 6. `analyze_image` when you need data from a graph, package drawing, or pin diagram ## Tips - Use manufacturer part numbers (MPNs) like `TPS54302` or LCSC numbers like `C2837938` — bare values like "100nF" or "10K" are not part numbers - `search_datasheets` is best for broad spec-based discovery (e.g. "LDO with dropout below 200mV and quiescent current under 1uA") - `search_parts` is best for finding a specific part or browsing a category with pricing and stock - First extraction for a new part takes 10–20s as the PDF is downloaded and processed; subsequent calls are cached - Use `prefetch_datasheets` to warm up a batch of parts (e.g. from a BOM) before reading them individually - Prefer requesting specific sections from `read_datasheet` rather than reading everything at once to keep responses focused Instant access to electronic component datasheets — specs, pinouts, package info, and more — extracted from manufacturer PDFs. No uploads needed. SheetsData extracts and structures data from thousands of electronic component datasheets so AI agents can look up any part's specifications in seconds. Instead of downloading PDFs and parsing tables manually, just pass a manufacturer part number (MPN) and get back structur

MCPself-declared

Public facts

3

Change events

0

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Apr 15, 2026

Vendor

Sheetsdata

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Sheetsdata

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

MCP

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredSmithery

Extracted files

0

Examples

0

Snippets

0

Languages

Unknown

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredSmithery

Docs source

Smithery

Editorial quality

ready

Instant access to electronic component datasheets — specs, pinouts, package info, and more — extracted from manufacturer PDFs. No uploads needed. SheetsData extracts and structures data from thousands of electronic component datasheets so AI agents can look up any part's specifications in seconds. Instead of downloading PDFs and parsing tables manually, just pass a manufacturer part number (MPN) and get back structured electrical characteristics, pin configurations, absolute maximum ratings, and more. ## What you can do - **Find components** — Search across JLCPCB, Mouser, and DigiKey by part number or keyword, with real-time pricing and stock levels - **Read datasheets** — Access any section of a datasheet as structured text: pinout tables, electrical specs, register maps, timing diagrams, application circuits - **Compare parts** — Side-by-side comparison of up to 5 components with specs, pricing, and availability from multiple distributors - **Validate designs** — Check if a component will work within your operating conditions (voltage, current, temperature) against its absolute maximum ratings - **Find alternatives** — Discover substitute components with similar specs, same package, or compatible pinout when a part is unavailable or too expensive - **Analyze images** — Extract data from datasheet graphs, package drawings, and pin diagrams using vision AI ## Tools | Tool | Cost | Description | |------|------|-------------| | `search_parts` | Free | Search components by part number or keyword across JLCPCB, Mouser, and DigiKey | | `search_datasheets` | Free | Semantic search across extracted datasheets (e.g. "low-noise LDO with PSRR above 70dB") | | `prefetch_datasheets` | Free | Batch warm-up extraction for up to 20 parts (fire-and-forget) | | `check_extraction_status` | Free | Poll extraction progress after prefetch or read_datasheet | | `get_part_details` | 4¢ | Full specs, pricing, stock, and datasheet summary for a specific MPN | | `read_datasheet` | 6¢ | Read datasheet sections or semantic search within a datasheet | | `compare_parts` | 10¢ | Side-by-side comparison of 2–5 components | | `check_design_fit` | 10¢ | Validate operating conditions against datasheet limits | | `analyze_image` | 8¢ | Extract data from datasheet graphs, package drawings, and pin diagrams | | `find_alternative` | 10¢ | Find substitute components with similar specs or compatible pinout | ## Recommended workflow 1. `search_parts` to find candidates by keyword or part number 2. `get_part_details` or `compare_parts` to evaluate options 3. `read_datasheet` for detailed specs — start with `section='summary'` to get an overview and discover available sections, then fetch specific sections as needed 4. `check_design_fit` to validate against your design constraints 5. `read_datasheet` with `mode='search'` for any remaining questions about a specific part 6. `analyze_image` when you need data from a graph, package drawing, or pin diagram ## Tips - Use manufacturer part numbers (MPNs) like `TPS54302` or LCSC numbers like `C2837938` — bare values like "100nF" or "10K" are not part numbers - `search_datasheets` is best for broad spec-based discovery (e.g. "LDO with dropout below 200mV and quiescent current under 1uA") - `search_parts` is best for finding a specific part or browsing a category with pricing and stock - First extraction for a new part takes 10–20s as the PDF is downloaded and processed; subsequent calls are cached - Use `prefetch_datasheets` to warm up a batch of parts (e.g. from a BOM) before reading them individually - Prefer requesting specific sections from `read_datasheet` rather than reading everything at once to keep responses focused Instant access to electronic component datasheets — specs, pinouts, package info, and more — extracted from manufacturer PDFs. No uploads needed. SheetsData extracts and structures data from thousands of electronic component datasheets so AI agents can look up any part's specifications in seconds. Instead of downloading PDFs and parsing tables manually, just pass a manufacturer part number (MPN) and get back structur

Full README

Instant access to electronic component datasheets — specs, pinouts, package info, and more — extracted from manufacturer PDFs. No uploads needed.

SheetsData extracts and structures data from thousands of electronic component datasheets so AI agents can look up any part's specifications in seconds. Instead of downloading PDFs and parsing tables manually, just pass a manufacturer part number (MPN) and get back structured electrical characteristics, pin configurations, absolute maximum ratings, and more.

What you can do

  • Find components — Search across JLCPCB, Mouser, and DigiKey by part number or keyword, with real-time pricing and stock levels
  • Read datasheets — Access any section of a datasheet as structured text: pinout tables, electrical specs, register maps, timing diagrams, application circuits
  • Compare parts — Side-by-side comparison of up to 5 components with specs, pricing, and availability from multiple distributors
  • Validate designs — Check if a component will work within your operating conditions (voltage, current, temperature) against its absolute maximum ratings
  • Find alternatives — Discover substitute components with similar specs, same package, or compatible pinout when a part is unavailable or too expensive
  • Analyze images — Extract data from datasheet graphs, package drawings, and pin diagrams using vision AI

Tools

| Tool | Cost | Description | |------|------|-------------| | search_parts | Free | Search components by part number or keyword across JLCPCB, Mouser, and DigiKey | | search_datasheets | Free | Semantic search across extracted datasheets (e.g. "low-noise LDO with PSRR above 70dB") | | prefetch_datasheets | Free | Batch warm-up extraction for up to 20 parts (fire-and-forget) | | check_extraction_status | Free | Poll extraction progress after prefetch or read_datasheet | | get_part_details | 4¢ | Full specs, pricing, stock, and datasheet summary for a specific MPN | | read_datasheet | 6¢ | Read datasheet sections or semantic search within a datasheet | | compare_parts | 10¢ | Side-by-side comparison of 2–5 components | | check_design_fit | 10¢ | Validate operating conditions against datasheet limits | | analyze_image | 8¢ | Extract data from datasheet graphs, package drawings, and pin diagrams | | find_alternative | 10¢ | Find substitute components with similar specs or compatible pinout |

Recommended workflow

  1. search_parts to find candidates by keyword or part number
  2. get_part_details or compare_parts to evaluate options
  3. read_datasheet for detailed specs — start with section='summary' to get an overview and discover available sections, then fetch specific sections as needed
  4. check_design_fit to validate against your design constraints
  5. read_datasheet with mode='search' for any remaining questions about a specific part
  6. analyze_image when you need data from a graph, package drawing, or pin diagram

Tips

  • Use manufacturer part numbers (MPNs) like TPS54302 or LCSC numbers like C2837938 — bare values like "100nF" or "10K" are not part numbers
  • search_datasheets is best for broad spec-based discovery (e.g. "LDO with dropout below 200mV and quiescent current under 1uA")
  • search_parts is best for finding a specific part or browsing a category with pricing and stock
  • First extraction for a new part takes 10–20s as the PDF is downloaded and processed; subsequent calls are cached
  • Use prefetch_datasheets to warm up a batch of parts (e.g. from a BOM) before reading them individually
  • Prefer requesting specific sections from read_datasheet rather than reading everything at once to keep responses focused

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingSmithery

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/snapshot"
curl -s "https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/contract"
curl -s "https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITLAB_AI_CATALOGgitlab-mcp

Rank

83

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

80

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-openapi

Rank

74

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-actix-web

Rank

72

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "SMITHERY",
      "generatedAt": "2026-04-17T01:40:59.591Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Sheetsdata",
    "href": "https://sheetsdata.com",
    "sourceUrl": "https://sheetsdata.com",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:41:21.254Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:41:21.254Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/smithery-sheetsdata-sheetsdata/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]

Sponsored

Ads related to SheetsData and adjacent AI workflows.