# RFP Bid Fit Risk Scorer (`rotvuvo/rfp-bid-fit-risk-scorer`) Actor Turn imported RFP and tender rows into deterministic bid/no-bid fit scores, risk flags, and next actions. - **URL**: https://apify.com/rotvuvo/rfp-bid-fit-risk-scorer.md - **Developed by:** [Wit Nomad](https://apify.com/rotvuvo) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## RFP Bid Fit Risk Scorer RFP Bid Fit Risk Scorer is an ingest-first Apify Actor that turns already-collected RFP, tender, and procurement rows into deterministic bid/no-bid scores, risk flags, checklist fields, and next actions. It is built for small B2G vendors, proposal managers, consultants, IT/cyber/MSP firms, agencies, and capture teams that already collect opportunities from existing procurement/tender scrapers, spreadsheets, datasets, alerts, or manual research. ### What it does - Scores each imported opportunity from 0 to 100 using supplied row fields and an optional company profile. - Produces a `BID`, `BID_IF`, `REVIEW`, or `NO_BID` recommendation. - Flags deadline, value range, certification, effort, terms, competition, and missing-evidence risks. - Creates CRM/proposal-ready notes, checklist booleans, and a short next action. - Dedupes exact repeated rows without collapsing the same title from different buyers or deadlines. ### Input This Actor supports `items` mode only. Provide an `items` array of RFP/tender rows and, optionally, a `companyProfile` object. Common row fields include: - `title`, `name`, or `solicitationTitle` - `description`, `summary`, or `scope` - `buyer`, `agency`, `authority`, or `organization` - `deadline`, `dueDate`, `closingDate`, or `responseDeadline` - `value`, `budget`, `estimatedValue`, or `contractValue` - `naics`, `psc`, `category`, or `sector` - `location`, `region`, `country`, or `state` - `url`, `sourceUrl`, `tenderUrl`, or `solicitationUrl` - `requirements`, `mandatoryRequirements`, `certifications`, or `setAside` Optional company profile fields include `companyName`, `capabilities`, `industries`, `certifications`, `regions`, `targetKeywords`, `avoidKeywords`, `minContractValue`, `maxContractValue`, `maxProposalEffortHours`, `currentCapacity`, and `relationshipKeywords`. ### Output Each dataset item contains one scored opportunity with: - normalized opportunity and buyer fields - deadline urgency and days until deadline - contract value and currency - deterministic score, recommendation, and priority - fit reasons, risk flags, missing evidence, and warnings - qualification checklist booleans - next action and pursuit note - confidence score based on supplied evidence completeness ### Limitations This Actor does not scrape procurement portals, SAM.gov, Bonfire, TED, Euna, or buyer websites. It does not submit bids, does not write proposals, discover contacts, enrich paid sources, or replace professional capture/proposal/legal review. It does not guarantee compliance, does not guarantee legal acceptability, does not guarantee win probability, buyer intent, procurement outcome, or that every relevant RFP has been found. Scores are deterministic prioritization aids based only on the input rows and optional company profile supplied to the Actor. ### Local run ```bash npm install npm start -- --input input.json --output output.json ```` # Actor input Schema ## `items` (type: `array`): Rows from existing procurement/tender scrapers, spreadsheets, datasets, or manual research. Common fields: title/name/solicitationTitle, description/summary/scope, buyer/agency/authority/organization, deadline/dueDate/closingDate/responseDeadline, value/budget/estimatedValue/contractValue, category/sector/naics/psc, location/region/country/state, url/sourceUrl/tenderUrl/solicitationUrl, requirements/mandatoryRequirements/certifications/setAside, publishedAt/postedAt. ## `companyProfile` (type: `object`): Optional company fit criteria used for deterministic scoring: companyName, capabilities, industries, certifications, regions, targetKeywords, avoidKeywords, minContractValue, maxContractValue, maxProposalEffortHours, currentCapacity, and relationshipKeywords. ## `maxItems` (type: `integer`): Maximum input opportunity rows to process. ## `scrapedAt` (type: `string`): Optional ISO timestamp for deterministic output metadata and deadline urgency. This Actor does not scrape; when omitted or invalid, it uses this fixed default reference timestamp. ## Actor input object example ```json { "items": [ { "title": "Managed Detection and Response for Texas School District", "description": "District needs cybersecurity MDR, cloud security assessment, and incident response support.", "buyer": "Austin ISD", "deadline": "2026-08-10", "value": "$120,000", "category": "Cybersecurity", "location": "Texas", "url": "https://procurement.example/rfp/mdr-texas-schools", "requirements": [ "Vendor must show SOC 2 evidence", "Remote delivery accepted" ], "proposalEffortHours": 48, "publishedAt": "2026-07-01" }, { "solicitationTitle": "Cloud Security Assessment Services", "scope": "Assessment for public sector cloud controls and incident response readiness.", "organization": "Regional Transit Authority", "responseDeadline": "2026-08-05T17:00:00-05:00", "contractValue": "USD 75,500", "naics": "541519", "state": "Texas", "solicitationUrl": "procurement.example/rfp/cloud-assessment" }, { "name": "Statewide Security Operations Center Support", "summary": "Mandatory FedRAMP authorization and onsite delivery required.", "agency": "State Technology Office", "dueDate": "2026-07-01", "estimatedValue": 180000, "sector": "Cybersecurity", "region": "Texas", "tenderUrl": "https://procurement.example/rfp/fedramp-soc", "mandatoryRequirements": "Bidder must have FedRAMP authorization and SOC 2." } ], "companyProfile": { "companyName": "Northstar Cyber Services", "capabilities": [ "managed detection and response", "incident response", "cloud security assessment" ], "industries": [ "education", "public sector" ], "certifications": [ "SOC 2", "CMMC Level 2" ], "regions": [ "Texas", "Remote", "United States" ], "targetKeywords": [ "cybersecurity", "MDR", "incident response" ], "avoidKeywords": [ "janitorial", "construction" ], "minContractValue": 25000, "maxContractValue": 500000, "maxProposalEffortHours": 80, "currentCapacity": "medium", "relationshipKeywords": [ "incumbent partner", "existing vendor" ] }, "maxItems": 500, "scrapedAt": "2026-07-08T00:00:00.000Z" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "items": [ { "title": "Managed Detection and Response for Texas School District", "description": "District needs cybersecurity MDR, cloud security assessment, and incident response support.", "buyer": "Austin ISD", "deadline": "2026-08-10", "value": "$120,000", "category": "Cybersecurity", "location": "Texas", "url": "https://procurement.example/rfp/mdr-texas-schools", "requirements": [ "Vendor must show SOC 2 evidence", "Remote delivery accepted" ], "proposalEffortHours": 48, "publishedAt": "2026-07-01" }, { "solicitationTitle": "Cloud Security Assessment Services", "scope": "Assessment for public sector cloud controls and incident response readiness.", "organization": "Regional Transit Authority", "responseDeadline": "2026-08-05T17:00:00-05:00", "contractValue": "USD 75,500", "naics": "541519", "state": "Texas", "solicitationUrl": "procurement.example/rfp/cloud-assessment" }, { "name": "Statewide Security Operations Center Support", "summary": "Mandatory FedRAMP authorization and onsite delivery required.", "agency": "State Technology Office", "dueDate": "2026-07-01", "estimatedValue": 180000, "sector": "Cybersecurity", "region": "Texas", "tenderUrl": "https://procurement.example/rfp/fedramp-soc", "mandatoryRequirements": "Bidder must have FedRAMP authorization and SOC 2." } ], "companyProfile": { "companyName": "Northstar Cyber Services", "capabilities": [ "managed detection and response", "incident response", "cloud security assessment" ], "industries": [ "education", "public sector" ], "certifications": [ "SOC 2", "CMMC Level 2" ], "regions": [ "Texas", "Remote", "United States" ], "targetKeywords": [ "cybersecurity", "MDR", "incident response" ], "avoidKeywords": [ "janitorial", "construction" ], "minContractValue": 25000, "maxContractValue": 500000, "maxProposalEffortHours": 80, "currentCapacity": "medium", "relationshipKeywords": [ "incumbent partner", "existing vendor" ] }, "scrapedAt": "2026-07-08T00:00:00.000Z" }; // Run the Actor and wait for it to finish const run = await client.actor("rotvuvo/rfp-bid-fit-risk-scorer").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "items": [ { "title": "Managed Detection and Response for Texas School District", "description": "District needs cybersecurity MDR, cloud security assessment, and incident response support.", "buyer": "Austin ISD", "deadline": "2026-08-10", "value": "$120,000", "category": "Cybersecurity", "location": "Texas", "url": "https://procurement.example/rfp/mdr-texas-schools", "requirements": [ "Vendor must show SOC 2 evidence", "Remote delivery accepted", ], "proposalEffortHours": 48, "publishedAt": "2026-07-01", }, { "solicitationTitle": "Cloud Security Assessment Services", "scope": "Assessment for public sector cloud controls and incident response readiness.", "organization": "Regional Transit Authority", "responseDeadline": "2026-08-05T17:00:00-05:00", "contractValue": "USD 75,500", "naics": "541519", "state": "Texas", "solicitationUrl": "procurement.example/rfp/cloud-assessment", }, { "name": "Statewide Security Operations Center Support", "summary": "Mandatory FedRAMP authorization and onsite delivery required.", "agency": "State Technology Office", "dueDate": "2026-07-01", "estimatedValue": 180000, "sector": "Cybersecurity", "region": "Texas", "tenderUrl": "https://procurement.example/rfp/fedramp-soc", "mandatoryRequirements": "Bidder must have FedRAMP authorization and SOC 2.", }, ], "companyProfile": { "companyName": "Northstar Cyber Services", "capabilities": [ "managed detection and response", "incident response", "cloud security assessment", ], "industries": [ "education", "public sector", ], "certifications": [ "SOC 2", "CMMC Level 2", ], "regions": [ "Texas", "Remote", "United States", ], "targetKeywords": [ "cybersecurity", "MDR", "incident response", ], "avoidKeywords": [ "janitorial", "construction", ], "minContractValue": 25000, "maxContractValue": 500000, "maxProposalEffortHours": 80, "currentCapacity": "medium", "relationshipKeywords": [ "incumbent partner", "existing vendor", ], }, "scrapedAt": "2026-07-08T00:00:00.000Z", } # Run the Actor and wait for it to finish run = client.actor("rotvuvo/rfp-bid-fit-risk-scorer").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "items": [ { "title": "Managed Detection and Response for Texas School District", "description": "District needs cybersecurity MDR, cloud security assessment, and incident response support.", "buyer": "Austin ISD", "deadline": "2026-08-10", "value": "$120,000", "category": "Cybersecurity", "location": "Texas", "url": "https://procurement.example/rfp/mdr-texas-schools", "requirements": [ "Vendor must show SOC 2 evidence", "Remote delivery accepted" ], "proposalEffortHours": 48, "publishedAt": "2026-07-01" }, { "solicitationTitle": "Cloud Security Assessment Services", "scope": "Assessment for public sector cloud controls and incident response readiness.", "organization": "Regional Transit Authority", "responseDeadline": "2026-08-05T17:00:00-05:00", "contractValue": "USD 75,500", "naics": "541519", "state": "Texas", "solicitationUrl": "procurement.example/rfp/cloud-assessment" }, { "name": "Statewide Security Operations Center Support", "summary": "Mandatory FedRAMP authorization and onsite delivery required.", "agency": "State Technology Office", "dueDate": "2026-07-01", "estimatedValue": 180000, "sector": "Cybersecurity", "region": "Texas", "tenderUrl": "https://procurement.example/rfp/fedramp-soc", "mandatoryRequirements": "Bidder must have FedRAMP authorization and SOC 2." } ], "companyProfile": { "companyName": "Northstar Cyber Services", "capabilities": [ "managed detection and response", "incident response", "cloud security assessment" ], "industries": [ "education", "public sector" ], "certifications": [ "SOC 2", "CMMC Level 2" ], "regions": [ "Texas", "Remote", "United States" ], "targetKeywords": [ "cybersecurity", "MDR", "incident response" ], "avoidKeywords": [ "janitorial", "construction" ], "minContractValue": 25000, "maxContractValue": 500000, "maxProposalEffortHours": 80, "currentCapacity": "medium", "relationshipKeywords": [ "incumbent partner", "existing vendor" ] }, "scrapedAt": "2026-07-08T00:00:00.000Z" }' | apify call rotvuvo/rfp-bid-fit-risk-scorer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rotvuvo/rfp-bid-fit-risk-scorer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RFP Bid Fit Risk Scorer", "description": "Turn imported RFP and tender rows into deterministic bid/no-bid fit scores, risk flags, and next actions.", "version": "0.1", "x-build-id": "Hg2bIREyAUqZ2RwsQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rotvuvo~rfp-bid-fit-risk-scorer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rotvuvo-rfp-bid-fit-risk-scorer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/rotvuvo~rfp-bid-fit-risk-scorer/runs": { "post": { "operationId": "runs-sync-rotvuvo-rfp-bid-fit-risk-scorer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/rotvuvo~rfp-bid-fit-risk-scorer/run-sync": { "post": { "operationId": "run-sync-rotvuvo-rfp-bid-fit-risk-scorer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "items" ], "properties": { "items": { "title": "RFP/tender rows", "minItems": 1, "type": "array", "description": "Rows from existing procurement/tender scrapers, spreadsheets, datasets, or manual research. Common fields: title/name/solicitationTitle, description/summary/scope, buyer/agency/authority/organization, deadline/dueDate/closingDate/responseDeadline, value/budget/estimatedValue/contractValue, category/sector/naics/psc, location/region/country/state, url/sourceUrl/tenderUrl/solicitationUrl, requirements/mandatoryRequirements/certifications/setAside, publishedAt/postedAt.", "items": { "type": "object" } }, "companyProfile": { "title": "Company profile", "type": "object", "description": "Optional company fit criteria used for deterministic scoring: companyName, capabilities, industries, certifications, regions, targetKeywords, avoidKeywords, minContractValue, maxContractValue, maxProposalEffortHours, currentCapacity, and relationshipKeywords.", "default": {} }, "maxItems": { "title": "Maximum rows", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum input opportunity rows to process.", "default": 500 }, "scrapedAt": { "title": "Reference timestamp", "type": "string", "description": "Optional ISO timestamp for deterministic output metadata and deadline urgency. This Actor does not scrape; when omitted or invalid, it uses this fixed default reference timestamp.", "default": "2026-07-08T00:00:00.000Z" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```